Big Data Hadoop Training

Instructor-led Classes

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New Batch starts from 14th November 2020

Course brief

In this course, we will learn about Hadoop, HDFS, Map Reduce, Pig, Hive, HBase,Flume,Sqoop ,SCALA,SPARK. During this instructor-led Hadoop Training, you will be having live interaction with the instructor, and at the end of the course, you will be dealing with a real-time project. Based on the performance you will be issued a course completion certificate and also you will get access to our classroom portal(LMS) where you can access course content, class recordings andquizzes.

TIMELINE
8 weeks
PREREQUISITES
none
SKILL LEVEL
Advanced

₹9950

₹20000 50%

Why learn Big Data Hadoop?

The most important motive to learn Big Data Hadoop is it provides a ‘foundation’fororganizations thatwantto start various projects.Major job opportunity platforms are created for Big Data Analysts .The demand for Big Data professionals with this specific skill set is on the rise while the supply chain islow.

What you will learn

Lesson 1
Hadoop Core (Overview & Components)
  • Big Data Introduction
  • Big Data Solutions(Business Use-cases)
  • Hadoop Cluster Environment Setup
  • Nodes(client, slave)
  • Modes(Stand alone, Pseudo, Distributed)
  • HDFS Overview
  • Introduction
  • Architecture(Name node, Data node)
  • Features(Replication, Federation, Fault tolerance)
  • Operations
  • Command Reference
  • YARN Overview
  • YARN Introduction
  • Architecture (Resource Manager, Node Manager etc..)
  • Hadoop1 (MR1)VSHadoop2(YARNorMR2)
  • Map Reduce Program
  • MR stages
  • Map Reduce Algorithms
  • Example Scenario
Lesson 2
Processing Layer (Hive In-Dept, Spark, Python Basics)
  • HIVE
  • Overview
  • Installation & Configuration
  • Variables & Data types
  • Primitive Types
  • Complex Types
  • Functions, Views & Indexes
  • Built-in Functions
  • UDF’s, UDAF’s, UDDF’s
  • Hive Query Operations
  • Partitioning & Bucketing
  • Different file formats
  • JSON real time use-case
  • Spark Core
  • Introduction & Overview
  • Architecture
  • Installation of Spark—Options
  • Spark Context & Spark Session
  • Spark Core
  • RDD’s Operations
  • Transformations
  • Actions
  • Shuffle Operations
  • RDD’s Persistence & Cache
  • Lazy evaluation
  • Spark SQL
  • Creating DF’s & Operations
  • Creating DS’s & Operations
  • Aggregations
  • Joins
  • Schema
  • Case Classes
  • Data Sources
  • Generic Load/Save Functions
  • Parquet Files
  • Hive Tables
  • Performance Tuning
Lesson 3
Ingestion Layer (Sqoop,Flume)
  • SQOOP
  • Introduction
  • Installation & Configuration
  • Connectors in Sqoop
  • Imports & Exports
  • Controlling Import Process
  • Sqoop Job
  • List tables and Database
  • FLUME
  • Overview
  • Introduction
  • Applications using Flume
  • Advantages of Flume
  • Architecture
  • Flume Agent
  • Sources
  • Channels
  • Sinks
  • Data Flow in Flume
  • Features
  • Installation&Configuration
  • FlumeDemoNetCatSource
Lesson 4
NoSQL
  • Mongo DB
  • Need of No SQL Databases
  • Relational VS Non-Relational Databases
  • Introduction to Mongo DB
  • Features of Mongo DB
  • Installation of Mongo DB
  • Mongo DB Basic operations
  • REAL Time Use Cases on Hadoop & Mongo DB Use Cases
Big Data Hadoop demo webinar

Attend this demo to learn about course content of the Big Data Hadoop instructor-led Training by Pramanicus Academy.

8th November 2020, 11:00 AM - 12:00 PM

FAQs

Can I attend this course online?

Yes. This course is completely online

Will I get a certificate after completing the course?

Yes. On successful completion of this course, we will be issuing you a Course Completion Certificate

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