Big Data training in
Hyderabad

  • Get Certified at the Best Big Data Training Institute.
  • Get trained by industry experts.
  • Big DataClassroom and Online training.
  • 20+ Real-time projects
1500+ Students Enrolled
4.4 Rating (412) Ratings
45 Days Duration

Course Preview

Roles for Big DataCourse
  • Sr Hadoop Developer
  • Hadoop Architect
  • Hadoop Admin
  • Big Data Engineer
  • Big Data Analyst

Why Big DataCourse?

  • Learn Think of a business that relies on quick, agile decisions to stay competitive, and most likely big data analytics is involved in making that business tick. 53% Of Companies Are Adopting Big Data.
  • Acces The average base pay for at least six big data skills itself is well over $120,000 a year.
  • Keyfeature Big data has seen massive exponential growth leading to numerous career opportunities.

Why Big DataTraining at Digital Lync?

  • Learn Digital Lync offers one of the best Big Data training in Hyderabad with a comprehensive course curriculum.
  • Acces Elevate your practical knowledge with quizzes, assignments, Competitions and Hackathons to give a boost to your confidence with our hands-on Big Data Training.
  • Acces Big Data training in Hyderabad at Digital lync makes you industry ready with coaching sessions, interview prep advice, and resume with 1-1 Mentoring.

Course Curriculum

It stretches your mind, think better and create even better.

4V ( Volume, Velocity, Variety and Veracity) characteristics

Structured and Unstructured Data

Application and use cases of Big Data

Limitations of traditional large Scale systems

How a distributed way of computing is superior (cost and scale)

Opportunities and challenges with Big Data

Introduction to Linux and Big Data Virtual Machine (VM)

Introduction to Linux - Why Linux? -

Windows and the Linux equivalents

Different flavors of Linux

Unity Shell (Ubuntu UI)

Basic Linux

Commands (enough to get started with Hadoop)

Intodcution to AWS

Using EC2 (Elastic Compute Cloud)

Introduction to Hadoop

HDFS – Hadoop Distributed file system

Components of HDFS

HDFS terminology

HDFS Federation

HDFS high availability

Role of zoo keeper

Replica pipeline and network distance algorithm

HDFS Read and Write

Installing Hadoop in Windows/Mac using Cloudera Quickstart VM

Introduction to Map Reduce Framework

Mapper and Reducer APIs

First Map Reduce program – Word Count

Map Reduce examples – Inverted Index and Titanic Data Analysis

Modes of execution

Job execution in MRV1 VS YARN

Serialization and Deserialization

Writable Classes

Distributed Cache

Programming concepts of Scala

Introduction to Spark

Why Spark ?

Applications of Spark

Spark Terminology

Introduction to RDD

Installation and Configuration of Spark

Transformations and Actions

Spark Architecture

Different interfaces to Spark

Data frames and Datasets

Querying massive data using SparkSql

Sample Python programs in Spark

Data Visualization using Apache Zeppelin

Capabilities of Kafka

Core APIS of Kafka

Topics and Logs

Distribution

Geo-Replication

Producers

Consumers

Multi-tenancy

Guarantees

Kafka as a Messaging System

Kafka as a Storage System

Kafka for Stream Processing

Introduction to Hive

RDBMS VS Hive

Hive DDL : Managed Table VS External Table

Issues with delimiters

Hive Architecture

Partitioning – Static and Dynamic

Bucketing

Dealing JSON data – using JSON SerDe

Hive UDF

Creating Views

File Formats – Avro, Parquet, ORC

Optimizing Techniques

What is a No SQL Database ?

Why Hbase ?

