MODULES INCLUDED

  • Evolution of Data
  • Big Data definition
  • Sources of Big Data
  • Social media as a Big Data source
  • Cloud as a Big Data source
  • IOT as a Big data source
  • Dat bases as Big Data source
  • Types of Data
  • Big Data challenges
  • Big Data opportunities
  • Big data in Healthcare Optimisation
  • Big Data in Telecom Industry
  • Big data in Marketing
  • Big data in optimising business processing
  • Challenges with the traditional approach
  • What is Hadoop
  • Why Hadoop
  • Features of Hadoop
  • Hadoop Architecture
  • Hadoop vs RDBMS
  • Data storage in HDFS
  • HDFS architecture
  • HDFS write mechanism
  • HDFS read mechanism
  • What is MapReduce
  • Word Count Example
  • MapReduce execution framework
  • Limitations of MapReduce.
  • What is Yarn
  • Feature of Yarn
  • Architecture of Yarn
  • Limitations of MapReduce
  • Apache spark definition
  • Features of Spark
  • Apache spark applications
  • Apache Spark Components
  • Spark core
  • Spark streaming
  • Spark SQL
  • MLlib
  • GraphX
  • Spark Architecture
  • Why Apache Pig
  • What is Apache Pig
  • Apache PIG vs MapReduce
  • Apache Pig vs SQL
  • Apache Pig execution modes
  • Apache Pig features
  • Apache Pig Highlights
  • Who is using Apache Pig
  • Apache Pig data types
  • Apache Pig commands
  • Application of Apache Pig
  • Apache Pig execution example
  • Apache Pig architecture
  • Apache Pig components
  • What is Hive?
  • Features of Apache Hive
  • Hive Architecture
  • Hive Job execution flow
  • Execution modes in Hive
  • There will be a multiple-choice exam of 100 marks.
  • You need to acquire 60+ marks to clear the exam.
  • If you fail, you can retake the exam after one day.
  • You can take the exam no more than 3 times.
  • If you fail to acquire 60+ marks even after three attempts, then you need to contact us to get assistance for clearing the exam

Certification Benefits

  • Opens the world of excellent career opportunities in Big Data analytics.
  • Proves to be your competitive edge in interviews
  • Ramps up your career growth.
  • Improves your chances to get highly paid.

What you get?

  • Global Tech Council Certification
  • 24*7 Support for all your queries
  • Career guidance in big data analytics domain

CAREER FACTS

Top job functions

  • Business Development
  • Engineering
  • Information Technology
  • Operations
  • Sales


What does a Big Data Expert do?

Big data expert works closely with data, and make it informative by analyzing the data, which leads to business growth.

The Growth Curve ahead:
Big Data Analyst

Final Outcome

After completing this certification, you would have mastered the core concepts of Big Data that are commonly used across multiple industries to solve large-scale problems.

 

 

 

Success Stories

MODULES INCLUDED

  • Evolution of Data
  • Big Data definition
  • Sources of Big Data
  • Social media as a Big Data source
  • Cloud as a Big Data source
  • IOT as a Big data source
  • Dat bases as Big Data source
  • Types of Data
  • Big Data challenges
  • Big Data opportunities
  • Big data in Healthcare Optimisation
  • Big Data in Telecom Industry
  • Big data in Marketing
  • Big data in optimising business processing
  • Challenges with the traditional approach
  • What is Hadoop
  • Why Hadoop
  • Features of Hadoop
  • Hadoop Architecture
  • Hadoop vs RDBMS
  • Data storage in HDFS
  • HDFS architecture
  • HDFS write mechanism
  • HDFS read mechanism
  • What is MapReduce
  • Word Count Example
  • MapReduce execution framework
  • Limitations of MapReduce.
  • What is Yarn
  • Feature of Yarn
  • Architecture of Yarn
  • Limitations of MapReduce
  • Apache spark definition
  • Features of Spark
  • Apache spark applications
  • Apache Spark Components
  • Spark core
  • Spark streaming
  • Spark SQL
  • MLlib
  • GraphX
  • Spark Architecture
  • Why Apache Pig
  • What is Apache Pig
  • Apache PIG vs MapReduce
  • Apache Pig vs SQL
  • Apache Pig execution modes
  • Apache Pig features
  • Apache Pig Highlights
  • Who is using Apache Pig
  • Apache Pig data types
  • Apache Pig commands
  • Application of Apache Pig
  • Apache Pig execution example
  • Apache Pig architecture
  • Apache Pig components
  • What is Hive?
  • Features of Apache Hive
  • Hive Architecture
  • Hive Job execution flow
  • Execution modes in Hive
  • There will be a multiple-choice exam of 100 marks.
  • You need to acquire 60+ marks to clear the exam.
  • If you fail, you can retake the exam after one day.
  • You can take the exam no more than 3 times.
  • If you fail to acquire 60+ marks even after three attempts, then you need to contact us to get assistance for clearing the exam

