u003cpu003eThe 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. You'll learn what a data lake is, why enterprises need one, and how to build one successfully with the best practices in this book.u003c/pu003e u003cpu003eAlex 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, you'll examine data lake initiatives, analytic projects, experiences, and best practices from data experts working in various industries.u003c/pu003e u003culu003e u003cliu003eGet a succinct introduction to data warehousing, big data, and data scienceu003c/liu003e u003cliu003eLearn various paths enterprises take to build a data lakeu003c/liu003e u003cliu003eExplore how to build a self-service model and best practices for providing analysts access to the datau003c/liu003e u003cliu003eUse different methods for architecting your data lakeu003c/liu003e u003cliu003eDiscover ways to implement a data lake from experts in different industriesu003c/liu003e u003c/ulu003e