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Practical Hive: A Guide to Hadoop's Data Warehouse System
Dive into the world of SQL on Hadoop and get the most out of your Hive data warehouses. This book is your go-to resource for using Hive: authors Scott Shaw, Ankur Gupta, David Kjerrumgaard, and Andreas Francois Vermeulen take you through learning HiveQL, the SQL-like language specific to Hive, to analyze, export, and massage the data stored... | | Programming Hive
Programming Hive introduces Hive, an essential tool in the Hadoop ecosystem that
provides an SQL (Structured Query Language) dialect for querying data stored in the
Hadoop Distributed Filesystem (HDFS), other filesystems that integrate with Hadoop,
such as MapR-FS and Amazon’s S3 and databases like HBase (the ... | | Spring Data
The data access landscape over the past seven or so years has changed dramatically.
Relational databases, the heart of storing and processing data in the enterprise for over
30 years, are no longer the only game in town. The past seven years have seen the birth
—and in some cases the death—of many ... |
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Big Data Analytics with Microsoft HDInsight in 24 Hours, Sams Teach Yourself
With Microsoft HDInsight, business professionals and data analysts can rapidly leverage the power of Hadoop on a flexible, scalable cloud-based platform, using Microsoft's accessible business intelligence, visualization, and productivity tools. Now, in just 24 lessons of one hour or less, you can learn all the skills and... | | | | Kubernetes Microservices with Docker
Start using Kubernetes in complex big data and enterprise applications, including Docker containers. Starting with installing Kubernetes on a single node, the book introduces Kubernetes with a simple Hello example and discusses using environment variables in Kubernetes.
Next, Kubernetes Microservices with... |
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