Certification Benefits

  • Opens the world of excellent career opportunities in Big Data analytics.
  • Proves to be your competitive edge in interviews
  • Ramps up your career growth.
  • Improves your chances to get highly paid.

What you get?

  • Global Tech Council Certification
  • 24*7 Support for all your queries
  • Career guidance in big data analytics domain

CAREER FACTS

Top job functions

  • Business Development
  • Engineering
  • Information Technology
  • Operations
  • Sales


What does a Big Data Expert do?

Big data expert works closely with data, and make it informative by analyzing the data, which leads to business growth.

The Growth Curve ahead:
Big Data Analyst

Final Outcome

After completing this certification, you would have mastered the core concepts of Big Data that are commonly used across multiple industries to solve large-scale problems.

Big Data Certification, big data training, big data expert, big data hadoop training

 

 

Success Stories

MODULES INCLUDED

  • Introduction to Big Data and Hadoop Preview
  • Objectives Preview
  • Need for Big Data Preview
  • Appeal of Big Data Technology
  • Introduction to HadoopPreview
  • Hadoop Configuration
  • Apache Hadoop Core Components Preview
  • Hadoop Core Components

 

  • Introduction to HDFS
  • Internal Architecture of HDFS
  • HDFS Workflow
  • Hadoop Cluster Setup and Working
  • Cluster Management Solution
  • Hadoop Configurations and Daemon Logs
  • Hadoop Daemons or Roles
  • Introduction
  • Balancing a Cluster
  • Managing Services
  • Managing Software Packages with Apache Hadoop
  • Managing Role Instances
  • Improvements in Hadoop Version 2
  • Computation Framework
  • Map Reduce
  • YARN
  • Scheduling: Managing Resources
  • Capacity Scheduler
  • Hadoop Cluster Planning
  • Cluster Setup Options
  • Hadoop Clients and Hue Interface
  • Overview of Hadoop User Experience (Hue)
  • Hue Application Interfaces
  • Data Ingestion in Hadoop Cluster
  • Structured Data Ingestion with Apache Sqoop
  • Demo Using Sqoop to Import Data into HDFS
  • Hadoop Ecosystem Components/Services
  • H-Base
  •  Apache Kafka
  • Introduction
  • Implementation
  • Service Level Authorization
  • Hadoop Cluster Monitoring
  • Hadoop Cluster Monitoring Metrics
  • There will be a multiple-choice exam of 100 marks.
  • You need to acquire 60+ marks to clear the exam.
  • If you fail, you can retake the exam after one day.
  • You can take the exam no more than 3 times.
  • If you fail to acquire 60+ marks even after three attempts, then you need to contact us to get assistance for clearing the exam

Certification Benefits

  • Opens the world of excellent career opportunities in Big Data analytics.
  • Proves to be your competitive edge in interviews
  • Ramps up your career growth.
  • Improves your chances to get highly paid.

What you get?

  • Global Tech Council Certification
  • 24*7 Support for all your queries
  • Career guidance in big data analytics domain

CAREER FACTS

Top job functions

  • Business Development
  • Engineering
  • Information Technology
  • Operations
  • Sales


What does a Big Data Expert do?

Big data expert works closely with data, and make it informative by analyzing the data, which leads to business growth.

The Growth Curve ahead:
Big Data Analyst

Final Outcome

After completing this certification, you would have mastered the core concepts of Big Data that are commonly used across multiple industries to solve large-scale problems.

Success Stories