Big Data Engineering

average rating is 4.6 out of 5

Lifelong Access

3456+ Learners

50+ Internship Partners

2 Live Projects

Assured Internship

Live Mentorship length

9 Hours

Mentor

Sanjoy Chowdhury

Program Chapters

Types of Data

This module discusses the typical sources of data - the legacy systems, ERPs, CRMs, server logs, call records data, social media, etc.\ It also talks about the different types of data and their structures. The module ends with a high-level introduction to Internet of Things (IoT) and why it is\ an important source of Big Data

Introduction to Big Data

Hadoop for Managing Big Data

This module has been divided into 4 sub-modules, each discussing an important concept of the Hadoop and MapReduce Programming Framework. It introduces the candidate to what is Hadoop and how does Hadoop support Big Data.

Batch Processing of Big Data - Pig

The module on Pig provides the learner with an understanding of what is 'batch' processing of data. It goes on to explain how Pig supports batch-processing of Big Data and some of the concepts of Pig

NoSQL Databases

NoSQL databases are a special class of databases for storing big data. This module discusses the types of NoSQL databases, their characteristics and typical applications

Live Projects + 2 Bonus

About the course

Become a big data analyst and start your journey in one of the highest paying industries of the 21st century!

Course Details

The course is developed around the typical Big Data Analysis architecture and would allow the candidates to tie-back the various components/eco-applications of Hadoop to this architecture which should provide them with a ""flavour"" of how industry-level applications are developed.\ The discussion starts with the different types of data that are available for analysis followed by the concepts of Big Data and Hadoop and why they go hand-in-hand. It then build on this concept to provide knowledge on various eco-applications of Hadoop to acquire, store and analyse Big Data - both in real-time and in batch-mode.

Learners from this course got placed in

GenZ, Wipro & 120 + companies

Job & Internship titles include

Data Scientist, Data Engineer, Data Analyst

Anchor 1

Overview

Chapters

Benefits

About Mentor

This program will enable you to

Understand The Different Sources Of Data In The Industry And Their Types And Characteristics

Develop Knowledge On What Is Big Data And Importance To Various Business Domains

Master The Components Of A Hadoop Cluster And Their Functionality

Develop In-Depth Understanding Of How Can Big Data Be Acquired, Stored And Used For Extracting Information, Both In Batch-Mode And In Real-Time, Using The Eco-Applications Of Hadoop

Gain Understanding Of A Typical Architecture Of Big Data System And How The Various Components

What's included?

2 Project Kit

Live projects provided by companies

Assured Internship

Internships accelerate your career

Certification of Program

Recognized by 10,000+ companies

Live Mentor Sessions

Not ordinary sessions, talk to our mentors

Lifetime Recorded Course

Flexibility of learning anywhere, anytime

What's exciting?

Live Mentor Sessions

Not just recorded sessions, our industry experts conduct 1:1 sessions to guide you as a guru

Expert Guided Projects

Our panel experts guide you to complete the projects with full effectiveness

Assured Internship

All platforms "Help", we "Assure" you internships in our partner companies.

Anchor 2

About the Mentor

Sanjoy Chowdhury

Director - Technology at MyLearnings Technologies

An alumnus of prestigious institutes like Virginia Tech (USA), Jadavpur University, Indian Institute of Management (Calcutta), with over 25 years experience in IT Architecting, implementing Big Data Analytics, Data Security, Enterprise Data Warehouse and Business Intelligence Solutions. Experienced in various business domains such as CRM, SCM, Clinical Trials, Banking, Manufacturing and ITSM. A lifelong learner with an innate ability to research new technologies, tools and methodologies as they emerge that may be applicable to Big Data/AI/BI Architecture. Passionate about sharing his knowledge and experience, he teaches & mentors individuals and start-ups working on Big Data Analytics and related technologies.