Have a quick glance at below for more details.

COURSE SUMMARY

HIGHLIGHTS OF HORTONWORKS HADOOP 2.2 ONLINE TRAINING  AT KEEN TECH

• Introduces you to the world of big data
• Presents an overview on the history of Hadoop
• Explains the Hadoop Ecosystem
• Covers HDFS architecture
• Makes you familiar with Hadoop distributions
• Detailed coverage on Hadoop based enterprise applications
• Focuses on emerging trends
• Powers the learner with industry’s best practices

CORE BENEFITS OF LEARNING HORTONWORKS HADOOP 2.2

Hadoop seems to be the way ahead for organization small or large. Hadoop provides flexible, scalable and fault tolerant framework for distributed storage and processing of big data. Hadoop also makes it possible to store and process hundreds or thousands of terabytes of data. Moreover it comes at a low cost. This makes it a very sought after technology and something that is here for a long time to stay. Hortonworks Hadoop not only opens better job opportunities but also helps you tackle and analyze data with a new insight. It is therefore a highly recommended learning for IT professionals.

Hadoop is a technology that equips organizations to capture insights from high-scale and highly erratic data in an easy and cost-effective way. Increasingly a large number of organizations are building innovative data-driven businesses with this technology. This course focuses on the technology from different points of view that includes developing great software solutions, managing infrastructure platforms for the enterprise, and generating quality insights from data science.

COURSE CONTENT :

HORTONWORKS HADOOP 2.2 ONLINE TRAINING CONCEPTS :

• HDP Overview: Essentials
• HDP Analyst: Data Science
• HDP Analyst: HBase Essentials

DEVELOPER

• HDP Developer: Java
• HDP Developer: Apache Pig and Hive
• HDP Developer: Windows
• HDP Developer: YARN
• HDP Developer: Storm and Trident Fundamentals

ADMIN

• HDP Operations: Install and Manage with Apache Ambari
• HDP Operations: Migrating to the Hortonworks Data Platform
• HDP Academic Analyst: Data Science
• HDP Academic Developer: Apache Pig and Hive
• HDP Academic Operations: Install and Manage with Apache Ambari