Unlock the Potential of Your Big Data Initiatives
Master the key elements of building and managing successful Big Data teams.
This comprehensive, free 109-page e-book equips you with the knowledge and strategies needed to avoid common pitfalls and achieve your Big Data goals.
Why this e-book?
- Expert insights: Gain valuable knowledge from industry experts to navigate the complexities of Big Data.
- Data-driven approach: Learn from real-world examples and practical solutions based on industry research.
- Actionable strategies: Implement proven techniques to build and empower high-performing Big Data teams.
Together, let’s turn the tide on Big Data project failures.
“Only 15 percent of businesses reported deploying their big data project to production, effectively unchanged from last year (14 percent).”
October 4, 2016 Gartner Press Release
My mission is to help organizations avoid Big Data pitfalls and achieve success.
I’m Jesse Anderson, author of this e-book, Managing Director of Big Data Institute, and a seasoned professional with extensive experience in various organizations like Cloudera and Intuit. My expertise has been featured in publications like O’Reilly, The Wall Street Journal, and I frequently speak at top industry conferences.
Over the years, I’ve guided hundreds of organizations and thousands of individuals through the complexities of Big Data, from management teams to technical specialists. This comprehensive understanding allows me to identify key factors that contribute to success and help organizations avoid the common pitfalls that lead to project failure.
Unlock the secrets of Big Data and AI projects - Get your free e-book: "Data Engineering Teams."
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“If you want to know how to steer the Big Data road ahead, ask someone who’s been there. Jesse’s been there and can help get you there, too.”
Andy Hunt
Author, The Pragmatic Programmer, Practices of an Agile Developer, Thinking and Learning: Refactor Your Wetware
Would you like to know what I teach successful organizations to do?
Learn the strategies used by Fortune 100 companies to build and manage high-performing Big Data teams.
In my book, Data Engineering Teams: Creating Successful Big Data Teams and Products, I share the same valuable insights I use to transform underperforming teams and guide startups towards success.
This comprehensive guide equips you with:
- Proven strategies: Implement the same practical approaches used by leading organizations to achieve Big Data success.
- Actionable insights: Gain real-world knowledge and practical tactics to build and empower your data team.
- Clear roadmap: Follow the exact steps used to create effective Big Data solutions.
The book is available in PDF and EPUB formats. Once you sign up in the form below, we’ll send you the links so you can download them and read them. We’ll also give you the extra tools to help you calculate your probability of success.
How to start your data engineering team
We’ve always had teams for managing databases, but with the data management landscape so rapidly evolving – you need to take your data teams to a whole new level. Jesse Anderson is an industry veteran who taught and mentored countless data engineering teams – it is wonderful that he finally decided to put his vast knowledge and experience on paper. Whether you are trying to modernize existing data infrastructure or you are building a brand new team from scratch, this short book has everything you need to get started in the right direction.
“This short book has everything you need to get started in the right direction.”
Gwen Shapira
Software Engineer, Confluent. Author of Kafka the Definitive Guide and Hadoop Application Architectures
Unlock the secrets of Big Data and AI projects - Get your free e-book: "Data Engineering Teams."
You will be subscribed to our mailing list. We hate spam as much as you do. You’ll receive Big Data-related emails from us.
The Skeptic
I’m impressed by the content. I was a bit skeptical when I saw the title, but the content is great. This topic can be boring and depends a lot on the organization. Jesse’s approach is interesting because it’s based on fact and technical skills-oriented, which makes more sense to me.
“I was a bit skeptical when I saw the title, but the content is really great.”
Jean-Baptiste Onofré
Technical Fellow, Talend
Advice from a data science leader
Data Engineering is a topic rich with complexities; Data Engineering Teams distills that detail into manageable pieces. Coming to lead a data science and engineering team from a data science background, it was incredibly helpful to have the data engineering team’s capabilities spelled out in practical detail including how their skillset complements those of data scientists. It has never been more important to attack software development with an iterative process and a learning-oriented mindset. Data Engineering Teams is an invaluable guide whether you are building your first data engineering team or trying to continually improve an established team. Since reading this book, our team members understand each other better and we have already seen improvements in collaboration between data scientists and engineers.
“Data Engineering Teams is an invaluable guide whether you are building your first data engineering team or trying to continually improve an established team.”
Michael Zargham, PhD
Director, Cadent
Advice after 10 years in Big Data
I am working with Hadoop for ten years now and it still surprises me at what entry-level the technology is at the enterprise. Even with just MapReduce, before the dawn of real-time and event processing in Hadoop, the promises were tremendous – yet still many struggles every day to find their application of Big Data. We all know it is a must and that there are great opportunities out there, we read it every day. But why is it so hard to find them, and even harder to get implemented successfully? Jesse has years of experience in the field and knows the issues first hand. I have to commend him for saying it straight up: there is a skills gap that needs to be filled by more than one person. You have to assemble a team that brings together everything that (at least to a basic level) is needed to succeed in implementing Big Data solutions. Please heed his words, they are only too true to be missed! I wish every middle to upper management would read this first.
“I wish every middle to upper management would read this first.”
Lars George
Partner and Co-Founder, OpenCore – Author: HBase – The Definitive Guide
Master the Essentials of Building High-Performing Data Engineering Teams
This comprehensive guide dives deep into the fundamentals of building and managing successful data engineering teams. By delving into key topics, you’ll gain the knowledge and skills to navigate the complexities of Big Data and empower your team to achieve remarkable results.
Building a Strong Foundation:
- Chapter 2: Understanding Big Data: Demystify the unique challenges and complexities of Big Data compared to traditional data management, and how they impact software and data warehousing teams.
- Chapter 3: The Power of Teams: Explore the crucial role of data engineering teams, their essential skills, and how they collaborate effectively with operations and quality assurance teams.
- Chapter 4: Building the Right Team: Learn how to identify and recruit qualified data engineers, ensuring your team possesses the expertise to excel.
Crafting Effective Projects and Pipelines:
- Chapter 5: Data Pipelines Unveiled: Gain a comprehensive understanding of data pipelines, their importance to a data engineering team’s productivity, and strategies to overcome their complexities.
- Chapter 6: The Power of Use Cases: Grasp the significance of well-defined use cases, their detailed development process, and why choosing the right tool for the job is crucial.
Executing for Success:
- Chapter 7: Project Management Mastery: Discover how successful teams break down projects into manageable tasks and implement best practices for efficient execution.
- Chapter 8: Assessing Your Team’s Potential: Learn practical methods to evaluate your team’s readiness for Big Data projects and identify areas for improvement.
By mastering the knowledge and strategies outlined in this book, you can equip your data engineering team with the necessary tools and skills to thrive in the ever-evolving world of Big Data.
Download our free e-book, "Data Engineering Teams: Creating Successful Big Data Teams and Products," to gain the valuable insights and strategies used by Fortune 100 companies.
Unlock the secrets of Big Data and AI projects - Get your free e-book: "Data Engineering Teams."
You will be subscribed to our mailing list. We hate spam as much as you do. You’ll receive Big Data-related emails from us.