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Big data and Hadoop framework

Big data applications, Hadoop Architecture , Data lake, data science and scientist, Demo

Created byKaushik Vadali

Last updated 6/2018

English

What you'll learn

Understand Big data technologies, Data analytics and Hadoop framework

Course content

2 sections • 14 lectures • 1h 12m total length

Big data Introduction5:33
1.2 Big data history5:33
1.3 Big data technologies3:14
1.4 Big data characteristics5:33
1.5 Big data Applications5:46
1.6 Data Lake4:43
1.7 Data science and Data scientist7:39

2.1 - Hadoop introduction6:17
2.2 - HDFS-Overview6:20
2.3 - Hadoop Architecture
2.3a - Hadoop Architecture - assumptions and goals3:34
2.4 - Demo-Hadoop install - sw download verify integrity5:23
2.5 - Demo-Hadoop install - Java ssh configure5:56
2.6 Demo hadoop access by browser6:35
Access Hadoop

FileSystem Java API and REST API.
HTTP browser and can also be used to browse the files of a HDFS instance.
HDFS can be mounted as part of the client’s local file system.
The NameNode and DataNode are pieces of software designed to run on
commodity machines. These machines typically run a GNU/Linux operating
system (OS).
File System (FS) Shell CLI to interact with the data in HDFS.
HDFS can be deployed on a wide range of machines.
A dedicated machine may run NameNode software and other nodes in the cluster runs an instance of the DataNode software.
The NameNode is the controller and repository for all HDFS metadata.

Requirements

Basic computer knowledge, a bit of Java, database concepts and Linux operating system.

Description

This course is focusing on Big data and Hadoop technologies, hands on demos,

Section 1 - Big data

1.1 Big data introduction

1.2 Big data history

1.3 Big data technologies

1.4 Big data characteristics

1.5 Big data Applications

1.6 Data Lake

1.7 Data Science and Data scientist

Section 2 - Hadoop

2.1 - Hadoop introduction

2.2 - HDFS-Overview

2.3 - Hadoop Architecture

2.3a - Hadoop Architecture - assumptions and goals

2.4 - Demo-Hadoop install - sw download verify integrity

2.5 - Demo-Hadoop install - Java ssh configure

2.6 - Demo hadoop access by browser

Who this course is for:

Anyone who is interested in learning Big data, Data analytics and Hadoop Framework