I lead ReputationDefender, part of Gen Digital, where our mission is simple and bold. We help high profile leaders take control of their digital presence and protect their privacy.

As Managing Director, I am responsible for everything that drives success. That includes product development, marketing, go to market strategy, and overall business performance. I built my career leading global teams through turnarounds and growth, and I believe reputation is now one of the most valuable assets any leader owns.

Our clients include executives, board members, entrepreneurs, family offices, and public figures who operate under constant visibility. They come to us when the margin for error is zero. Every engagement is managed by a dedicated privacy expert supported by advanced technology and guided by a strict ethical code.

ReputationDefender is trusted by the FBI and Fortune 500 leaders and is part of one of the largest cybersecurity companies in the world. We combine human judgment with technical precision to solve complex reputation and privacy challenges with discretion and accountability.

If you are a leader navigating public visibility or preparing for your next stage of growth, connect with me to discuss strategy or schedule a confidential reputation assessment.

Chad Angle

Most people are easing into a long holiday week.
Not the Reputation Defender by Norton team.

We had high-end clients in the office today and the crew showed up sharp, focused, and ready. Reputations don’t take holidays and neither do the people who protect them.

This is the culture I’m proud of at Gen. A team that shows up well and does the work that keeps our clients confident no matter the week on the calendar.

#ReputationDefender #GenDigital #TeamCulture #Leadership #ClientExperience #ReputationManagement

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Reputation Defender by Norton

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

As the graduation photos came in from the Federal Bureau of Investigation (FBI) Citizens Academy, I found myself grateful for the chance to learn from the people who protect and serve our community every day.

This program gives you a true look at how federal teams operate behind the scenes. The people. The mission. The weight they carry every single day. It was humbling to hear directly from the men and women who serve our communities, and it left me with a deeper respect for the work they do and the risks they take.

I am grateful for the instructors who opened the doors, the volunteers who made the program possible, FBI Citizens Academy, FBI Phoenix Citizens Academy Alumni Association, and the classmates who turned it into a meaningful experience.

Serving. Connecting. Empowering.
It is more than a tagline when you see it up close.

#FBI #CommunityEngagement #PublicSafety

Federal Bureau of Investigation (FBI)

FBI Citizens Academy

FBI Phoenix Citizens Academy Alumni Association

The Warner Bros. Discovery bidding process shows where the market is headed.

The next five years in streaming will be shaped by two forces.
Scale and the ability to operationalize IP at a global level.

The companies with distribution engines that can absorb massive libraries will win. The companies that rely only on content will feel the squeeze.

What stands out to me is how differently each bidder benefits.
📺 Netflix gains an immediate expansion of its catalog and more data to fuel personalization.
🎬 Paramount lifts the top end of its library with premium content that strengthens its overall quality.
🌐 Comcast closes the scale gap and builds a more defensible long term position through distribution and reach.

This is less about who wins the deal and more about who can turn a giant library into a revenue machine. That is where the real advantage lives.

#Streaming #MediaStrategy #DigitalTransformation #MergersAndAcquisitions #Leadership #ExecutiveInsights #ContentEconomy

https://lnkd.in/gVJsTQX9

I have seen leaders lose control of their story, not because of what happened, but because of how they reacted.

Calm is not silence. It is control.
And in leadership, composure can be the difference between a crisis and recovery.

Read my latest article: The Power of Calm Leadership

Why keeping your cool is not only emotional intelligence but also reputation management at the highest level The call came five minutes after the vide

The Power of Calm Leadership

I’ve been using NortonNeo for the past few months, and it genuinely changes how you move across the web. The setup is clean, the features are intuitive, and the privacy layer is built the way it should be.

Most people don’t realize how much data exhaust they leave behind every time they search, shop, or even skim headlines. That trail is gold for marketers, algorithm trainers, and bad actors.

Neo flips that dynamic.

It removes the clutter, protects your data, and gives you a cleaner, more private experience without slowing you down.

If you live online the way I do, this is worth a look.
Welcome to a more private web.

#privacy #cybersecurity #ai #digitaltrust #gen

Norton Neo just entered the chat. 💬 It’s the first AI companion browser built to understand how you browse, what you need and where you’re headed. It clears the noise, blocks the ads and protects your data.​

Welcome to a more private web. Download Neo now at https://bit.ly/NeoLaunch

Gen’s predictions for 2025 didn’t just come true. They accelerated. Deepfakes became indistinguishable. Long-abandoned logins were chained together as attack vectors. Financial theft bypassed passwords entirely. And AI began shaping relationships, decisions and emotional behavior before society was ready for it.

