Professional certification in Big Data


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Awarding Body:
Big Data Hadoop
Duration & Study Mode:
Full time, Part time, Evening and Weekends, Virtual online
London, Flexible online
Duration: 5 Days / 5 Weeks

Big Data is a term that means a huge amount of data and Hadoop is an open-source framework from Apache that is used to run applications on the cluster. Without Big Data Hadoop training, you may learn very little about Big Data processing.

From this training, you will learn how Big Data is integrated with Hadoop. You will also learn the basic of Hadoop, Introduction of Hadoop Stack and HDFS (Hadoop Distributed File System) and how to use Map and Reduce process using Hadoop. After these basic techniques, this training program will take you to the topics like Scoop, PIG, YARN, Impala and Apache Hive technologies of Hadoop platform. You will also be able to learn design a real-world system using Hadoop platform, as well.


  • You must know the fundamentals of SQL and Database.
  • You should have a basic understanding of the Data Storage Concept.
  • You should know about the HDFS (Hadoop Distributed File System).
  • You must have a clear understanding of Data Warehouse and cloud storage infrastructure
  • It is required that you have fluency in at least one or more high-level programming languages like Python, Hive, etc.

What will you gain after this course

  • You will be considered as a professional data Science expert
  • You can shape the future of the business of the organization through predictive data analysis
  • You can wind up your job opportunities through these jobs.

Jobs you can get
with a Hadoop Certification

  • Data Science Specialist
  • Data Science Expert
  • Data Scientist
  • Data Analyst
  • Machine learning Engineer

Corporate Group Training

  • Customized Training
  • Onsite / Virtual
  • Instructor-led Delivery
  • For small to large groups

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Get a 10% discount

If you enrol two months in advance

Select your preferred training delivery mode

Who is this certification for?

  • Usually, programmers and computer engineers are more prone to participate in such training program.
  • Particularly those who are willing to work more with Big Data with Hadoop ecosystem will find this as the most appropriate training program for them.
Small Groups

With small groups of students, our instructors can work closely with each student.

Flexible Class Schedules

Our class schedules are flexible on weekdays, weekend, or evenings to suit your schedule.

Experienced Instructors

Our instructors follow a modified are personalized approach to engage students during class

Hi-Tech Lab Facilities

Our students can access our lab facilities anytime for practical experience during and after studies.


  • What is Big Data and where it is produced
  • Rise of Big Data
  • Compare Hadoop vs traditional systems
  • Limitations and Solutions of existing Data Analytics Architecture
  • Attributes of Big Data
  • Types of data
  • other technologies vs Big Data
  • What is Hadoop?
  • Hadoop History
  • Distributing Processing System
  • Core Components of Hadoop
  • HDFS Architecture
  • Hadoop Master-Slave Architecture
  • Daemon types -Name node, Data node, Secondary Name node.
  • What is Hadoop Cluster?
  • Pseudo Distributed mode
  • Type of clusters
  • Hadoop Ecosystem
  • Pig, Hive, Oozie, Flume, SQOOP
  • Overview of MapReduce Framework
  • MapReduce Architecture
  • Learn about Job tracker and Task tracker
  • Use cases of MapReduce
  • Anatomy of MapReduce Program
  • Basic MapReduce API Concepts
  • Writing MapReduce Driver
  • Mappers, and Reducers in Java
  • Speeding up Hadoop Development by Using Eclipse
  • Unit Testing Map
  • Reduce Programs, and Demo on word count example
  • What is Hive?
  • Hive vs MapReduce
  • Hive DDL - Create/Show/Drop Tables
  • Internal and External Tables
  • Hive DML – Load Files & Insert Data
  • Hive Architecture & Components
  • Difference between Hive and RDBMS
  • Partitions in Hive
  • PIG vs Map
  • Reduce PIG Architecture & Data types
  • Shell and Utility components
  • PIG Latin Relational Operators
  • PIG Latin: File Loaders and UDF
  • Programming structure in UDF
  • PIG Jars Import, limitations of PIG
  • Why and what is SQOOP?
  • SQOOP Architecture
  • Benefits of SQOOP
  • Importing Data Using SQOOP
  • Apache Flume Introduction
  • Flume Model and Goals
  • Features of Flume
  • Flume Use Case
  • What is HBase?
  • HBase Architecture
  • HBase Components
  • Storage Model of HBase
  • HBase vs RDBMS
  • Introduction to Mongo DB, CRUD
  • Advantages of MongoDB over RDBMS, Use case
  • Oozie – Simple/Complex Flow
  • Oozie Workflow
  • Oozie Components
  • Demo on Oozie Workflow in XML
  • What is Zookeeper
  • Features of Zookeeper
  • Zookeeper Data Model

When would you like to start?

Start Date TimingDaysDuration Mode Of TrainingAvailability Reserve Now
20/02/202110:00 – 17:00Sat Only5 WeeksClassroom / OnlinePlaces available Future Dates/Request Price
21/02/202110:00 – 16:00Sun Only5 WeeksClassroom / OnlinePlaces available Future Dates/Request Price
22/02/202110:00 – 17:00Mon - Fri5 DaysClassroom / OnlinePlaces available Future Dates/Request Price
23/02/202118:30 – 21:30Tue / Thu5 WeeksClassroom / OnlinePlaces available Future Dates/Request Price
06/03/202118:30 – 21:30Sat Only5 WeeksClassroom / OnlinePlaces available Future Dates/Request Price
08/03/202118:30 – 21:30Mon - Fri5 DaysClassroom / OnlinePlaces available Future Dates/Request Price
18:30 – 21:30Wed / Fri5 WeeksClassroom / OnlinePlaces available Future Dates/Request Price
18/03/202118:30 – 21:30Wed / Fri5 DaysClassroom / OnlinePlaces available Future Dates/Request Price
20/03/202118:30 – 21:30Sat Only5 WeeksClassroom / OnlinePlaces available Future Dates/Request Price
22/03/202118:30 – 21:30Mon / Tue5 WeeksClassroom / OnlinePlaces available Future Dates/Request Price
27/03/202118:30 – 21:30Sat Only5 WeeksClassroom / OnlinePlaces available Future Dates/Request Price
29/03/202118:30 – 21:30Mon - Fri5 DaysClassroom / OnlinePlaces available Future Dates/Request Price

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