At ReputationDefender I serve as Managing Director with responsibility for P&amp;L ownership, global sales, operations, marketing, product, and go to market strategy. Our work centers on protecting leaders in high visibility roles who face real reputational and privacy risk. For many of our clients, trust and discretion are not optional. They are the entire mandate.My focus at ReputationDefender is centered on three priorities that define how we operate:1. Protecting clients who face constant public scrutiny and need a trusted partner when the pressure is highest2. Advancing a product suite that keeps pace with the speed of digital risk and the complexity of modern search, social, AI, and underground data exposure3. Building a scalable commercial and operational model that delivers a consistent and high touch client experience across executives, board directors, family offices, and public figuresAlongside this mission I run the business. I unify GTM, product, operations, marketing, and forecasting into one operating system built for predictable growth. I drive clarity and accountability across the organization. I develop leaders who can support turnaround environments. And I install the discipline and inspection rhythm required for sustained performance.My background spans Fortune 250 companies, PE backed transformations, and technology organizations where execution matters. I have led teams of more than two thousand employees. I have built large scale outbound engines responsible for significant new revenue growth. I have rebuilt commercial and operational systems inside digital marketplaces and BPO environments. I have strengthened partnerships with law firms, financial institutions, and governance leaders who rely on us to manage digital visibility, misinformation, and privacy exposure.A few experiences that shape how I operate today:• Graduate of the Stanford Executive Program with a focus on global leadership• Participant in the FBI Citizens Academy with emphasis on cybersecurity and digital risk• Leader of multiple large scale turnarounds across public, private, and PE owned companies• Advisor to executives navigating complex visibility and reputation challengesWhether I am guiding a client through a sensitive visibility issue or leading a commercial transformation, my approach stays consistent. Clear strategy. Strong execution. The right people in the right roles.If you are navigating digital visibility, reputational risk, or broader commercial challenges, I am always open to connecting.

Chad Angle

Reputation risk rarely shows up as a single event.

It accumulates quietly through search results, exposed data, and outdated narratives long before anyone labels it a crisis.

I shared some perspective on why reputation is fundamentally an exposure problem, not a perception problem, and why privacy is now inseparable from leadership risk.

Full piece here:

Managing Director at ReputationDefender | GTM & Revenue Transformation Leader | Executive Privacy & Digital Risk Expert

Open article: Navigating Online Reputation Management and Digital Privacy in the Modern Era by ceotimes.com

Navigating online reputation management and digital privacy in the modern era

Navigating Online Reputation Management and Digital Privacy in the Modern Era

The FBI Phoenix Citizens Academy was one of the most eye-opening programs I’ve participated in. It reinforced how much of the work that keeps communities safe happens quietly, thoughtfully, and with real accountability.

If you’re curious about public service, leadership under pressure, or how federal law enforcement actually operates behind the scenes, I’d strongly recommend applying.

Deadline is approaching and spots are limited.

Registration is now open for the FBI Phoenix Citizens Academy, with classes available in both Phoenix and Tucson! Ever wanted to ask the FBI those tough questions - or see behind the scenes of how the FBI Phoenix Division works to keep your community safe? Watch the video below to hear about Chad Angle's experience in last fall's class.   

Deadline to apply is January 23, 2026.
 
To learn more about the program, visit: https://lnkd.in/gu7rkJPg

For a direct link to the application: https://lnkd.in/gATGAAUt

Most companies don’t think about defamation until it’s already costing them money, credibility, or leadership focus.

That’s a mistake.

Online defamation today moves faster than legal review, PR approvals, or internal escalation paths. AI has only accelerated the problem.

I just published a new piece in Forbes on how smart companies are preparing before the first false claim ever appears.

This isn’t about crisis PR.
It’s about treating defamation as a strategic risk, the same way leaders think about cyber, regulatory, or operational exposure.

If you’re a CEO, board member, or GC, this is the framework you want in place before you’re tested.

#ExecutiveLeadership #BoardGovernance #ReputationRisk #DigitalRisk

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The common thread across all of these wasn’t the mistake. It was the response speed.

ReputationDefender by Norton 

Gen™ 

social-www.forbes.com

How Smart Companies Prepare For Online Defamation Before It Happens

Forbes

I once watched a team scramble to fix a rumor that started with one wrong line in an email.

It spread faster than their correction did.
Not because it was true, but because it was easy to believe.

That day I learned that facts don’t defend themselves — people do.
When trust gets tested, communication becomes leadership.

💭 Protecting your reputation starts with how you show up when people doubt you most.

2025 didn’t just “happen.” It left receipts.

Before we head into 2026, here are 10 business realities that defined 2025 and will keep shaping decisions next year, with real-world context behind them:

1. Banks stopped betting on growth and started betting on trust
Large financial institutions redirected investment toward advisor oversight, digital footprint monitoring, and reputational risk controls after realizing a single advisor issue could ripple across thousands of client relationships.

2. AI didn’t transform service. It exposed it.
Companies deployed AI into customer service and operations, only to discover that unclear ownership and broken handoffs created more friction than efficiency.

3. Tariffs quietly reshaped supply chains again
Procurement and finance teams were forced to reprice contracts or absorb margin hits as tariff adjustments surfaced late in the cycle. Nearshoring and supplier redundancy returned to board conversations.

4. Boards became materially more risk-aware
Reputation, cyber exposure, and executive visibility moved from discussion topics to standing agenda items tied directly to valuation, deal velocity, and trust.

5. Customer expectations reset upward, permanently
AI-trained customers expected faster responses, cleaner digital experiences, and fewer excuses. Churn increased even when product quality did not change.

6. Marketing efficiency mattered more than marketing volume
Volume-first strategies broke forecasting and sales trust. Several organizations quietly rolled them back mid-year.

7. Executives became the brand whether they wanted to or not
Search results, AI summaries, and social visibility increasingly influenced enterprise buying decisions and partner diligence.

8. Regulatory scrutiny didn’t slow innovation. It redirected it
Firms that embedded compliance into product and go-to-market workflows moved faster than those trying to bolt it on after launch.

9. “Transformation” fatigue became real
Teams stopped responding to vision decks and started responding to execution clarity. Fewer initiatives. Clear owners. Measurable outcomes.