At Reputation Defender by Norton, we saw the personal side of this shift. Sextortion driven by real home imagery. Hyper-personalized scams referencing travel, purchases and conversations. Executives impersonated through AI voice and video. Families blindsided by deepfake financial fraud. The threat is no longer technical. It is human.

This is the part that should make every leader pay attention. Cybercrime is no longer about breaking into systems. It is about breaking into people.

2026 requires a different mindset. Identity protection, reputational security and proactive digital hygiene are no longer optional. They are becoming frontline defenses for individuals, families and institutions that cannot afford a single moment of compromised trust.

Strong work from the Gen teams driving this forward. The next chapter is building the instincts and tools people need to stay ahead of an adversary that is evolving faster than ever.

#DigitalIdentity #ReputationSecurity #AIThreats #CyberRisk #DeepfakeFraud #ExecutiveSecurity #FinancialFraud
#FutureOfSecurity

2025 Predictions vs. Reality

Last year, we said 2025 would be a turning point in cybersecurity. We were right, but the reality came faster than anyone expected.​
✅ AI blurred the line between real and fake.​
✅ Scams felt personal.​
✅  Forgotten accounts became attackers’ favorite new toys.​
✅  Financial fraud hit a whole new level.​

We just dropped a full recap of what really unfolded, and it’s the
perfect setup for what’s coming next.​ 🔍 Read the “2025 Predictions Look Back”​ https://lnkd.in/gm7W4pfB And watch this space … our 2026 predictions are coming soon.​🔮

Honoring Those Who Serve and Continue to Lead

Every Veterans Day I’m reminded that service does not end when the uniform comes off. The same values that define our veterans such as discipline, teamwork, and courage under pressure are the same ones that drive great leadership in business and life.

To all who have served and continue to protect the freedoms we build our lives and companies upon, thank you. Your example makes us better leaders, neighbors, and citizens.

#VeteransDay #Leadership #Service #Respect

The chart doesn’t lie. Phishing is still one of the fastest ways to lose your identity, your money, or your reputation. The gap in performance here is hard to ignore.

Proud of the Gen teams building protection that shows up when it matters most.

 #TeamGen

Managing Director at ReputationDefender | Executive Privacy and Reputation Expert | Revenue and Operations Leader

Phishing and scams are now a constant part of everyday life. Last year alone, we blocked roughly 82 million phishing attempts. Every one of those attempts was designed to exploit our customers' trust, emotions, or urgency.

Protecting people from this kind of deception is at the heart of how our Gen Lab builds our threat detection platform and our products. Phishing is one of the most common and damaging threats our customers face, which is why we focus so heavily on proactively stopping them.

We are proud to share that AV-Comparatives has ranked both Norton and Avast as the top performers in their latest Phishing Comparative Test. This recognition reflects our ongoing commitment to keeping people safe, informed, and protected.

See the full results here: https://lnkd.in/gCB-_SV2

Anti Phisiing COmparatives

Managing Your Reputation in a Digital World

Even the most confident executives face a growing challenge today: managing their online reputation.

It’s no longer just about bad reviews or negative articles.
It’s about controlling your digital narrative before someone else does.

The biggest obstacle?
Speed and volume.
One post, one misstep, can spiral in minutes.

The next challenge is balance.
How much transparency builds trust, and how much privacy keeps you safe?

And then there’s complexity.
Multiple platforms, blurred policies, and constant legal noise make reputation management feel like a full-time job.

So how do you stay ahead?

✅ Proactive monitoring — Track your digital footprint before others do.
✅ Strategic content — Publish credible, consistent material that reinforces your brand.
✅ Fast response — Address issues immediately and lead with transparency.

And when in doubt, get help.
Reputation management is no longer a side project. It’s a strategic investment in leadership and trust.

Protecting your reputation isn’t about damage control.
It’s about building resilience that supports your credibility, career, and legacy.

What’s your take?
How are you protecting your digital footprint today?

#ReputationManagement #Leadership #DigitalTrust #CrisisManagement

The New Role of PR

Public relations used to be about headlines.
Today, it’s about Google results.

A statement may last 24 hours in the news, but it can live for years online.
That means PR and SEO teams need to work side by side.

PR drives the message.
Search determines what survives.

Modern reputation work blends storytelling with search strategy.
Visibility is the new front page.

