BI and Analytics on a Data Lake:

The Definitive Guide

Preface

Much of the history of computing and information technology has been less than glamorous, often comprised of “business plumbing” work like payroll, HR, data storage, and the like. Then along came analytics and business intelligence (BI), precipitating a collective “A-ha!” moment that reverberated from IT right through the C-suite. Here was a set of truly business-first technologies and solutions capable of optimizing decision-making to lower costs, speed time-to-market, and drive real competitive advantage, among other vital benefits.

Now BI and analytics are being paired with the latest IT phenomena, big data. The impact of this union promises to be a disruptive game-changer, both for business and IT. The reason is simple. Somewhere in the area of 75% of data available to the enterprise today goes unused. This data holds the keys to a deeper, richer understanding of customers, competitors, markets, and trends.

The distinction of use cases

This book is intended to discuss BI and analytics in a capacity where the business is not yet leveraging a big data platform to build new applications to serve business needs. It is rather common for people to build brand new applications directly atop a Converged Data Platform. There are many benefits from the application development side of the house.

As new applications are built on this platform, new analytics can be applied. This brings an inherent benefit of not having to move the data between the system of record and the platform for which analytics are performed as they are one in the same. While legacy systems are still in place, coexistence is a very happy place to be, and that is the major focus of this book.