NoSQL Essentials (NSE)

What Our Learners Say
Nithish Rao Sivakumar
Nithish Rao Sivakumar
ramachandran R
ramachandran R
Madhumithra Ramesh
Madhumithra Ramesh
Got an hands on experience in digital transformation especially on new trending and revolutionary technologies like AI,ML,Cyber security, IOT, Big data analytics, etc...
ajith v
ajith v
nice experience and learned a more detailed knowledge
18 udhay babu 4304
18 udhay babu 4304
Great place to learn
Siva Ram
Siva Ram
Aathisankar V
Aathisankar V
I learnt Digital transformation course which is very iseful
Google User
Google User
Nice session and very interactive staff
Thanga Tamil Amudhan
Thanga Tamil Amudhan
Prince R
Prince R
Ashoka Ganesan
Ashoka Ganesan
Gopinath Ariputheran
Gopinath Ariputheran
The course was good and helpful
Sivakumar B
Sivakumar B
R.P Sudharsanam
R.P Sudharsanam
Karthikka Sureshbabu
Karthikka Sureshbabu
The Lecture class was good and the lecturer is also expert in the topic
Annamalai Kasi
Annamalai Kasi
siva dharshini
siva dharshini
Shruthi Kulathu
Shruthi Kulathu

Upcoming Batches
Schedule Time (SGT / UTC +8) Sessions Date
Full-Time 9:30am to 5:30pm
5-Sessions 8 to 12 Nov | 10 to 14 Jan | 14 to 18 Mar
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Course Information
  • Duration: 5 Day / 40 Hours

  • Certification: Participants will receive a Certificate of Competency upon successfully completing the course and passing the examination

  • Who Should Attend: CIO, CTO, CISO, Information Specialist, Data Analysis, Data Scientist, Information Analysis, Marketing, HR, and Anyone interested in acquiring the advanced knowledge and skills in Big Data and NoSQL.
Course Objective

• Acquire the essential knowledge on Big Data, and NoSQL and its application in organizations.

Learn the different NoSQL databases, HBase, Cassandra, Redis Fit, and Hadoop Distributed File System


No prior experience or technical knowledge required


Participants are required to attempt an examination of course to test students’ knowledge and skills related to BigData, NoSQL, and HDFS based on the syllabus covered.

Module 1 Introduction to NoSQL

Topics Covered
  • Overview on NoSQL
  • Consistency vs Availability
  • Atomicity, Consistency, Isolation and Durability (ACID) in NoSQL
  • CAP Theorem
  • BASE
  • Hash vs. Range Partition
  • In-place Updates verses Appends
  • Row vs. Column vs. Column-Family Storage Models
  • Strongly versus Loosely Enforced Schemas
Module 2 Introduction to Big Data

Topics Covered
  • What is Big Data?
  • Types and Sources of Big Data
  • Understanding Big Data Mining
  • Technical Specifications of a Big Data Platform
  • Big Data with Hadoop
Module 3 Processing Data with Hadoop and MapReduce

Topics Covered
  • Fundamentals of Hadoop
  • Hadoop Architecture and Deployment
  • What is Hadoop Distributed File System (HDFS)
  • The Hadoop Ecosystem
  • YARN Architecture
  • Overview on MapReduce
  • Understanding MapReduce Framework and Architecture
  • Inputting Splits in MapReduce
Module 4 Working with Hive

Topics Covered
  • Introduction to Hive
  • Common Hive Datatypes (Array, Map, Struct)
  • Hive Functions (Collection, Conditional, String, Data, Mathematics)
  • Joins, Multi Joins and Map Side Joins in Hive
  • Working with Parquet and Fixed File Format
  • Partitioning and Bucketing
  • Hive Windows Function
  • Sqoop Import and Export
Module 5 HBase

Topics Covered
  • HBase Overview
  • HBase Architecture
  • Reads and Write with HBase
  • System Trade-Offs
  • Logical and Physical Data Models
  • Interaction with HBase using HBase Shell
  • Interacting with HBase using HBase Client API
Module 6 Apache Cassandra

Topics Covered
  • Introduction to Cassandra
  • Key Components of Cassandra
  • Understanding Cassandra Architecture
  • Cassandra Anti-patterns
  • Hardware Selection, Configuration and Installation in Cassandra
  • Node Configuration in Cassandra
  • Running Cassandra
  • Working with Cassandra
Module 7 Redis

Topics Covered
  • Introduction to Redis
  • Data Storage in Redis
  • Installing, Configuring and Tuning Redis
  • Data Types in Redis (Sets, Sorted Sets, Bitmaps, HyperLogLogs)
  • Building Foundation, Optimizing with Hashes, Adding Uniqueness
  • Commands in Redis
  • Security Techniques for Redis
  • Persistence, Replication, Partitioning, Automatic Sharding
  • Redis Cluster and Redis Sentinel
Module 8 MongoDB

Topics Covered
  • Introduction to MongoDB
  • Installation and Configuration of MongoDB
  • MongoDB Data Types
  • Data Models in MongoDB
  • MongoDB Indexing
  • Replication and Sharding in MongoDB
  • Storing of Large Data in MongoDB

NoSQL Essentials (NSE) involves rigorous usage of real-time case studies, hands-on exercises and group discussion

What Past Participants Say
The examples and cases shared in class are delivered in a clear, structured and easy to understand manner. It provide me with confidence to kickstart my own Machine Learning project.

Falhuddin Bin Nurdin

This course provide me with the detailed information required and essential tips how to explore more into the subject. The trainer is very helpful throughout the course. With his encouragement, I can understand the topics with ease even when I am not experience in programming.

Shalini Karthik


Customization of Programs for specific industry, organisation, government agencies, statutory boards.

Flexible programmes designed to cater to the individual needs of participants, whether for professional upskilling, or for general interest.

Benefit from contribution from leading Industry Experts, Academics, and Researchers from across the world.

Opportunities for employers to develop their workforce and for individuals to enhance their career.

Dynamic learning environment that providing participants with professional networking opportunity.

Online support for participants after the training.

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