Cloudera Developer Training for Spark and hadoop
Cloudera Developer Training for Spark and hadoopCourse Time：2016年6月27-30日
Course Location：上海市 浦东新区 张江高科 伯克利工程创新中心
Contact us：400-679-6113
QQ：1438118790
Certification：CCA-175
Learn how to import data into your Apache Hadoop closter and process it with spark、hive、flume、sqoop、impala and other Hadoop ecosystem tools.
Audience and Prerequisites
This course designed for developers and engineers who have programming experience. Apache spark examples and hands-on exercises are presented in Scala and Python, so the ability to program in one of those languages is required. Basic familiarity with the Linux command line is assumed. Basic knowledge of SQL is helpful. Prior knowledge of Hadoop is not required.
Course outline：Developer Training for Spark and hadoop
Introduction to Hadoop and the Hadoop ecosystem
Hadoop architecture and HDFS
Importing relational data with Apache spoop
Introduction to impala and hive
Modeling and managing data with impala and hive
Data formats
Data partitioning
Capturing data with Apache flume
Spark basics
Working with RDDs in spark
Writing and deploying spark applications
Parallel programming with spark
Spark caching and persistence
Common patterns in spark data processing
Preview：spark SQL
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