E-Books / Video Training →Ingestion of Big Data Using Apache Sqoop & Apache Flume

Published by: mitsumi on 14-01-2019, 20:32 | 0

Ingestion of Big Data Using Apache Sqoop & Apache Flume
.MP4 | Video: 1280x720, 30 fps(r) | Audio: AAC, 44100 Hz, 2ch | 2.96 GB
Duration: 4.5 hours | Genre: eLearning | Language: English
Learn How to Import data to HDFS, HBase and Hive and many sources , including Twitter and MySQL.

What you'll learn

HIVE Import with Sqoop
Hive Export with Sqoop
Import Data into HBase
Sqoop2 Architecture
Twitter Data in HDFS
Twitter Data in HBase using Flume
Interceptor Channels selector and Sink processor etc.

Requirements

Basic Knowledge of Big Data
Basic Knowledge of Hadoop
Basic Knowledge of Mysql

Description

This course provides basic and advanced concepts of Sqoop. This course is designed for beginners and professionals.

Sqoop is an open source framework provided by Apache. It is a command-line interface application for transferring data between relational databases and Hadoop.

This course includes all topics of Apache Sqoop with Sqoop features, Sqoop Installation, Starting Sqoop, Sqoop Import, Sqoop where clause, Sqoop Export, Sqoop Integration with Hadoop ecosystem etc.

Flume is a standard, simple, robust, flexible, and extensible tool for data ingestion from various data producers (webservers) into Hadoop. In this course, we will be using simple and illustrative example to explain the basics of Apache Flume and how to use it in practice.

Who this course is for:

Professionals aspiring to make a career in Big Data Analytics using Hadoop Framework with Sqoop
ETL developers and professionals who are into analytics in general may as well use this course to good effect.