Big Data Developer

Hadoop big data

Become a “Big Data Certified Developer” by gaining a hands-on experience on processing huge amounts of data with multiple tools and technologies.

Hadoop Big Data Certification Program

This is the place to sharpen your technical knowledge to the fullest and further emerge as a professional Big Data Developer and apply your skills across different domains like health care, retail, manufacturing.

Learn tools to Store, Manage, Process and Analyse large data sets:

Our Hadoop bigdata training course is efficiently framed to assist the participants to understand all the core concepts of the Big Data and giving a comprehensive introduction to Hadoop and its ecosystem components. This course further covers the core concepts on how to use Hadoop (CLASSIC and YARN) and Apache softwares like Hive, Spark, Pig, HBase, Zookeeper, Flume, Oozie, Sqoop, Cassandra and Mongo.

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Latest Course Details

Course Details

After the successful completion of this course, you will gain expertise in:

  1. Identifying what Big Data is and its significance in the present market.
  2. Determine how Big Data can be considered as an exceptional replacement of the traditional systems.
  3. Understanding the core components of Big Data
  4. Knowledge of different distributed computing program models and their usage.
  5. Understand how the NoSQL database performs exceptionally well when compared with others.
  6. Knowledge on developing, debugging, optimizing and deploying the various Big Data programs like Map Reduce, Spark, Pig and Hive.
  7. Understanding the concepts related to Big Data Administration.
  8. Understanding what Cloud is, and, the procedure for deploying the Cloudera Cluster in the Amazon Cloud.

The course helps Hadoop Big Data Developer aspirants with current designations as Software Developers, Data Warehouse Developers, IT Engineers, Data Analysts, Java Architects, Technical Consultants and also the students and professionals who have the passion of building their career in Hadoop and Big Data and lot more.

Instructor Led training 32 Hrs
Instructor Interaction Yes
Live Support Post Training 1 Year
Simulated Projects 1
Access to Virtual Machine Life Time
Access to Kovid Cluster 3 Years
Capstone/Hands On/Real Time Project 2
Kovid Academy Big Data Developer Certificate Yes
30 CEU/PDU certificate Yes

Module 1: Introduction

  • What is Big Data?
  • Use Cases
  • Distributed Computing and Storage

Module 2: More of Big Data

  • Career Paths
  • Linux Introduction

Module 3: HDFS

  • Use Case
  • Architecture
  • Interfaces
  • Featuresr

Module 4: Big Data Ecosystem

  • Sqoop
  • Oozie
  • ZooKeeper
  • Neo4J
  • Mongo
  • Cassandra

Module 5: Hadoop 1x and 2x

  • Architecture /li>
  • Features

Module 6: MapReduce Programs

  • Developing
  • Debugging
  • Optimizing
  • Deploying

Module 7: Spark

  • Architecture
  • Features
  • Developing
  • Debugging
  • Optimizing
  • Deploying

Module 8: Hive

  • Use Case
  • Architecture
  • Interfaces
  • Features

Module 9: Pig

  • Use Case
  • Architecture
  • Interfaces
  • Features

Module 10: NoSQL

  • Getting started
  • Different types of NoSQL
  • RDBMS vs NoSQL
  • Introduction to Columnar Databases

Module 11: HBase

  • Use Case
  • Architecture
  • Interfaces
  • Advanced features

Module 12: Projects

  • Simulated
  • Real Time
apache apex

Real Time Processing With Apache Storm

Upgrade the art of programming by choosing ‘Apache Storm’ as your colossal weapon for processing the stream of Big Data, which is hastily generated.

Apache Kafka

Getting Started With Kafka

Tune your skills with Apache Kafka – the next generation distributed messaging system, and nurture your career as a Professional Kafka Big Data Developer.

mongodb big data

Mongo Db Dev & Adm

Abstain yourself from using the traditional RDBMS, give your applications the massive power of MongoDB by storing the data in a document-oriented fashion.

Big Data Hadoop Developer Training & Certification

Big Data Administration

Take this course to catapult your expertise to “job-ready”with hands-on practice in Hadoop cluster administration, single and multi-node cluster set up as

What are the Prerequisites if any for this course?

Basic knowledge of Core Java, Linux, SQL and Eclipse are required. Good analytical skills

What support is provided for the prerequisites preparation?

Basic concepts of Linux will also be covered in this course and the amount of time spent on the prerequisites will vary for every participant. Good references for Java, SQL and Eclipse are shared with the participants to get started with these topics and their own pace.

What are the total training hours?

The duration of the course is 48 hours, which will take approximately 6 – 7 weeks. (Note: The duration may vary with respect to the interaction level of the participants)

What are the details of any projects/assignments worked on?

After completion of every module, the participant needs to undertake an assignment and it will be evaluated at the same time. Depending upon the level of understanding of the participant, effective training measures will be taken off. As a part of training curriculum, participants will also undertake a couple of the projects.

What are the training material provided?

Materials and other references will be provided for all the modules covered in this course. Furthermore, all the online training sessions of the participant will be recorded and made available in the LMS, which can be used for participant’s future reference.

What are the system requirements for participants?

It is recommended that the participants should have a i3 or higher range processor with virtualization support minimum of 4 GB RAM (8 GB RAM is recommended), 64-bit operating system and about 100 GB of free hard disk space.

Is Certification offered and if so, how do you earn?

At the end of the training, all the participants will undergo a certification examination and after the successful completion of the examination, Certificates will be issued to the participants.

How many hours is a student expected work?

It depends upon the knowledge and prior experience of the participant and most importantly on the interaction level that the participant exhibits during the course of training. For instance, let us consider that the training is for 10 hours, then the participant is required to spend an additional of 20 more hours (approximately).