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The data lake is a daring new approach for harnessing the power of big data technology and providing convenient self-service capabilities. But is it right for your company? This book is based on discussions with practitioners and executives from more than a hundred organizations, ranging from data-driven companies such as Google, LinkedIn, and Facebook, to governments and traditional corporate enterprises. Youโll learn what a data lake is, why enterprises need one, and how to build one successfully with the best practices in this book. Alex Gorelik, CTO and founder of Waterline Data, explains why old systems and processes can no longer support data needs in the enterprise. Then, in a collection of essays about data lake implementation, youโll examine data lake initiatives, analytic projects, experiences, and best practices from data experts working in various industries. Get a succinct introduction to data warehousing, big data, and data science Learn various paths enterprises take to build a data lake Explore how to build a self-service model and best practices for providing analysts access to the data Use different methods for architecting your data lake Discover ways to implement a data lake from experts in different industries Review: Best practices for data lakes - This is a great read for anyone either planning on building a data lake for the first time or struggling to derive value from a data lake thatโs already been implemented. The author provides an overview of the benefits of a data lake (in addition to relevant terminology) but then wastes no time discussing all that must go into the planning, implementation and management phases to ensure your data lake is a success. He spends a great deal of time talking about self-service business intelligence, which is the Holy Grail for any enterprise that wants to more effectively compete as a data-driven organization. Alex is truly a data visionary, and the book clearly benefits from his impressive background. But what I really liked was that he also tapped other industry experts (with their own impressive backgrounds) to offer up their various views and experience. What the reader walks away with is a compendium of best practices that will take your understanding of data lakes to the next level. Review: A Must Read in Big Data and Data Science - Bravo! This book was an excellent read. The author has a very simple and easy to understand style, which means this book can be read by just about anyone at any level. In addition to introducing the reader to data warehousing, big data and data science, the book provides all the various options enterprises can choose from to build the data lake thatโs right for their business. Most laudable: no matter how deep Gorelik dives into this highly technical world, he always maps it back to the ultimate goalโto render data usable to just about any user regardless of their technical acumen. This is what the democratization of data in the enterprise is all about, and I commend Mr. Gorelik for not losing sight of this.















| Best Sellers Rank | #1,115,816 in Books ( See Top 100 in Books ) #317 in Data Modeling & Design (Books) #359 in Data Mining (Books) #541 in Data Processing |
| Customer Reviews | 4.5 out of 5 stars 91 Reviews |
R**E
Best practices for data lakes
This is a great read for anyone either planning on building a data lake for the first time or struggling to derive value from a data lake thatโs already been implemented. The author provides an overview of the benefits of a data lake (in addition to relevant terminology) but then wastes no time discussing all that must go into the planning, implementation and management phases to ensure your data lake is a success. He spends a great deal of time talking about self-service business intelligence, which is the Holy Grail for any enterprise that wants to more effectively compete as a data-driven organization. Alex is truly a data visionary, and the book clearly benefits from his impressive background. But what I really liked was that he also tapped other industry experts (with their own impressive backgrounds) to offer up their various views and experience. What the reader walks away with is a compendium of best practices that will take your understanding of data lakes to the next level.
S**E
A Must Read in Big Data and Data Science
Bravo! This book was an excellent read. The author has a very simple and easy to understand style, which means this book can be read by just about anyone at any level. In addition to introducing the reader to data warehousing, big data and data science, the book provides all the various options enterprises can choose from to build the data lake thatโs right for their business. Most laudable: no matter how deep Gorelik dives into this highly technical world, he always maps it back to the ultimate goalโto render data usable to just about any user regardless of their technical acumen. This is what the democratization of data in the enterprise is all about, and I commend Mr. Gorelik for not losing sight of this.
R**E
A very useful reference for approaching data lake management
At work, I needed some guidance on how to "design" data lakes and approach them as projects where business, people and security are involved - and not only talking about technical frameworks. This book does just that. It puts the many technical bricks and otherwise organizational and managerial challenges in context, all while tying it all to real-world implementation examples. For my consulting gigs, where I do have to offer solutions dor data lake governance, the information in this book proved to be so useful !
G**N
Big Data Concepts
The author does an excellent job in explaining approaches to big data. I am new to this field and this book was very helpful. It is clear, concise and easy to understand by someone like me who is unfamiliar and new to the field. Very good book.
J**N
Great overview of Big Data
This book does a very good job of outlining thoughts and approaches to big data. As someone unfamiliar with this area of technology, the book was extremely useful. It gave me a window into the space and an overall understanding of how to conceptualize and ultimately control big data within an organization. And, it wasn't too long or chewy!
A**S
Great read in the Big Data world
This book will help you understand how to be successful in the Big Data/AI-Driven age. Many specific hints regarding organizing and prepping data across the Enterprise. Easy to read and deep at the same time.
M**H
Ok read
OK, read not enough detail. Somewhat rudimentary it felt like they cover the data warehouse world as intro, but don't deliver on data lakes very much content.
R**D
A pragmatic approach to data-driven decision-making
Very helpful as a big data practitioner.
W**U
recommend
Recommend for anyone who wants to discover how to build a data lake and how to do efficient governance over data lake.
O**R
Excelente produto e entrega
Muito bom e entregue em tempo hรกbil.
J**D
Disappointed
I have a background in Data Warehousing, data modelling and I wanted to deep dive into data lakes. But honestly, as a person who expects technical knowledge I was frustrated. This book is clearly overpriced. It doesn't deserve the price on it. Could have been easily 50 pages of book if author would've removed essays, articles referred from other resources as well as removing repetition. If you are technical person who wants to deep dive I don't recommend. Even for high level information you could get better knowledge from the internet for less expensive price. If you are a manager you probably would gain some high-level knowledge, but again price of the book doesn't deserve it.
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