10. Reputation proved it is no longer a soft metric
In 2025, reputation directly affected sales cycles, hiring outcomes, and board confidence. It became a performance variable.

Going into 2026, the question isn’t what’s next.

It’s which of these realities you’re designing for instead of reacting to.

I keep a close eye on real movers in the reputation and First Amendment space.

This is one of those moves worth paying attention to.

When experienced operators choose a platform like this to build nationally, it usually signals where the market is headed, not just where it’s been.

I am thrilled to announce that I have joined the partnership of Hilgers PLLC's Dallas office, led by the inestimable Grant Schmidt.  I am building a First Amendment / reputation defense practice in Dallas with nationwide reach, and Hilgers has the perfect blend of expertise, vision, and culture to do so. The Dallas office also maintains robust, Chambers-ranked litigation and SEC practices, and I am looking forward to lending my expertise to those groups as well!

Grant and the whole team in Dallas have made me feel immediately at home, and I am so excited for the future!

Feedback like this matters.

Reputation issues are rarely just technical problems. They’re personal, stressful, and often time-sensitive. Our responsibility is to slow things down enough to ask the right questions, understand the full picture, and act with precision.

Proud of the team for how they approach this work every day.

View company: Reputation Defender by Norton

You can depend on us to help defend your reputation, Alan.

When Reputation Strategy Meets the Courtroom

Defamation isn’t only about what was said. It’s about where it lives.

We worked on a case where false claims had already reached page one. Legal action could take months, but search results move in minutes.

That is why reputation work belongs inside litigation strategy. Lawyers manage filings. Reputation teams manage visibility. Both matter when public opinion forms before the verdict.

Every modern defamation case now has a digital front line.

#Defamation #ReputationManagement #LegalStrategy

Honored to be included in Forbes Business Council’s latest piece on brand discoverability in a zero-click world.

The big shift is simple
Visibility is no longer about rankings or traffic.
It’s about whether AI systems trust your brand enough to name you as the answer.

This article brings together leaders across marketing, PR, SEO, and security to outline what actually works when clicks disappear.

A few perspectives worth calling out:
🔍 Cindy Machles at Glue Advertising and Public Relations nails the importance of unifying PR, SEO, and marketing into a single, consistent brand signal. AI reads coherence before creativity.
🎯 Sahil Gandhi at Blushush makes the case for owning one sharp problem and repeating it relentlessly. If your positioning sounds fuzzy to a human, it disappears to AI.
📌 Omar Alofi at Seven Circles Technology reframes the goal entirely. Stop chasing rankings and start becoming the definitive source AI pulls from. 

If you’re a CEO, CMO, founder, or board member trying to understand why your brand feels harder to find, this is worth a read.

#BrandStrategy #AI #DigitalVisibility #ExecutiveLeadership #ReputationManagement #MarketingStrategy #BoardGovernance

How To Optimize For Brand Discoverability In A Zero-Click World

Board Member/Top 100 Innovator and Entrepreneur/Who’s Who Honoree/Forbes Council

Glue Advertising and Public Relations

Brand Strategist | Helping SMEs, Entrepreneurs, and Startups Craft Clear, Actionable Strategies

Shoulder Surgeon | CEO | Serial Entrepreneur | Digital Health Innovator | Healthcare Transformation | Forbes Business Council Member | Social Media Voice

Most business risks don’t show up as crises.

They show up as small signals everyone notices but no one owns.

Reputation damage usually starts there.

Quiet.
Preventable.
Ignored.

Every year has moments that quietly change the rules.

2025 had more than most.

Not because people made bigger mistakes.

But because the systems that amplify those mistakes got faster, louder, and harder to reverse.

J.P. Morgan cutting proxy advisors isn’t about “AI replacing humans.”
It’s about reclaiming accountability.

JPMorganChase just made a consequential move: walking away from external proxy advisors and replacing them with an internal AI platform, Proxy IQ, to guide shareholder voting across thousands of companies.

This wasn’t sudden. Jamie Dimon has been publicly critical of proxy advisors for years, arguing that standardized frameworks and outsourced judgment distort real stewardship.

From where I sit working with banks, wealth platforms, and advisors, three things matter here.

First, this is a governance decision, not a cost decision. Proxy firms like Institutional Shareholder Services and Glass Lewis didn’t just provide research. They quietly shaped outcomes. JPM is saying that if it’s going to vote trillions of dollars on behalf of clients, the logic, trade-offs, and accountability should live inside the institution.

Second, AI didn’t remove risk. It relocated it. An external advisor spreads liability. An internal system concentrates it. That’s a deliberate choice. JPM is betting it can govern its models, oversight, escalation paths, and exceptions better than it can govern third parties. That’s confidence, not recklessness.

Third, this is where financial institutions are heading whether they admit it or not. Banks already use AI for credit, fraud, surveillance, and suitability. Governance was simply one of the last “sacred” human domains. That line just moved.

The real question isn’t whether AI will make mistakes. It will.

The question boards and regulators should be asking is this:
Who owns the decision, who can explain it, and who is accountable when it’s wrong?

On that axis, JPM’s move is actually clearer than the old model.

This won’t be the last large institution to do this. But it will be the one everyone watches.

wsj.com

Exclusive | JPMorgan Cuts All Ties With Proxy Advisers in Industry First

J.P. Morgan

JPMorganChase

Chairman and CEO of JPMorgan Chase & Co.

The Price of Visibility

The internet rewards visibility.
It rarely forgives it.

Every post, every interview, every public comment adds to your digital identity.
For leaders, that visibility builds credibility — until it doesn’t.

The challenge isn’t being seen.
It’s being seen correctly.

Here’s what I tell executives every week:
✅ Own your narrative before someone else shapes it
✅ Update your online presence regularly
✅ Keep personal and professional boundaries clear

Reputation management isn’t about hiding.
It’s about managing exposure with intention.

You don’t need less visibility.
You need smarter visibility.

#ReputationManagement #ExecutiveBrand #Leadership

The reputational issues that escalate fastest are rarely the ones people plan for.

They’re the ones everyone assumed “would never happen.”

Harvard Business School just made teamwork uncomfortable ⚠️
One of the oldest assumptions in organizational design is breaking.