#PR #ReputationManagement #DigitalTrust

What Crisis Work Teaches About Leadership

When a client is in crisis, emotions run high, facts blur, and time shrinks.

In those moments, leadership isn’t about having every answer. It’s about asking the right question first: “What outcome are we protecting?”

The best leaders simplify. They calm the noise, clarify purpose, and move fast on what matters most.

It’s never comfortable, but crisis work has a way of revealing who can truly lead under pressure.

#Leadership #CrisisManagement #DecisionMaking

Cybersecurity Protects Systems. Privacy Protects People.

Boards love to talk about firewalls, audits, and encryption. Those are vital. But none of them stop a criminal from impersonating an executive’s spouse online.

Technical defense keeps companies safe. Personal defense keeps leadership credible. Both are required.

The next phase of security is human-centric. Teach executives, families, and staff how exposure happens, and you reduce both cyber and reputation risk at once.

#Cybersecurity #ExecutiveProtection #Privacy

🌿 The best privacy strategy sometimes starts with airplane mode.

Reputation is not built only in boardrooms. It is built in the quiet spaces where you reset.

Time with family. Time offline. Time to think.

Digital safety begins with mental clarity.

💬 Protect your data. Protect your peace.

Goldman Sachs’s M&A Run: Market Signal or Market Mirage?

📈 Goldman is putting up numbers we have not seen in more than two decades. Thirty four percent of global deal volume in a single year. More than one hundred million dollars in advisory fees. Record share across the largest transactions in the world.

But here is the real question the industry is debating.

Is this a healthy rebound in corporate confidence, or a period of consolidation that only the largest institutions can access?

On one hand, stabilizing rates, pent up private equity capital, and boardroom pressure for growth are finally pushing big deals off the sidelines. That flow naturally favors a global advisory house with deep relationships. 🏦

On the other hand, if the market relies on a small group of banks to set the pace, the mid market and emerging growth segments may not feel the lift until much later in the cycle. 📉

What Goldman is proving is simple. In uncertain environments, trust, scale, and cross border coverage win the first wave of activity. Everyone else waits for the downstream lift.

The bigger question is what this sets up for 2025 and 2026. If mega cap M&A is the opening act, we could be heading into a very different deal environment than the one we have lived in since 2022. 🔍

How are you reading this surge? Early cycle strength or a top heavy rebound?

#MergersAndAcquisitions #Finance #InvestmentBanking #CorporateStrategy #DealFlow #WallStreet #CapitalMarkets #PrivateEquity

goldmansachs.com

IPOs & M&A

Goldman Sachs

The biggest threat from AI isn’t deepfakes. It’s deep belief.

People will believe what looks convincing long before they verify what’s true.
That’s why misinformation spreads faster than facts.

AI isn’t the enemy. Indifference is.
If you lead in the digital era, your reputation depends on how fast you can correct false narratives before they harden into “truth.”

💭 Your name will travel faster than your explanation. Stay ahead of it.

Lies move at the speed of a click. Truth takes the stairs.

I’ve watched smart, credible people lose control of their story because they waited too long to respond.
In today’s world, silence reads like admission.

The solution isn’t overreacting. It’s staying ready.
Every leader should have a plan for how to respond when AI or rumor distorts their story.

🧠 The faster you clarify, the slower misinformation spreads.

Why Every Law Firm Needs a Digital Evidence Strategy

Courts move on filings. The internet moves on clicks.

Digital exhibits, archived screenshots, and metadata now carry as much weight as testimony. Yet many firms still treat them as afterthoughts.

If your litigation plan doesn’t include search visibility analysis and content archiving, you’re leaving credibility unguarded.

Reputation evidence is now case evidence. Collect it early, preserve it completely, and present it with confidence.

#LegalTech #Defamation #DigitalForensics

The New Crisis Curve

In a world that never logs off, every brand and executive lives one click away from a headline.

The question isn’t if a crisis will hit.
It’s how ready you are when it does.

The new reality?
Crises move faster than your approval chain.
What used to take a week to break now trends in an hour.

Preparation looks different today:
✅ Clear ownership for who speaks and when
✅ Pre-approved language for likely scenarios
✅ A monitoring system that sees issues before the public does

A digital crisis isn’t managed in the moment.
It’s managed in the months before it happens.

Speed builds trust.
Silence breaks it.

#CrisisManagement #Leadership #DigitalTrust #PRStrategy

Working with great CFOs pushes you to bring real data, clear business cases, and measurable impact. The best ones also do something rare: they make the complex feel simple.