Introduction to Hbase

Hbase high level architecture

Hbase commands

Indepth architectural view of Hbase

Java APIs for Hbase operations

Bulk Load using Table Mapper and Table Reducer API

Bulk Load using import TSV tool from a file

Introduction to Sqoop

Sqoop Architecture

Sqoop import and Export with Examples

Flume – Spooling Directory

Introduction to Oozie

Oozie workflow

Oozie Action Tags

Oozie Parametrization

Cloudera Hadoop cluster on the Amazon Using EMR (Elastic Map Reduce)

Using EC2 (Elastic Compute Cloud)

Importing/ exporting data across RDBMS and HDFS using Sqoop

Getting real- time events into HDFS using Flume

Creating workflows in Oozie

Introduction to Graph processing

Graph processing with Neo4J

Processing data in real time using Storm

Interactive Adhoc querying with Impala

Live Projects

Big Data Live Projects

Crime Prediction

Machine learning has shown great scope for predicting crime. Historical data of crime locations, subjects, victim descriptions, time, and more can be used to model machine...

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Big Data Live Projects

Analyzing Nuclear Physics Data

This would sound cool to a lot of people but it is equally complex. The likes of CERN release a lot of their data to the general public for analysis...

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Big Data Live Projects

Simulating and Predicting Traffic

The problem of simulating and predicting traffic for a route has been a long-standing problem. Models for correctly simulating traffic...

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Big Data Live Projects

Modeling Natural Language

The languages used in a computer are simple and in most cases ‘context-free.’ However, human languages are much more complex and require...

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Big Data Live Projects

Fraud Detection

Be it emails, text messages, transactions or spoken word, fraud detection can be used. To know that an email is fake or a transaction is shady requires more than human...

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Big Data Live Projects

Market Basket Analysis using Apriori Algorithm

Market Basket Analysis is a technique which identifies the strength of association between pairs of products purchased together and...

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Case Studies

Big Data at Netflix
Big Data at Netflix

See how netflix uses Big Data to improve its recommendation system. how they leverage Big Data to provide personalized recommendations to its users.

Big Data in Education
Big Data in Education

Check out the modern way of learning of how Big Data is transforming the education system. Get an in-depth understanding of the diverse role of Big Data.

FAQ’s

Our Big Data training has precisely been developed to reach out to the demand of the learners by keeping in mind the industry standards.
This Big Data course will particularly be helpful for the career advancement of the following audience -

Graduates from the College.

Currently working employees looking to upskill themselves.

Candidates looking for a change in the IT Field.

As such, there are no specific prerequisites for Big Data institutes in Hyderabad. If you are familiar with programming and foundation skills with a sense of curiosity and willingness to learn you are all set for the Big Data training.

Big Data Training Classes are conducted over the Weekdays and Weekends through classroom and online sessions. Please get in touch with the Digital Lync team to get the exact schedule and timings.

Our Big Data faculty has over 12 years of experience.

Big Data Course duration is 50 hours.

Weekday Big Data Training classes will be one hour long and Weekend classes will be three hours long.

Please find the detailed Big Data course curriculum in the Digital Lync Big Data training curriculum section.

Yes, we will assist our students with all the interview preparation techniques

Life at Digital Lync

Life at Digital Lync

The environment at Digital Lync is colorful and creative. It is where ideas are incubated and generated. An apt place to explore yourself.

Inspiring Student Stories.

Here are stories of real knowldege, real people,
under real innovation.

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Locations

Come and chat with us about your goals over a cup of coffee
Locations
Gachibowli-Hyderabad

1st Floor, Plot No: 6-11, survey No., 40 Khajaguda, Naga Hills Rd, Madhura Nagar Colony, Gachibowli Hyderabad, Telangana 500008

Locations
Kukatpally-Hyderabad

Address: #106 & 107, Manjeera Trinity Corporate. Near Manjeera Mall, Kukatpally, Hyderabad, Telangana 500072

Locations
Malaysia

11, Pusat Dagang Seksyen 16 Seksyen 16, 46350 Petaling Jaya Selangor, Malaysia

Locations
USA

#23664, Richland Grove Dr, Ashburn, VA 20148

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