AI now handles much of what teams were built to do: integrate expertise and reduce uncertainty.

That forces a different board-level question.
Not: How do we use AI to make teams more productive?
But: Which work still deserves a team at all?

Speed and leverage benefit from fewer handoffs and AI-enabled individuals.

Breakthrough innovation still requires human tension, debate, and judgment under ambiguity.

Trying to optimize for both everywhere is the mistake.

Thoughtful, well-framed recap by David Kochanek on what this really means for boards and organizational design.

#BoardGovernance #OrganizationalDesign #Leadership #ArtificialIntelligence

https://lnkd.in/gXT3dQxi

David Kochanek

AI Is Quietly Redefining Teamwork. Boards Need to Pay Attention.

Harvard Business School

Personal Branding & Thought Leadership Strategy for Executives

Every PR Crisis Starts with Silence

The first mistake most companies make in a crisis isn’t what they say.
It’s what they don’t say.

The first 12 hours define the narrative.
The public rarely remembers the trigger. They remember the tone, the speed, and whether leadership looked in control.

Here’s the playbook that works:
✅ Acknowledge quickly
✅ Clarify facts you know
✅ Commit to updates as you learn
✅ Speak with one voice, not ten

In reputation management, silence doesn’t buy you time. It sells your credibility.

#CrisisManagement #PRStrategy #Reputation

2025’s Top 10 Reputation Moments
(That every executive should have studied)

2025 was a masterclass in how reputation actually works now.

Not in theory.
In real time.
With consequences.

Here are 10 reputation moments from 2025 that quietly rewired how trust, visibility, and risk operate, whether leaders noticed or not:

1. The Coldplay concert clip
One fan video from a stadium seat shaped public narrative faster than any corporate statement could. By the time responses came out, context was already set. Speed, not polish, determined the outcome.

2. AI summaries became the first impression
Executives learned that people no longer “Google you.” They ask AI to summarize you. And those summaries often pulled from outdated articles, old controversies, or incomplete context even when search results looked clean.

3. The comeback apology that actually worked
A leadership team responded within the same news cycle, acknowledged impact without defensiveness, and avoided legal hedging. Engagement dropped within 48 hours. Similar incidents handled slowly lingered for weeks.

4. The brand that chose silence
The strategy was “don’t fuel it.” Instead, speculation filled the vacuum, employees leaked context, and the narrative ran sideways. Silence didn’t de-escalate. It surrendered control.

5. The executive whose old blog post resurfaced
A decade-old personal post conflicted with modern expectations and reappeared during a fundraising cycle. It wasn’t journalists who found it. Automated monitoring did. The response lagged behind discovery.

6. The influencer issue that became a board topic
What started as a sponsored post backlash escalated into advertiser concern, customer complaints, and governance conversations. Influence crossed from marketing into enterprise risk.

7. The company that over-corrected publicly
Multiple apologies and clarifications followed in quick succession. Each update reignited attention. The walk-back caused more damage than the original misstep. Panic spoke louder than accountability.

8. The deepfake scare
Fabricated executive audio circulated briefly. It was debunked quickly, but trust still took a hit. The reputational damage wasn’t belief. It was doubt.

9. The lawsuit that “won” and still lost
Legal victory didn’t translate to public trust. Headlines focused on tone and power imbalance, not the ruling. The reputational cost outlasted the case.

10. The moment leaders realized reputation isn’t PR anymore
Reputation became a function of discovery, AI memory, speed, and resilience. PR was just one input. Not the system.

The 2025 takeaway:
Reputation isn’t about controlling the story.

It’s about how well you hold when control disappears.

If you lead a company, sit on a board, or carry a visible profile, 2026 will test this even harder.

I’ve watched teams spend days debating language while the internet decided tone in minutes.

Alignment feels productive.

Timing is what actually protects you.

Your Crisis Playbook Starts Before the Crisis

Every executive says they’re prepared until they’re trending. Then everyone scrambles for statements, lawyers, and silence.

Real preparation looks different. It means:
1️⃣ Knowing your online footprint before others weaponize it
2️⃣ Assigning decision rights early
3️⃣ Having a 24-hour digital response plan that is tested, not theoretical

A brand survives a crisis by how fast it moves, not how loudly it apologizes.

#CrisisManagement #Leadership #Reputation

Reputation used to decay over time.

Now it snapshots instantly.

What people see first becomes what they remember longest.

Dr Emmanuel Ogungbemi

Head of Data Engineering | I help you improve your productivity with data and AI

From being a data analyst to leading the development of data pipelines, my journey in data engineering and analytics has been both challenging and rewarding.

When I began my career in data, I faced the daunting task of turning vast amounts of raw data into actionable insights.

The problem? Many organisations struggle with fragmented data and inefficient processes.

Here's how I tackled these challenges and built a successful career in data:

1. Crafted Data Solutions: Designed and implemented a Common Data Platform, ensuring seamless data integration and access.
2. Led Innovative Projects: At NATS, I contributed to the world's first AI system for air traffic control, utilising digital twinning and machine learning.
3. Developed Future Talent: Shaped data science and engineering education at Multiverse by developing comprehensive curricula for degree-level apprenticeships.
4. Consulted on High-Impact Projects: Provided AI and data science consultancy for industry giants like BP, Sword and Chaucer (now BIP UK), driving data-driven decision-making and innovation.

Now, I'd like to talk about you.

Are you aspiring to become a successful data analyst/data scientist/data engineer but need help figuring out where to start?

Here's a roadmap to guide you:

1. Master the Fundamentals:
- Learn key programming languages like Python and SQL.
- Understand data structures, algorithms, and database management.

2. Gain Practical Experience:
- Work on real-world projects to apply your skills.
- Use tools like Power BI and Tableau for data visualisation.

3. Join the Community:
- Participate in data science forums and attend industry events.
- Network with professionals to exchange knowledge and opportunities.

4. Continuous Learning:
- Stay updated with the latest trends and technologies in data analytics.
- Take advanced courses to deepen your expertise.

To help you get started, I've created a comprehensive Data Analyst Roadmap that outlines the essential steps and resources you need to succeed.

Join my email list to register your interest in my free Data Analyst Roadmap.

You have the potential to excel in the data industry, and I'm here to support your journey.

