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This book describes the important ideas in a variety of fields such as medicine, biology, finance, and marketing in a common conceptual framework. While the ...
Business Database Systems arms you with the knowledge to analyse, design and implement effective, robust and successful databases. This book is ideal for students of ...
Cowritten by Ralph Kimball, the world's leading data warehousing authority, whose previous books have sold more than 150,000 copies
Delivers real-world solutions for ...
Publisher's Note: Products purchased from Third Party sellers are not guaranteed by the publisher for quality, authenticity, or access to any online entitlements included ...
Services like social networks, web analytics, and intelligent e-commerce often need to manage data at a scale too big for a traditional database. As scale ...
The practice of Test-Driven Development (TDD) has helped thousands of software developers improve quality, agility, productivity, and speed. In Test-Driven Database Development, Max Guernsey, III ...
Learn how to run large-scale, data-intensive workloads with Compute Engine, Google's cloud platform. Written by Google engineers, this tutorial walks you through the details ...
When dealing with big data, traditional databases don't cut it. It's best to use the right tool for the job. HBase is a ...
SQL Server 2016 High Availability Unleashed provides start-to-finish coverage of SQL Server's powerful high availability (HA) solutions for your traditional on-premise databases, cloud-based databases ...
In just 24 sessions of one hour or less, you'll get up and running with the latest SAP technologies, applications, and solutions. Using a ...
Pro Apache Hadoop, Second Edition brings you up to speed on Hadoop - the framework of big data. Revised to cover Hadoop 2.0, the book ...
The go-to guidebook for deploying Big Data solutions with Hadoop Today's enterprise architects need to understand how the Hadoop frameworks and APIs fit together ...
With big data analytics comes big insights into profitability Big data is big business. But having the data and the computational power to process it ...