Bigdata Hadoop Adminstration And Analytics
Data Analytics (Data Science) is the science of analyzing data to convert information to useful knowledge. This knowledge could help us understand our world better, and in many contexts enable us to make better decisions. While this is the broad and grand objective, the last 20 years has seen steeply decreasing costs to gather, store, and process data, creating an even stronger motivation for the use of empirical approaches to problem solving. This course seeks to present you with a wide range of data analytic techniques and is structured around the broad contours of the different types of data analytics, namely, descriptive, inferential, predictive, and prescriptive analytics.
Benefit of learning Bigdata Hadoop Adminstration And Analytics From Selecom Technology
Training through the At-Time-Application-Development
Training based on Real Time Industry requirements fulfillment
Practical on Real Time Administration Problems
Experienced Trainers From Well-Know IT-Companies
Extra Seminars for Related Advanced Technologies in Database even after completion of course
Audio/Video Recording Of the sessions.
Facility of sending Class-room codes over the E-Mail.
Course Content
Getting Started with Database (RDBMS)
Concept of the Database and RDBMS
Basic Select Statements & conditions
Operations and Flow of Commands
Creating and Managing Tables
Date Time Functions
Data Definition Language & Commands
Data Manipulation Language & Commands
Transaction Control Language & Commands
Constraints (PK, UNIQUE, NOT NULL, CHECK)
Relationship (Foreign Key)
Database Objects (Sequence, Index, View)
Schema, User Creation and privileges.
The Base of Hadoop : JAVA Programming
Introduction to the OOPS concepts
Installing and Starting programming in Java
Operators and Relations
Branching (One, Two, Multi-Way)
Looping Constructs
Fuctions (Void, Return Type, Default, Parameterized, Static, Non-Static)
Constructors (Single/Overloading)
Multiple classes
Inheritance (single, Multilevel)
Access Specifies (Public, Private, Protected)
Arrays & Exceptions
Interface & Packages
The Server-Side OS : LINUX
Installing Linux
Manual Partitions Creation while installing
Getting Familiar with The Linux environment
Working on Terminal
Getting Familiar with The commands: Mkdir, CD, Touch, rm, cal, ls, vim, gedit, cp, mv, tar etc.
Editing Files in Linux
Creating and Managing Users & Groups
Configuring SCALA & SPARK
Downloading and Installing SPARK
Configuring SPARK
Starting SPARK DAEMON
Starting SPARK Shell
Installing and Configuring SCALA
Working with SCALA command Line
SCALA Commands Line & Programming
Declaring Variables/ Constants
Operations (+,-,*, /, %)
Relations (<, >, <=, >=, !=)
BigInteger and BigDecimal
Importing libraries (scala.math._)
Commandline Functions: abs, cbrt, sqrt, round, floor, ciel, exp, pow, hypot, log10, log2, min, max, random, toRadians, toDegrees, sin, cos, tan etc.
Writing basic Scala Programs
Objects in scala
Conditions in scala
Loops in Scala
Concepts of Array
Hadoop for Bigdata
Prerequisite for Hadoop:
Downloading JDK for Linux
Installing and Configuring JDK for Hadoop
Editing the .Bash Profile for JAVA
Making JAVA available for all users
Setting environment Variable for JAVA
Verifying JAVA (Running JAVA code on Linux)
Hadoop Installation & Configuration:
Downloading and Installing Hadoop for Standalone Installation
Creating Environment Variable
Verifying Hadoop installation
Installing HADOOP in Distributed Mode
Configuring hadoop-env.sh
Configuring core-site.xml
Configuring hdfs-site.xml
Configuring yarn-site.xml
Configuring mapred-site.xml
Name-Node Setup
Data-Node Setup
Formating Name Node
Starting HDFS (start-dfs.sh)
Login using Ssh localhost
Accessing HADOOP on BROWSER
Hadoop- HBASE (The NOSQL DB)(HMASTER & ZOOKEEPER)
Downloading and Installing HBASE
Configuring HBASE
Setting Environment & Managing XML file
Configuring ROOT_DIR & DATA_DIR
Starting HMASTER & ZOOKEEPER
Creating and Managing Tables
Inserting Data Using PUT
Updating Data Using PUT
Using Scan & Get Commands to Retrieve The DATA
Altering the Tables
Renaming a Table
Deleting the Data
Disabling and Dropping A Tables
Versioning in HBASE
Understanding Hadoop Ecosystem
Introduction to ecosystem which includes HDFS, MapReduce, YARN, HBase, Hive, Pig, hmaster, Zookeeper service, namenode, nodemanager.
MapReduce
Introduction to MapReduce
Using WordCount Program in Java
Creating Required Directories in HDFS
Putting Files (Java Files) from XFS to HDFS
Compiling Java File in HDFS
Generating Output From Jar File
Showing Output using “Hadoop dfs –cat”
HIVE & Derby DB
Installing And Configuring Hive
Installing and Configuring Derby DB
Configuring MetaStore in Hive
Creating JPOX.property
DDL
DML
Introduction to Python
Verifying the Python Installation
Command Line operations
Concepts of String example [2:5]
List
Tuple
Dictionary
Installing R-Programming & PIG
Installing R
Downloading Pig
Installing Pig
Getting to the grunt shell
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