Let's connect and share our experiences in data engineering and analytics!

Head of Data Engineering

I am excited to share a valuable resource: SQL Practice 1!

This comprehensive guide provides 24 practical SQL queries to help you enhance your database management and query-writing skills. 

Perfect for students, professionals, and anyone looking to deepen their SQL knowledge, this document covers a wide range of scenarios using single table queries, aggregation, and group by statements.

Key topics include:
- Displaying specific columns and rows
- Using DISTINCT to remove duplicates
- Filtering data with WHERE and LIKE clauses
- Aggregating data with SUM, COUNT, MAX, and MIN functions
- Grouping data with GROUP BY and HAVING clauses
- Joining tables and using subqueries


Enhance your SQL skills and become proficient in writing efficient and effective queries with this practical guide!

- Repost to share with others
- Save to revisit down the road
- Add your comment!

I help you break into data science and AI with practical tips, real-world insights, and the latest trends.

SQL Practise

I am excited to share an essential resource: Structured Query Language (SQL) by Fang Ying, Sham!

This comprehensive guide covers fundamental SQL concepts and commands, making it perfect for students, professionals, and anyone looking to deepen their understanding of SQL and database management.

Key topics include:
- Creating and using databases and tables
- Inserting, updating, and deleting records
- Basic SQL queries: SELECT, WHERE, ORDER BY, DISTINCT
- Advanced SQL operations include JOINs, UNIONS, INTERSECT, and EXCEPT.
- Working with views, temporary tables, and common table expressions (CTEs)
- String functions, subqueries, and stored procedures
- SQL ranking functions: ROW_NUMBER, RANK, DENSE_RANK, NTILE
- Handling NULL values and using CASE statements
- Aggregation functions: COUNT, SUM, AVG, MAX, MIN
- Data type conversions and partitioning

Enhance your SQL skills and streamline your database management tasks with this detailed guide!

- Repost to share with others
- Save to revisit down the road
- Add your comment!

SQL Commands II

I am excited to share an invaluable resource: Introduction to Programming with Python!

This comprehensive guide covers the fundamental concepts of programming using Python. 

Perfect for students, beginners, and anyone looking to enhance their programming skills, this document provides clear explanations and practical examples.

Key topics include:
- Programming basics: source code, syntax, and output
- Compiling and interpreting Python code
- Working with expressions, arithmetic operators, and precedence
- Handling integer and real number operations
- Using variables and assignment statements
- Printing output and reading user input
- Control flow: loops (for, while) and conditionals (if/else)
- Data types: strings, lists, tuples, sets, and dictionaries
- Functions and higher-order functions
- Object-oriented programming: classes, objects, methods, and inheritance
- File processing and text manipulation


Enhance your Python programming knowledge and build a solid foundation with this detailed guide!

- Repost to share with others
- Save to revisit down the road
- Add your comment!

The award of this certificate is in recognition of my participation in the SEEP 2019 conference held between 18 - 21 November 2019 at the University of Sharjah, United Arab Emirates where I delivered two (2) papers.

Certificate of Participation

The certificate is a result of my participation in the 5th International Conference on Material Science & Smart Materials where I presented a poster titled "Characterisation of Solar Materials and Electronic Devices using Cadmium Telluride (CdTe) and Zinc Sulphite (ZnS) as a Case Studies"

Certificate

The certificate is a result of my participation in the SEEP 2018 conference where I presented a paper titled "Effect of Membrane Thickness on the Performance of PEM Fuel Cell"

Certificate of National Service

I received this letter due to my invaluable contribution to the successful delivery of the first historic comprehensive training programme for the Volunteer Cadets in Nigeria, the OYES Volunteer Cadets' Training Course.  

Letter of Appreciation

The certificate is a recognition of my service to the club as the Vice-President (Business) in 2010.

Certificate of Fellowship

The award is a recognition of my service to the student society as General Secretary - 2007/2008, Vice-President - 2008/2009, President - 2009/2010 and National Vice-President (West) - 2010/2011.

Certificate of Service

This certificate is due to my participation in the 40th annual general meeting and conference of the society.

Certificate of Attendance

I received this certificate as a result of my participation in the international essay competition organised by the World Bank. The title is "How does youth unemployment affect you? How can you tackle youth unemployment through youth-led solutions"

Certificate of Merit

Marketing: Copywriting for Social Media

Developing CI/CD Solutions with Azure DevOps

Python Projects

Microsoft Certified: Azure Data Engineer Associate

Microsoft Certified: Azure AI Fundamentals

Microsoft Certified: Azure Data Fundamentals

Microsoft Certified: Azure Fundamentals

Data Engineering Foundations

[PCAP-31-03] PCAP – Certified Associate in Python Programming

Agile at Work: Building Your Agile Team

Scrum: The Basics

Stay Lean with Kanban

Machine Learning Essentials for Seismic Interpretation

Starting a Memorable Conversation

Artificial Intelligence Foundations: Neural Networks

Diversity, Inclusion, and Belonging

Machine Learning and AI Foundations: Classification Modeling

Body Language for Leaders

Industrial/Oilfield Health, Safety & Environmental Management Appreciation

Introduction to Auditing and Evaluating Behaviour Change (IEMA approved training)

International Association of Engineers

Institution of Chemical Engineers (IChemE)

The Institution of Engineering and Technology

Emmanuel is dedicated to helping you break into data science and AI with practical tips, real-world insights, and the latest trends.

Emmanuel Ogungbemi | Substack

We are delighted to be back for the second edition of ML Club Live!

This event is all about getting hands-on with GenAI, with some coding examples and also some discussions of interesting papers.

As always, this is community-driven, so if you want to come and speak about anything related to ML or AI, even for 10 minutes, please reach out to Emmanuel (bunmieogungbemi@gmail.com) or Andy (andrewpmcmahon629@gmail.com).

ML Club - July 2024 - Hands on with GenAI, Tue, Jul 2, 2024, 5:30 PM | Meetup

I coordinate Real Projects Talk for AFBE-UK Scotland

Organising Data Science and Engineering events
- To help newbies get into data science
- Organise boot camps to support learning and development
- Support working professionals by providing mentorship and advice
- https://www.meetup.com/ml-club/

Introduction to Programming with Python

I am excited to share an essential resource: An Introduction to SQL by Alkistis Pourtsidou from Queen Mary, University of London!

