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  • Author: voska89
  • Date: 21-09-2015, 16:21
21-09-2015, 16:21

Comprehensive Course on Apache Hadoop Database Apache HBase

Category: Tutorials

Comprehensive Course on Apache Hadoop Database Apache HBase
Udemy - Comprehensive Course on Apache Hadoop Database: Apache HBase
MP4 | Video: 1280x720 | 53 kbps | 48 KHz | Duration: 9 Hours | 1.15 GB
Genre: eLearning | Language: English

Get comprehensive training in Big Data, Hadoop and Apache HBase with 44-lectures and over 9-hours of Video content.

In this Apache HBase course, you will learn about HBase NoSQL database and how to apply it to store Big Data. This includes an introduction to Non-relational database, how NoSQL differs from traditional database system, comparison of HBase with HDFS and in-depth knowledge of Apache HBase. This course on HBase shows how HBase stores data in a Hadoop cluster. You will also learn to load data in HBase from various tools such as Pig, Hive, Sqoop, etc.

What are the requirements?

Prior experience with Databases is helpful.
Basic knowledge of Apache Hadoop is required.
Basic Knowledge of Java Programming and SQL.
But Java is not strictly a prerequisite for working with Hadoop.
Knowledge of Linux OS will help you to Install, Configure & Manage Hadoop cluster
What am I going to get from this course?

Over 53 lectures and 8 hours of content!
Understanding how NoSQL is different from RDBMS
Install, manage and monitor HBase Cluster
Perform DML and DDL on the data stored in HBase tables using shell
Understand HBase and HDFS work together
Connect HBase using the Java API
Implement filters, counters in HBase using Java API and HBase shell
Design optimal HBase schemas for efficient data storage and recovery
Administrate an HBase cluster, identify and resolve performance bottlenecks
Interact with HBase from various clients such as PIG, Hive, Sqoop and MapReduce Client.
What is the target audience?

This course is intended for developers who will be using HBase to develop applications, administrators who will manage HBase cluster, Software professionals, analytics Professionals, and ETL developers
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