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Big Data Analytics With Hadoop
Duration
2
Course
EJHD-140
Available Formats
Classroom Training, Online Training
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
During the Big Data Analytics With Hadoop course, students will learn:
- Understanding Hadoop ecosystem
- Data storage using HDFS
- Data warehousing and querying using Hive
Audience
Business Analysts, Developers
Prerequisites
- programming background with databases / SQL
- basic knowledge of Linux
Topics
Hadoop ecosystem
Hadoop overview
- 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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title
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