Become thoroughly familiar with the techniques for building and using big data structures for OLAP on the Hadoop platform.
Developed by eBay Inc., Apache Kylin is a free software distributed analytics engine that supports multi-dimensional assessment (OLAP) on Hadoop and supports extremely large sets of data. Apache Kylin: Implementing OLAP on the Hadoop platform online certification is designed by Michael Enudi - Certified Instructor and is delivered by Udemy which is targetted at applicants who want to master the concepts and strategies related to the implementation of online analytical processing on the Hadoop platform using the functionalities of Apache Kylin.
Apache Kylin: Implementing OLAP on the Hadoop platform online training is a 6-hour education program accompanied by articles and case studies that will teach participants how to create and use Apache Kylin to query big data OLAP cubes. Apache Kylin: Implementing OLAP on the Hadoop platform online classes revolve around topics such as data streaming and big data analytics, as well as techniques for writing sophisticated aggregation queries of large datasets with low latency reaction times.
Yes
Udemy
After completing the Apache Kylin: Implementing OLAP on the Hadoop platform certification course, applicants will be introduced to the principles and concepts involved with Apache Kylin for implementing OLAP on Hadoop. In this Apache Kylin certification, applicants will explore the concepts involved with big data including data streaming and big data analytics as well as will acquire the knowledge of the functionalities of tools like Zeppelin. In this Apache Kylin, applicants will learn about methodologies involved with cube structure, query routing, and analytical queries as well as will acquire the knowledge of the strategies involved with Kylin client integration, JDBC integration, ODBC integration, and REST API integration.
Mr Michael Enudi Big Data Tech Specialist Freelancer
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