Get Your Discounted Copy of Data Teams: A Unified Management Model for Successful Data-Focused Teams

I’ve partnered with IIA to give you a 20% discount on my latest book, Data Teams. You can claim your discount by following the instructions below. To learn more about the book, just scroll down. Thanks and enjoy the book.

Get Your Discounted Copy

USE THE PROMO CODE “datateams20”


Basic Instructions:

  1. 1. Go to the Data Teams purchase page on Apress by clicking here.
  2. 2. “Buy” the eBook version and use the “datateams20” promo code above. Using the coupon code, your eBook will receive 20% off.

Step-by-Step Instructions:

  1. 1. Download this PDF with the step-by-step instructions.
  2. 2. In step 2 when you are prompted for the coupon code, use the “datateams20” promo code.

About The Book

Making use of big data is a team sport. It takes several different kinds of people to get things done, and in all but the smallest organizations, they should be organized into multiple teams. When the help from these friends comes together, you can do some awesome things. When you’re missing your friends, you fail and under-perform. Just who are these friends, what should they be doing, and how do they do it? This book answers these questions.

Because of my consulting services, I’ve been able to work with many organizations and industries around the world. I was able to see the patterns and commonalities because I had access to a larger sample of data, and I could experiment on what the best practices should be. As you read the book, realize that every thought and idea isn’t an academic theory. These were all first-hand experiences and hard truths that I learned, sometimes the hard way. I’ll be sharing not just my stories, the story of my company, but the story of all the companies that I’ve worked with.

The book covers many facets of forming data teams: what kinds of skills to look for in staff, how to hire or promote staff, how the teams should interact with each other as well as with the larger organization, and how to recognize and head off problems.

About the author.

Jesse Anderson is a Data Engineer, Creative Engineer, and Managing Director of Big Data Institute.

He works with companies ranging from startups to Fortune 100 companies on Big Data. This includes training on cutting-edge technologies like Apache Kafka, Apache Hadoop, and Apache Spark. He has taught over 30,000 people the skills to become data engineers.

He is widely regarded as an expert in the field and for his novel teaching practices. Jesse is published on O’Reilly and Pragmatic Programmers. He has been covered in prestigious publications such as The Wall Street Journal, CNN, BBC, NPR, Engadget, and Wired.

You can view his blog where he often writes about big data and management topics.