This comprehensive guide covers the fundamental concepts of SQL, making it perfect for students, professionals, and anyone looking to deepen their understanding of databases and SQL. 

From basic queries to advanced operations, this document provides a thorough introduction to SQL.

Key topics include:
- What is SQL and why we need databases?
- Ways to use SQL: console commands, GUI interfaces, and programming language interfaces
- Basic SQL commands: SHOW DATABASES, SHOW TABLES, SHOW COLUMNS, DESCRIBE
- Variable types supported by SQL: Numeric, Character, Binary, and Temporal
- Hands-on examples using SQLite3 in Python
- Exploring tables and combining information using JOIN
- Exercises and tasks to practice SQL skills
- Introduction to PostgreSQL: installation, creating databases, and running queries
- Handling NULL values, creating views, string concatenation, and subqueries


Enhance your SQL skills and database management knowledge with this detailed guide!

- Repost to share with others
- Save to revisit down the road
- Add your comment!

An Introduction to SQL

I'm excited to share an essential resource: the Python Basics Cheatsheet by Waleed Mousa!

This comprehensive cheatsheet covers fundamental Python concepts and commands, making it perfect for beginners and experienced programmers alike. 

It's a handy reference guide to enhance your coding skills and boost your productivity in Python.

Key topics include:
- Basic Syntax and Operations
- Data Structures: Lists, Dictionaries, Tuples, and Sets
- Control Flow: If statements, loops, and comprehensions
- Functions and Modules: Defining, importing, and using functions
- Error Handling: Try-except blocks and raising exceptions
- File Handling: Reading, writing, and managing files
- Object-Oriented Programming: Classes, objects, inheritance, and more
- Advanced Topics: Lambda functions, generators, decorators, and context managers
- Popular Libraries: NumPy, Pandas, Matplotlib, and more
- Date and Time Operations
- File Paths and Directories
- Networking and HTTP Requests
- Debugging and Profiling
- Testing and Writing Unit Tests
- Virtual Environments and Packaging
- Regular Expressions
- Data Serialization: JSON and Pickle
- Multithreading and Multiprocessing
- Asynchronous Programming


Enhance your Python programming knowledge and keep this cheatsheet as a quick reference to streamline your coding tasks!

- Repost to share with others
- Save to revisit down the road
- Add your comment!

Python Basics

Cloud Computing Tutorial

In a crowd of opinions, the softest voices often carry the deepest insights.

This message, inspired by Dora Vanourek, truly resonates.

Here’s what introverts wish leaders said in meetings:
(and a few things not to say):

✅ "Let's take a moment to think this through."
↳ Introverts need time to process before speaking.
↳ This approach gives everyone a chance to reflect.
↳ It leads to more thoughtful and meaningful input.

✅ "If you have further thoughts, email them to me."
↳ Introverts often think of their best ideas later.
↳ Written communication can be more comfortable.
↳ Ensures valuable insights aren't missed after the meeting.

✅ "We'll discuss XYZ next time. Bring your ideas."
↳ Provides time for introverts to prepare and reflect.
↳ Encourages thoughtful contributions in future discussions.
↳ Boosts confidence in sharing ideas during the meeting.

❌ "You are so quiet today."
↳ Quietness doesn’t mean disengagement.
↳ Comments like this can feel judgmental.
↳ It’s better to appreciate different communication styles.

❌ "Try to be more outgoing in meetings."
↳ Suggests their natural style is wrong.
↳ Not everyone is comfortable speaking on the spot.
↳ Emphasizes extroverted behavior as the standard.

❌ "Everyone share a fun fact about themselves!"
↳ Personal sharing can be uncomfortable.
↳ Introverts may feel stressed or pressured.
↳ Creates anxiety rather than fostering connection.

True leaders don’t just listen to the loudest voices.
They create space for those who often go unheard.

Respecting different communication styles fuels collaboration.
Let’s build inclusive cultures where everyone thrives.

How do you ensure all voices are heard in your meetings? 
Let me know in the comments👇

♻️ Repost to support introverts in the workplace.
➕ Follow Emmanuel Ogungbemi for more leadership and workplace insights.

intovets

7 Clear Signs You’re Being Undervalued at Work:

(And what to do about it)

1.	You’re Excluded from Decisions
↳ Major decisions are made without your input.
↳ This makes you feel sidelined and unimportant.
↳ Being part of key discussions should be the norm, not the exception.

2.	They Give You Busywork, Not Impactful Projects
↳ You’re handed small, non-impactful tasks while others take on critical projects.
↳ Your potential is being wasted on work that doesn’t move the needle.
↳ Push for projects that align with your strengths and goals.

3.	You’re Not Set Up to Succeed
↳ You lack the resources, support, or clarity needed to perform well.
↳ This leads to frustration and sets you up for failure.
↳ Success requires the right tools and direction—don’t settle for less.

4.	Your Role Expands Without Rewards
↳ You’re constantly taking on more responsibilities, but your title and pay stay the same.
↳ If you’re doing more, you deserve to be compensated accordingly.
↳ Speak up about aligning your role with fair recognition.

5.	No Recognition for Your Hard Work
↳ Your contributions go unnoticed, and there’s no appreciation for what you do.
↳ Recognition is key for morale and motivation, and everyone deserves it.
↳ It’s time to request regular feedback and acknowledgment.

6.	Your Growth Stalls
↳ You’re not being given opportunities to develop new skills.
↳ If you feel stuck, it’s a sign your potential isn’t being nurtured.
↳ Start exploring options that align with your growth ambitions.

7.	Inadequate Compensation
↳ Your salary doesn’t reflect your contributions to the company.
↳ If others in similar roles are being paid more, it’s time to negotiate.
↳ Know your worth and advocate for fair compensation.

________________________________________

Feeling undervalued can be draining, 
but recognizing the signs is the first step to change.

Do any of these resonate with you? 
Let me know in the comments! 👇

Thanks, Dora Venourek for sharing.

♻️ Repost to help others recognize their worth.
🔔 Follow Emmanuel Ogungbemi for more workplace and career insights.

7 Signs You Are UnderValued At Work

When I first entered the world of data, I discovered the power of SQL and databases to transform raw data into meaningful insights.

