Data professionals are confronting the most disruptive 
change since relational databases appeared in the 1980s. SQL is still a 
major tool for data analytics, but conventional relational database 
management systems can’t handle the increasing size and complexity of 
today’s datasets. This updated edition teaches you best practices for 
Greenplum Database, the open source massively parallel processing (MPP) 
database that accommodates large sets of nonrelational and relational 
data.Marshall Presser, field CTO at Pivotal, introduces 
Greenplum’s approach to data analytics and data-driven decisions, 
beginning with its shared-nothing architecture. IT managers, developers,
 data analysts, system architects, and data scientists will all gain 
from exploring data organization and storage, data loading, running 
queries, and learning to perform analytics in the database. Discover how
 MPP and Greenplum will help you go beyond the traditional data 
warehouse.This ebook covers:<ul><li>Greenplum features, use case examples, and techniques for optimizing use</li><li>Four Greenplum deployment options to help you balance security, cost, and time to usability</li><li>Why each networked node in Greenplum’s architecture includes an independent operating system, memory, and storage</li><li>Additional tools for monitoring, managing, securing, and optimizing query responses in the Pivotal Greenplum commercial database</li></ul>

Data Warehousing with Greenplum, Second Edition PDF

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