This article is a perfect example of that. Natalie Derse breaks down a complicated shift in AI-driven fraud in a way that every operator, not just finance, can understand.

Her clarity on where the pressure is building and how Gen’s strategy meets that moment is worth the read for any leader navigating AI, risk, or consumer trust.

#FinanceIsFun when you have a leader who brings that level of clarity.

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CFO, Gen

Excited to share my recent conversation with Forbes reporter Megan Poinski about Gen's long-term strategy and how we’re building a broader, more resilient business for the future. 
 
At Gen, we’ve spent the past years redefining what it means to protect people online, moving from traditional AV to a full Cyber Safety platform, and now expanding into Secure Financial Wellness with the acquisition of MoneyLion. This strategy isn’t about chasing trends, it’s about meeting consumers where they are and anticipating what they’ll need next as the digital world becomes more interconnected. 
 
Disciplined capital allocation, thoughtful M&A, and a commitment to delivering value for both customers and shareholders will continue guiding our approach. 
 
Thanks to Megan for the thoughtful discussion. You can read the full conversation here: 
https://lnkd.in/gyfAJSdh

🌿 The smartest thing you can do in the age of AI is act more human.

Empathy. Judgment. Calm.
Those are the traits that algorithms cannot copy.

Every leader who forgets that ends up sounding automated long before they use AI.

💬 People remember how you made them feel, not how efficient you sounded.

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 comprehensive resource: Machine Learning, Deep Learning, and Artificial Intelligence Cheat Sheets compiled by Nikhil Yadav from Stanford University and MIT!

This collection of cheat sheets covers key concepts and techniques across machine learning, deep learning, and AI. 

Perfect for students, professionals, and enthusiasts, this document provides quick references and summaries of essential topics in these fields.

Key topics include:
- Probability and Statistics fundamentals
- Supervised and Unsupervised Learning algorithms
- Linear and Logistic Regression
- Support Vector Machines (SVM) and Generative Learning
- Tree-based and Ensemble Methods
- Principal Component Analysis (PCA) and other dimension reduction techniques
- Neural Networks, Convolutional Neural Networks (CNNs), and Recurrent Neural Networks (RNNs)
- Reinforcement Learning and Control
- Essential metrics for model evaluation and selection
- Tips and tricks for effective machine learning practice


Enhance your understanding and mastery of machine learning, deep learning, and AI with these detailed cheat sheets!

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- Add your comment!

Talks about #data, #kindness, #interviewtips, #selfimprovement, and #careertransition

ML, Deep Learning and AI Cheat Sheet

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

I'm excited to share an invaluable resource: the Data Engineer Interview Guide by Simplilearn!

Preparing for a data engineering interview can be daunting, but this comprehensive guide has got you covered. 

Whether you are a fresh graduate or an experienced professional, this document provides a detailed overview of the key questions and answers you can expect in a data engineering interview.

Key topics include:
- Understanding the role and responsibilities of a data engineer
- Differences between data engineers and data scientists
- Key skills required for data engineering, including SQL, Hadoop, and Python
- Essential frameworks and applications for data engineers
- Commonly asked interview questions and how to answer them
- Practical tips for handling job-related crises and real-world scenarios
- Insights into data modelling, ETL processes, and working with big data in cloud environments


Enhance your interview preparation and stand out from the competition with this detailed guide!

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Data Engineering Intro

Excited to share an essential resource: DAX Query Plans by Alberto Ferrari!

This comprehensive paper introduces the performance analysis and optimization of DAX code through the use of DAX query plans. 

Ideal for BI professionals and data analysts, this document provides valuable insights into improving query performance by understanding and optimizing DAX queries.

Key topics include:
- Finding and interpreting DAX query plans
- Differences between logical and physical query plans
- Overview of the formula engine and storage engine
- Basic optimization techniques for DAX queries
- Practical examples using the Contoso and AdventureWorks databases


Enhance your DAX skills and improve query performance with this detailed guide!

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DAX Query Plans

Why data engineers are like the unsung heroes of the tech world – and why you should become one.

Ever wondered what makes the tech world tick?

It’s not just the flashy apps or cutting-edge AI.
It’s the data engineers behind the scenes, making everything work smoothly.

Here’s why they’re the real MVPs:

1. Foundation Builders

Data engineers lay the groundwork for any data-driven project.

Without them, data scientists and analysts would be flying blind.

