Enterprise Data Design Patterns: Best Practices for Putting Hadoop to Work
| Author | : | |
| Rating | : | 4.29 (603 Votes) |
| Asin | : | 149192375X |
| Format Type | : | paperback |
| Number of Pages | : | 150 Pages |
| Publish Date | : | 2014-03-02 |
| Language | : | English |
DESCRIPTION:
Today's databases can handle velocity, variety, and volume well beyond the traditional data warehouse, but the problems and architectures to handle them are not yet well-established. Drawing on years of experience in a wide variety of industries, Douglas Moore and Jeffrey Breen identify common big data patterns and guide users through solving tough problems that are well defined in the more traditional data warehouse space.This book is an essential resource as you plan for the entire data lifecycle, from data ingest, processing and enhancement, to publication, avoiding pitfalls and dead-ends and future-proofing your data storage and analysis.With an eye on the big picture of data analysis and the end goal of access and actionable intelligence, Moore and Breen cover all types of data—across the spectrum from batch to realtime, and the varieties of structured and unstructured data sources—in both general terms and the problems and potential pitfalls specific to each type.
Principal Consultant at Think Big, he delivers tech assessments, roadmaps, and applications utilizing a wide range of data tools.. About the AuthorDouglas Moore has been at the forefront of big data for more than twenty years, engineering and architecting systems for energy, finance, and other data-intensive applications
Principal Consultant at Think Big, he delivers tech assessments, roadmaps, and applications utilizing a wide range of data tools.. Douglas Moore has been at the forefront of big data for more than twenty years, engineering and architecting systems for energy, finance, and other data-intensive applications