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Analytic Data Storage in Hadoop

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Analytic Data Storage in Hadoop
MP4 | Video: 1280x720 | 125 kbps | 48 KHz | Duration: 6 Hours | 1.08 GB
Genre: eLearning | Language: English

In this Analytic Data Storage in Hadoop training course, expert author Ryan Blue will teach you about typical storage and ingest patterns in Hadoop. This course is designed for users that are already familiar with Hadoop.

You will start by learning how to create the dataset, load sample data, and query a dataset. From there, Ryan will teach you about partitioning, formats, and Avro. This video tutorial also covers parquet, bulk data drops, and database snapshots and mirroring. Finally, you will learn about event stream processing, including how to build a test pipeline and move to production.

Once you have completed this computer based training course, you will have gained a solid understanding of typical storage and ingest patterns in Hadoop. Working files are included, allowing you to follow along with the author throughout the lessons.

Analytic Data Storage in Hadoop

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  1. Hadoop分析数据存储 在本教程中,专业作者Ryan Blue将会讲授关于Hadoop中典型的存储和获取模式。本教程的目标学习者是熟悉Hadoop的人。 开始会学习如何创建数据集、导入演示数据和查询数据集。然后,Ryan将会讲授partitioning、formats和Avro。教程还会讲到parquet、批量数据drop以及数据库快照和监控。最后,你将学习事件流处理,包括如何开发一个测试管道以及用于真正的工作中。 在学完本教程后,你将能够理解Hadoop中的典型存储和数据提取模式。
    wilde(特殊组-翻译)2年前 (2015-11-12)