They create robust data pipelines that ensure seamless data flow – the backbone of every tech solution.

2. Problem Solvers

Every day brings a new challenge.

From fragmented data sources to integrating complex systems, data engineers thrive on solving intricate puzzles.

Their work is crucial for turning raw data into actionable insights.

3. Innovation Enablers

The world’s first AI system for air traffic control?

That’s just one example.

Data engineers make groundbreaking innovations possible by ensuring data is clean, reliable, and ready for analysis.

4. Guardians of Data Integrity

Data is valuable, but only if it’s accurate.

Data engineers ensure quality and consistency, protecting organisations from costly errors.

They’re the gatekeepers of trustworthy data.

5. Educators and Mentors

Building the future doesn’t stop at technology.

Data engineers also shape the next generation of tech talent, sharing their knowledge and experience with aspiring professionals.

So, why should you consider becoming a data engineer?
→ It’s a role that combines creativity and technical skill.
→ There’s an evergrowing demand for data-driven solutions.
→ You’ll be at the forefront of innovation, where every project is an opportunity to make a significant impact.

Join the ranks of these unsung heroes and be part of a community that drives the tech world forward.

Are you ready to build the future?

Let’s discuss why data engineering should be your next step.

Drop a comment below to share your thoughts or ask questions about this exciting field.

Excited to share an essential resource: DevOps Interview Questions!

This comprehensive guide covers a wide range of questions that are commonly asked in DevOps interviews. 

Whether you're a beginner or an experienced professional, this document provides valuable insights and answers to help you ace your interview and enhance your DevOps knowledge.

Key topics include:
- Understanding DevOps and its need in the industry
- Top DevOps tools and their uses
- Differences between DevOps and Agile/SDLC
- Core benefits and advantages of DevOps
- Key performance indicators (KPIs) for gauging DevOps success
- Role of configuration management and popular tools like Ansible
- Concepts like "Shift left to reduce failure," Blue/Green Deployment, and more
- In-depth look at DevOps methodologies and real-life use cases
- Detailed explanations of tools like Docker, Kubernetes, Jenkins, and AWS


Enhance your interview preparation and stay ahead in the competitive DevOps field with this detailed guide!

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DevOps Interview Questions

The real secret to becoming a data professional isn't technical skills—it's storytelling.

Here's how narrative trumps numbers.

When I first entered the world of data, I was captivated by the endless possibilities that numbers could unlock.

But soon, I realised something crucial: data alone doesn't speak.

It's the story you weave around it that truly makes an impact.

Let me explain how you can harness the power of storytelling in data:

1. Understand Your Audience
  ↳ Tailor your narrative to resonate with the specific needs and interests of your audience.
  Whether you're speaking to executives or data enthusiasts, adjust your story accordingly.

2. Find the Human Element
  ↳ Data is ultimately about people.
  By highlighting the human impact, you make your insights relatable and actionable.

3. Create a Compelling Narrative Arc
  ↳ Like any good story, your data-driven narrative should have a clear beginning, middle, and end.
  Start with the problem, introduce the data, and conclude with actionable insights.

4. Simplify Complex Data
  ↳ Great storytelling involves breaking down complex data into understandable and engaging segments.
  Use visuals and analogies to make your points clear.

5. Inspire Action
  ↳ Your story should lead to a call to action, encouraging your audience to make informed decisions based on your insights.
  
Remember, data storytelling isn't just about presenting facts—it's about driving change.

By mastering the art of storytelling in data, you transform from a mere analyst to an influential data storyteller.

And the best part?

Anyone can learn this skill.

So, are you ready to craft stories that drive data-driven decisions?

Start weaving your narrative today.

Data degrees are great, but here’s why data engineering skills might just be the game-changer you need.

In a world overflowing with data, what’s the biggest challenge?

Turning it into something valuable.

That’s where a data engineer steps in.

Here’s why mastering data engineering skills can outshine a traditional data science degree in today’s job market:

1. Demand for Data Engineers is Soaring

→ Companies need robust data pipelines and clean data before they can even start analysing.

↳ Without data engineers, data scientists can’t do their jobs effectively.

2. HandsOn Problem Solving

→ Data engineering focuses on building and optimising data systems.

↳ You’ll deal with realworld data challenges and provide solutions that have immediate impacts.

3. Versatile Skill Set

→ From coding and database management to understanding cloud services, data engineering equips you with a wide array of skills.

↳ It’s about the whole data ecosystem, not just analysis.

