lt;pgt;This course is part of a collection called amp;#39;lt;a href="https://www.qa.com/AMWSMDAS"gt;Building Modern Data Analytics Solutions on AWSlt;/agt;amp;#39;, which consists of 4 courses. You have the option to book any of the individual [...]
  • AMWSBDAS-QA
  • Price on request

lt;pgt;This course is part of a collection called amp;#39;lt;a href="https://www.qa.com/AMWSMDAS"gt;Building Modern Data Analytics Solutions on AWSlt;/agt;amp;#39;, which consists of 4 courses. You have the option to book any of the individual courses separately. If you prefer to attend all 4 courses, you can book the combined course called lt;a href="https://www.qa.com/AMWSMDAS"gt;Building Modern Data Analytics Solutions on AWSlt;/agt;.lt;/pgt;lt;h3gt;Overviewlt;/h3gt;lt;pgt;In this course, you will learn to build batch data analytics solutions using Amazon EMR, an enterprise-grade Apache Spark and Apache Hadoop managed service. You will learn how Amazon EMR integrates with open-source projects such as Apache Hive, Hue, and HBase, and with AWS services such as AWS Glue and AWS Lake Formation. The course addresses data collection, ingestion, cataloging, storage, and processing components in the context of Spark and Hadoop. You will learn to use EMR Notebooks to support both analytics and machine learning workloads. You will also learn to apply security, performance, and cost management best practices to the operation of Amazon EMRlt;/pgt;

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