The challenge? 

Many professionals struggle to grasp the foundational concepts and practical applications of SQL.

Here's how I mastered SQL and databases and advanced my career:

1. Learning the Basics
I started with the core concepts of relational databases and understanding tables, relationships, and critical constraints.

2. Hands-On Practice
Wrote optimised SQL queries to extract, manipulate, and analyse data across various projects.

3. Complex Problem Solving: 
Designed and implemented efficient database schemas and complex queries to support large-scale data platforms.

4. Continuous Improvement
Stayed updated with the latest database technologies and best practices through courses, certifications, and community involvement.

Now, let's talk about you.

Are you looking to enhance your skills in SQL and databases but don't know where to start?

Here's a structured approach to help you:

1. Understand the Fundamentals
- Learn about relational database concepts and structures.

2. Get familiar with SQL syntax and basic queries (SELECT, INSERT, UPDATE, DELETE).

3. Practical Application
- Practice writing SQL queries to solve real-world problems.
- Use database management systems like MySQL, PostgreSQL, and Microsoft SQL Server.

4. Advanced Techniques:
- Explore advanced SQL topics such as joins, subqueries, indexing, and transaction management.
- Learn how to denormalise database schemas for efficient data storage and retrieval.

5. Continuous Learning and Networking
- Join SQL and database forums to ask questions and share knowledge.
- Attend webinars and workshops to stay updated with industry trends.

I've created a comprehensive Data Analyst Roadmap to support your learning journey with essential steps and resources for mastering SQL and databases.

To get a link to download your free Data Analyst Roadmap, do this:
1. Repost 
2. Comment "share".

You have the potential to excel in SQL and database management, and I'm here to help you achieve your goals.

Let's connect and share our experiences in data engineering and analytics!

Excited to share an essential resource: Data Engineering Cert Prep - Notes!

This comprehensive guide is perfect for anyone preparing for a data engineering certification. It covers a wide range of topics, from Databricks basics to advanced ETL processes with Spark SQL, making it an invaluable resource for data engineers.


Key topics include:
- Databricks Basics: Creating clusters, using notebooks, and running different languages.
- Delta Lake: Managing Delta tables, merge operations, and advanced options like Optimize and Z ORDER.
- Relational Entities: Databases, tables, views, and common table expressions (CTEs).
- ETL with Spark SQL: Querying files, creating Delta tables, and writing to tables.
- Advanced SQL Transformation: Working with JSON data, arrays, joins, pivot tables, and higher-order functions.
- Python for Spark SQL: Using Python for data manipulation and control flow within Spark SQL.
- Incremental Data Processing: Utilizing Autoloader for incremental data processing.
- Medallion Architecture: Understanding the Bronze, Silver, and Gold architecture for data processing.
- Delta Live Table: Using declarative language for ETL processes, quality control, and referencing streaming tables.
- Task Orchestration: Running jobs and managing dependencies with DAG.
- DB SQL & Dashboard: Executing SQL queries, creating dashboards, and setting up alerts.
- Managing Permissions: Using Data Explorer to set and modify permissions.


Enhance your preparation for data engineering certifications and streamline your data engineering processes with this detailed guide!

- Repost to share with others
- Save to revisit down the road
- Add your comment!

Data Engineering Certificates Preparation

I am excited to share an invaluable resource: CI/CD Pipeline-as-Code with Jenkins and Docker by Kishore Bhatia!

This comprehensive guide explores how to effectively use Jenkins and Docker together to create seamless CI/CD pipelines. 

Perfect for DevOps engineers and developers, this document covers essential techniques and best practices for building, testing, and deploying applications.

Key topics include:
- Running Jenkins Masters and Slaves in Docker
- Building, testing, and deploying Docker images from Jenkins
- Custom build environments for reproducibility and isolation
- Managing Docker host configurations with CloudBees Docker Shared Config
- Traceability of Docker images and containers in Jenkins
- Integrating Docker Hub notifications to trigger Jenkins jobs
- Implementing Jenkins Pipeline-as-Code for streamlined workflows


Enhance your CI/CD processes and streamline your DevOps practices with this detailed guide!

- Repost to share with others
- Save to revisit down the road
- Add your comment!

CICD Pipeline-as-code with Jenkins and Docker

I am excited to share an insightful resource: Apache Spark (CS240A) by T. Yang!

This comprehensive guide explores the powerful capabilities of Apache Spark for distributed computing. 

Ideal for data scientists, engineers, and anyone working with big data, this document provides a deep dive into Spark's architecture, APIs, and applications.

Key topics include:
- Introduction to Hadoop and MapReduce
- Overview of Spark and its advantages over MapReduce
- Python examples and list comprehension
- Key concepts of RDDs (Resilient Distributed Datasets)
- Language support for Python, Scala, and Java
- Creating RDDs and Spark transformations
- Basic actions and working with key-value pairs
- Detailed explanation of the DAG scheduler
- Setting the level of parallelism
- Interactive shell and standalone application usage
- Example application: PageRank algorithm using MapReduce


Enhance your understanding of distributed computing and harness the full power of Apache Spark with this detailed guide!

- Repost to share with others
- Save to revisit down the road
- Add your comment!

Apache Spark

Documentaries offer more than just entertainment
- they expand your thinking, connect dots, and help you approach life like the top 1%.

They dive into real-world experiences, 
providing actionable lessons that can reshape how you approach work, money, and life.

Here are 7 binge-worthy documentaries that will change the way you think:

1️. The Mind Explained
↳ Discover how your brain processes emotions and memories.
↳ Learn the science behind decision-making and behaviour.
↳ Unlock techniques to boost your mental potential.

2️. The Social Dilemma
↳ Understand how social media manipulates your behaviour.
↳ Learn the psychology behind your screen habits.
↳ Explore ways to regain control of your online life.

3️. Working: What We Do All Day
↳ Gain insights into different professions and career paths.
↳ Explore how people find meaning and purpose in their work.
↳ Learn how to apply purpose-driven work principles in your career.

4️. The Playbook: A Coach’s Rules for Life
↳ Learn life-changing leadership lessons from top coaches.
↳ Discover how resilience plays a key role in success.
↳ Get actionable strategies for overcoming adversity.

