Catalog Search Results
Author
Pub. Date
[2017]
Language
English
Description
"Building near real-time analytical applications that combine real-time data inserts, updates, and fast analytics is almost impossible with any single Hadoop storage technology. The introduction of Apache Kudu and the 'KIKS' stack breaks through this barrier, making it possible to build near real-time analytical applications that are simple, fast, and reliable. In this course, designed for developers, architects, and engineers with some experience...
Author
Pub. Date
[2017]
Language
English
Description
"Apache Kudu is an entirely new storage manager for the Hadoop ecosystem. It addresses many of the most difficult architectural issues in Big Data, including the Hadoop "storage gap" problem common when building near real-time analytical applications. This vexing issue has prevented many applications from transitioning to Hadoop-based architectures. In this course, you'll learn why Kudu exists, when to use it, the key concepts of Kudu's design, and...
Author
Pub. Date
[2017]
Language
English
Description
"Apache Kudu, the breakthrough storage technology, is often used in conjunction with other Hadoop ecosystem frameworks for data ingest, processing, and analysis. This is a practical, hands-on course that shows you how Kudu works with four of those frameworks: Apache Spark, Spark SQL, MLlib, and Apache Flume. You'll use the Kudu-Spark module with Spark and SparkSQL to seamlessly create, move, and update data between Kudu and Spark; then use Apache...
Author
Pub. Date
[2017]
Language
English
Description
"Apache Kudu is a required skill in the Big Data world because it addresses problems that are difficult or impossible to implement on current generation Hadoop storage technologies. Big data developers, architects, and engineers looking to add this skill can do so with this easy to understand hands-on exploration of Kudu's basics. The course shows you how to install the Kudu quickstart and set up an environment, explains the essentials of Kudu data...
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