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HDP Overview: Apache Hadoop Essentials
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HDP Overview: Apache Hadoop Essentials
WHAT YOU WILL LEARN
This course provides a technical overview
of Apache Hadoop. It includes high-level information about concepts,
architecture, operation, and uses of the Hortonworks Data Platform (HDP) and
the Hadoop ecosystem. The course
provides an optional primer for those who plan to attend a hands-on,
instructor-led course.
AUDIENCE
Data architects, data
integration architects, managers, C-level executives, decision makers,
technical infrastructure team, and Hadoop administrators or developers who want
to understand the fundamentals of Big Data and the Hadoop ecosystem.
METHODOLOGY
Student centred learning/Experiential
Learning
Lectures & participative information
exchange
COURSE OBJECTIVES
Upon completion of this program,
participants should be able to :
- Describe what makes data “Big Data"
- List data types stored and analyzed in Hadoop
- Describe how Big Data and Hadoop fit into your current infrastructure and environment
- Describe fundamentals of:
- the Hadoop Distributed File System (HDFS)
- YARNo MapReduce
- Hadoop frameworks: (Pig, Hive, HCatalog, Storm, Solr, Spark, HBase, Oozie, Ambari, ZooKeeper, Sqoop,
- Flume, and Falcon)
- Recognize use cases for Hadoop o Describe the business value of Hadoop
- Describe new technologies like Tez and the Knox Gateway
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