5️. Get Smart With Money
↳ Master the basics of financial literacy and wealth-building.
↳ Discover strategies for budgeting and saving.
↳ Learn how to make your money work for you.

6️. The Minimalists
↳ Understand the philosophy behind minimalism and intentional living.
↳ Learn how to declutter your life and focus on what matters.
↳ Explore how simplifying your life can lead to greater happiness.

7️. Inside Bill’s Brain
↳ Dive into the habits of one of the world’s most brilliant thinkers.
↳ Learn how Bill Gates tackles complex global challenges.
↳ Explore his approach to solving problems and innovating.

What’s your go-to documentary for personal growth?
Let me know in the comments! ⬇️

Thanks to César Solís for this inspiring list!
—
I'm Emmanuel Ogungbemi, a Data Engineering SME passionate about leveraging data for impactful change.

♻️ Repost if you found this helpful!
🔔 Follow me for more insights on personal and career growth.

7 Netflix Documentaries You Need To Watch

The 8 Software Development Life Cycle Models You Should Know

Choosing the right software development model can significantly impact the success of your project. 

Here are 8 SDLC models and when you should consider using them:

1.	Waterfall
↳ Sequential phases: design, build, test, deploy.
↳ Best for projects with clear, unchanging requirements.
↳ Simple but rigid—ideal for small projects.

2.	Spiral
↳ Iterative and risk-driven approach with continuous refinement.
↳ Useful for complex projects that involve high risk and frequent changes.
↳ Allows for continuous evaluation and improvement.

3.	Agile
↳ Focuses on delivering incremental updates through short sprints.
↳ Ideal for projects requiring flexibility and collaboration.
↳ Prioritizes customer feedback and adaptive planning.

4.	Iterative
↳ Builds software in iterations, improving with each cycle.
↳ Great for large projects that need continuous refinements.
↳ Each iteration includes design, testing, and implementation.

5.	V-Model
↳ Developers and testers work in parallel—strict validation and verification process.
↳ Best for projects where validation at each step is essential.
↳ Ensures thorough testing before progressing to the next phase.

6.	Incremental
↳ Delivers the software in smaller, manageable increments.
↳ Ideal for large projects where full deployment isn’t feasible from the start.
↳ Each increment brings a working version closer to the final product.

7.	Big Bang
↳ Everything is developed at once—no formal planning.
↳ High risk but suitable for small projects or experimental prototypes.
↳ Requires significant time and resources upfront.

8.	Rapid Application Development (RAD)
↳ Focuses on quick development and frequent iterations through prototypes.
↳ Best for projects with tight deadlines or evolving requirements.
↳ Encourages user feedback and fast adaptation to changes.

________________________________________

Which SDLC model fits your project needs? Let me know in the comments! ⬇️

♻️ Repost to help your network understand SDLC models.
🔔 Follow Emmanuel Ogungbemi for more insights on software development best practices.

No alternative text description for this image

Transform Your Life Today! 

Discover These 11 Unbelievable Tricks to Boost Your Productivity and Success! 🌟

Feeling stuck in your routine? 

It's time to shake things up! 

Here are 11 simple yet powerful changes you can make right now to drastically improve your personal and professional life:

1/ Set Clear, Achievable Goals - Break your dreams down into actionable steps.

2/ Rise Early - Win the morning, win the day!

3/ Exercise Daily - Boost your energy levels and clear your mind.

4/ Read Every Day - Expand your knowledge and escape the mundane.

5/ Prioritize Your Tasks - Focus on what really moves the needle.

6/ Practice Gratitude - Keep a journal and reflect on what you appreciate every day.

7/ Learn to Say No - Protect your time and commit to what truly matters.

8/ Take Regular Breaks - Prevent burnout and keep your mind fresh.

9/ Network Proactively - Surround yourself with people who inspire you to grow.

10/ Embrace Lifelong Learning - Stay curious and always be willing to learn something new.

11/ Visualize Success - Spend time each day imagining your life as you want it to be.

Don't just dream about a better life—make it happen! 

Start incorporating these habits into your daily routine and watch how they open doors to new opportunities and paths to success. 

What’s your first step going to be? 

Let me know in the comments below!

11visuals

36 Ways to Improve Yourself

Improving oneself is a continuous journey, and there are many avenues to explore that can lead to personal growth. 

Here are 36 ways to work on self-improvement:

1. Read daily: commit to reading books that challenge your perspective.

2. Set clear goals: define what you want to achieve in different areas of your life.

3. Exercise regularly: keep your body healthy with routine physical activity.

4. Meditate: spend time in quiet reflection to improve mindfulness and reduce stress.

5. Wake Up Early: start your day with purpose and quiet time to plan.

6. Learn a New Skill: whether it’s a language or a craft, learning keeps your brain sharp.

7. Keep a journal: write down your thoughts and reflections to understand yourself better.

8. Drink more water: hydration is key to maintaining energy and health.

9. Eat healthier: focus on a balanced diet that fuels your body and mind.

10. Stretch daily: maintain flexibility and prevent injuries.

11. Practice gratitude: remind yourself daily of what you’re thankful for.

12. Declutter: reduce stress by keeping your living and working spaces organized.

13. Travel: experience new cultures and ideas.

14. Volunteer: give back to the community to gain perspective and feel more connected.

15. Limit social media: be mindful of the time you spend online.

16. Set a budget: manage your finances to reduce stress and achieve your financial goals.

17. Practice public speaking: improve your communication skills and confidence.

18. Listen actively: Enhance your relationships by really listening to others.

19. Start a side project: channel your passions into a project.

20. Rest Effectively: Ensure you get enough sleep and take breaks to recharge.

21. Say no: honour your boundaries and spend time on what truly matters to you.

22. Ask for feedback: Understand how others perceive you and where you can improve.

23. Take courses: online courses can help you progress professionally and personally.

24. Stay Inspired: Watch TED talks, listen to podcasts, and seek inspiring content.

25. Network: Connect with people who can influence and motivate you.

26. Forgive: Let go of grudges to free yourself from negative emotions.

27. Be patient. Understand that personal growth takes time.

28. Seek Challenges: Step out of your comfort zone to grow.

29. Practice Positive Self-Talk: Encourage yourself and avoid negative thoughts.

30. Stay Organized: Keep track of your tasks and responsibilities.

31. Reduce Stress: Identify stressors and find ways to mitigate them.

32. Follow Your Curiosity: Allow yourself to explore new topics.

33. Improve Your Body Language: Communicate confidence and openness.

34. Build resilience: learn from setbacks and keep moving forward.

35. Maintain friendships


36. Celebrate small wins

These steps can help guide you on a path to a more fulfilling and balanced life. 

