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HDP Developer: Foundations

概述

This course is designed for developers, data analysts, architects, technical managers, and anyone else who needs to store and analyze big data stored in Apache Hadoop. It is based on the HDP 3.x environment. The course provides a solid understand of core Hadoop and then provides a dedicated day to focus on two of HDP’s most important components; Hive 3 and Spark 2. Although not a prerequisite, this course is a great primer to separate Hortonworks week-long courses on Apache Hive and Apache Spark.

Prerequisites

An understanding RDBMS concepts and SQL skills are required. Students should be familiar with programming principles and have previous experience in software development. Basic Linux scripting knowledge is also helpful. No prior Hadoop experience is required.

Target Audience


开发者和数据工程师谁需要了解并在 HDP 上开发应用程序。

Hadoop ecosystem & tools; Ambari, HDFS, YARN, Sqoop, and Apache Pig

Apache Hive 3; creating/loading/querying tables, transactional operations, partitioning, and ORC

Apache Spark 2; Zeppelin, RDD, Spark SQL, Hive integration, job monitoring, and stand-alone apps

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