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Packt - Master Big Data Ingestion And Analytics With Flume, Sqoop, Hive And Spark
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[ FreeCourseWeb.com ] Master Big Data Ingestion and Analytics with Flume, Sqoop, Hive and Spark
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Duration: 5H 40M | Video: h264 1280x720 | Audio: AAC 48kHz 2Ch | MB Genre: eLearning | Language: English | July 2019 Complete course on Sqoop, Flume, and Hive: Great for CCA175 and Hortonworks Spark Certification preparation
Learn Hadoop Distributed File System (HDFS) and commands Lifecycle of Sqoop command Sqoop import command to migrate data from Mysql to HDFS Sqoop import command to migrate data from Mysql to Hive Understand split-by and boundary queries Use incremental mode to migrate the data from Mysql to HDFS Using Sqoop export to migrate data from HDFS to MySQL Spark Data frames - working with diff File Formats & Compression Spark SQL
About In this course, you will start by learning about the Hadoop Distributed File System (HDFS) and the most common Hadoop commands required to work with HDFS. Then, you’ll be introduced to Sqoop Import, through which will gain knowledge of the lifecycle of the Sqoop command and how to use the import command to migrate data from Mysql to HDFS, and from Mysql to Hive–and much more.
In addition, you will learn about Sqoop Export to migrate data effectively, and about Apache Flume to ingest data. The section Apache Hive introduces Hive, alongside external and managed tables; working with different files, and Parquet and Avro—and more. You will learn about Spark Dataframes, Spark SQL and lot more in the last sections.
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[ FreeCourseWeb.com ] Packt - Master Big Data Ingestion and Analytics with Flume, Sqoop, Hive and Spark.zip