Each step taken is a step toward becoming the best version of yourself.

Data Science is NOT All About Coding. 
 
 
When I first entered the data science arena armed with solid coding skills, I thought I was fully equipped.  
 
But as I navigated real-world data challenges, I quickly realized that my coding prowess was just one piece of the puzzle.  
 
The journey into data science demanded much more! 
 
Data science is indeed a mosaic of skills, not a monolith built solely on coding. It thrives on a blend of technical skills and strategic thinking. 
 
DOs: 
 
- Embrace Statistics 
 
Master statistical methods to extract meaningful insights from raw data. 
 
- Cultivate Domain Expertise 
 
Deepen your understanding of the industry you're serving to make your analyses more impactful. 
  
- Enhance Problem-Solving Skills 
 
Engage in projects that push your analytical boundaries and require novel solutions. 
 
DON'Ts: 
 
- Don't Focus Solely on Coding 
 
While important, don't neglect the power of analytical reasoning and contextual knowledge. 
 
- Don't Ignore Soft Skills 
 
Communication and teamwork are crucial in translating data insights into actionable business decisions. 
 
- Don't Stop Learning 
 
The field is evolving rapidly; staying updated is key to staying relevant. 
 
Did you ever encounter a moment in your data science journey where coding alone wasn't enough?  
 
What other skills have you found essential? 
 
If this resonates with you, like, comment, and share your thoughts!  
 
How do you balance data science's technical and strategic demands in your career? 
 
Stay tuned for more myths busted and tips shared.  
 
Follow me, and let's connect to explore the multifaceted world of data science together!

Some Power BI interview questions for an analyst interview :

1. What is Power BI, and how do you use it?

2. How do you connect to data sources in Power BI?

3. What is a measure in Power BI, and how do you create one?

4. What are the differences between calculated columns and measures in Power BI?

5. Can you explain the concept of drill-through in Power BI and give an example?

6. How do you create a dashboard in Power BI, and what are the best practices?

7. How do you use Power Query in Power BI to clean and transform data?

8. What is DAX, and how do you use it in Power BI?

9. Can you explain the difference between a table and a matrix visual in Power BI?

10. How do you use Power BI to create a report that updates automatically based on new dataset? 

11. How do you share your reports and dashboards with others in Power BI?

12. How do you handle large datasets in Power BI?

13. Can you give an example of a complex data model you have built in Power BI?

14. How do you handle data refreshes in Power BI, and what options are available?

15. How do you handle security and permissions in Power BI?

16. What are some limitations of Power BI, and how would you work around them?

17. Can you explain the difference between calculated columns and measures in Power BI?

18. How do you create a drill-through report in Power BI?

19. How do you create a custom visualization in Power BI?

20. How do you optimize the performance of a Power BI report?

21. Can you explain the difference between DirectQuery and Import modes in Power BI?

Common ETL Pipeline Mistakes Every Data Engineer Should Avoid! 

As a seasoned vet in data engineering, I've noticed that even the pros sometimes stumble over the same hurdles when crafting ETL pipelines.

Here's how to avoid those pitfalls and elevate your data workflows:

1. Data Quality Checks: DON'T SKIP!
Missing these can seriously affect your results. To maintain its accuracy, validate your data relentlessly.

2. Scalability is Key
Failing to plan for growth will eventually clog up your pipeline. Always design with expansion in mind to keep things running smoothly.

3. Monitoring & Alerting:
Implement monitoring tools and set alerts to catch and squash bugs as soon as possible.

4. Keep Transformations Simple
Complications aren't always better. Aim for sleek, simple transformations to avoid unnecessary headaches.

5. Documentation is your Best Friend
Don't leave your team guessing. Clear, comprehensive documentation saves time and sanity.

By dodging these common errors, you're on your way to creating top-notch, robust ETL pipelines that stand the test of time.

Remember, perfection is a journey. Keep refining your craft and embracing the ever-changing data landscape.

Your thoughts? What other blunders should we watch out for in ETL development?

Let's share our wisdom and grow together!

Feeling swamped by machine learning's complexity? 

You're in good company.

Here's your step-by-step guide to conquering machine learning basics:

1. Grasp the Essentials
   - Master key programming languages: Python and R are your new best friends.
   - Wrap your head around vital concepts: think statistics, linear algebra, and calculus.

2. Conquer Core Algorithms
   - Dive deep into the world of linear regression, decision trees, and clustering.
   - Learn not just the 'what', but the 'how' and 'when' to deploy each algorithm.

3. Practical Application
   - Take on real-world projects to bring theories to life.
   - Develop and evaluate models with the help of TensorFlow, Scikit-learn, and PyTorch.

4. Keep Your Knowledge Fresh
   - Stay ahead with the latest industry trends and breakthroughs.
   - Engage in forums, workshops, and research papers to keep your edge sharp.

5. Foster a Supportive Community
   - Connect with fellow enthusiasts and experts.
   - Exchange insights, ask for feedback, and collaborate on exciting projects.

Machine learning is more than just crunching numbers�it�s about leveraging your know-how to tackle real challenges.

Kickstart your journey with these foundational steps and make your mark on the machine learning universe.

What�s been a game-changer in your machine-learning adventure?

Drop your thoughts below! 

Did you find this helpful, or do you know someone who might? Don't hesitate to like, comment, and share.

Let�s dive into the machine-learning cosmos together!

taplio

The Battle

Chad Angle

Dr Emmanuel Ogungbemi

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The Battle

Chad Angle

Dr Emmanuel Ogungbemi

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Performance Score.css-goub6s{font-size:var(--chakra-fontSizes-md);font-weight:500;color:var(--chakra-colors-gray-600);display:block;margin-top:var(--chakra-space-1);}Chad Angle's LinkedIn Performance

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