4. Foundation for Advanced Data Exploration

→ Before models can be trained, data must be prepped and organised.

↳ This means your work sets the stage for any advanced data science application.

5. Bridge the Gap Between Theory and Practice

→ While data science often leans towards theoretical aspects, engineering is grounded in practical application.

↳ You’re not just predicting the future; you’re building the road to it.

6. CostEffective Learning

→ You can learn data engineering through online courses, handson projects, and bootcamps.

↳ No need for a hefty degree investment.

7. Innovation at the Core

→ Data engineers are the architects of the digital age, creating systems that allow companies to innovate and grow.

↳ You’re paving the way for future technologies.

So, if you’re weighing options between a degree and diving into data engineering, consider what aligns with the current industry needs.

The world needs more data engineers.

Are you ready to be one?

Engage with me in the comments if you’re considering a career shift or just starting out in data engineering.

What’s your next step?

Excited to share an insightful resource: MLlib: Scalable Machine Learning on Spark by Xiangrui Meng and collaborators!

This comprehensive guide explores the powerful capabilities of MLlib, Spark's scalable machine learning library.

It covers everything from basic algorithms to advanced machine learning techniques, making it an essential resource for data scientists and engineers looking to leverage Spark for large-scale data processing and analysis.

Key topics include:
- Overview of MLlib and its integration with Apache Spark
- Machine learning algorithms: classification, regression, clustering, and collaborative filtering
- Practical examples and implementations of logistic regression, k-means clustering, and ALS
- Performance comparisons and scaling properties of MLlib
- New features and updates in MLlib v1.x
- Integration with other Spark components like Spark SQL, Streaming, and GraphX


Unlock the full potential of machine learning with MLlib on Spark and take your data projects to the next level!

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Why I believe the future of data engineering lies not in new tech but in teaching empathy and communication.

I started in data engineering with the belief that the latest tech would solve every problem.

That mindset shifted.

Here's why: it's not just about the tools.

It's about understanding the humans behind the data.

In my journey from data analyst to data engineering leader, I've learned that the hardest problems aren't technical.

They're human.

When I was tasked with transforming raw data into insights, I quickly realised that many organisations were drowning in fragmented data.

Not because they lacked technology, but because they lacked communication.

→ Data was siloed.

→ Teams didn't talk to each other.

→ Processes were inefficient.

So I focused on:

1. Building Bridges: I brought together diverse teams, ensuring everyone understood the data's value and purpose.

2. Teaching Empathy: I encouraged my team to see data not just as numbers but as stories with human impact.

3. Enhancing Communication: I led efforts to develop clear channels and languages for data discussions, making complex insights accessible to all.

It wasn’t just about algorithms.

It was about collaboration.

About understanding the fears and hopes of those who rely on the system.

When we embrace empathy and communication, we transform data from a static resource into a dynamic force for change.

We give it life.

The future of data engineering won't be about the flashiest tools.

It will be about the human touch.

So here's my challenge to you:

Focus on the human side of data.

Ask more questions.

Listen more.

Let's build a future where data brings us together, not keeps us apart.

What do you think?

How can we make data engineering more human?

Share your thoughts below.

I was once told that learning Python was the key to unlocking a career in data.

But here's the truth: It's not just about the language.

It's about developing an analytical mindset.

When I transitioned from being a data analyst to a data engineer, I realised the importance of how I approached problems, not just the tools I used.

Here's why:
Understanding Context: Before diving into coding, understanding the problem is crucial.

What are you trying to solve?

What data do you need?

The ability to ask the right questions is far more valuable than knowing syntax.
Critical Thinking Over Code: Coding is a means to an end.

The real skill lies in analysing data and drawing meaningful conclusions.

Can you see patterns others miss?

Can you make sense of the chaos?
Data Literacy: It's not about how many programming languages you know.

It's about understanding data itself.

How do you clean it?

How do you ensure it's reliable?
Communication: Data insights are useless if they can't be communicated.

Can you translate complex data into simple narratives?

Can you make stakeholders understand the impact?
Adaptability: The world of data is ever-evolving.

New tools, new methods, new challenges.

Being open to learning and adapting is key.

So, if you're thinking of diving into data, remember this:

→ It's not just about Python or any other tool.

↳ It's about fostering an analytical mindset.

And that mindset is what will truly set you apart in the world of data.

What do you think?

Are you ready to start thinking differently?

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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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Performance ScoreChad Angle's LinkedIn Performance