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Big Data Analytics With Hadoop
Course Description
Overview
Apache Hadoop is a popular framework for processing Big Data. Hadoop provides rich and deep analytics capability, and it is making in-roads into the traditional BI analytics world. This course will introduce an analyst to the core components of the Hadoop ecosystem and its analyticsObjectives
- Understanding Hadoop ecosystem
- Data storage using HDFS
- Data warehousing and querying using Hive
Audience
Prerequisites
- programming background with databases / SQL
- basic knowledge of Linux
Topics
- Distributions
- High level architecture
- Hardware / software
- Labs : first look at Hadoop
- Concepts (horizontal scaling, replication, data locality)
- Architecture (Namenode, Data node)
- Demo : Interacting with HDFS
- YARN operating system
- Demo : Running applications on YARN program
- Hive concepts & architecture
- SQL support in Hive
- Data warehousing in Hive
- Data types
- Table creation and queries
- Partitions
- Joins
- Modern data formats
- Text analytics
- Hive performance
- Labs (multiple)
Related Courses
-
Hadoop for Systems Administrators
OSUN-660- Duration: 3 Days
- Delivery Format: Classroom Training, Online Training
- Price: 1,755.00 USD
-
Hadoop for Developers
EJHD-125- Duration: 3
- Delivery Format: Classroom Training, Online Training
- Price: 2,100.00 USD
Self-Paced Training Info
Learn at your own pace with anytime, anywhere training
- Same in-demand topics as instructor-led public and private classes.
- Standalone learning or supplemental reinforcement.
- e-Learning content varies by course and technology.
- View the Self-Paced version of this outline and what is included in the SPVC course.
- Learn more about e-Learning
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