Advanced Executive Program in Big Data Engineering

Linux Fundamentals

SQL Essentials

Java Essentials for Big Data

Pre-requisites Test

Introduction to Big Data, Data Structures and Algorithms

Non-linear Data Structures for Big Data

Designing High Performant Distributed Algorithms

Tool Stack Options for Big Data

Doubt Clearing Session 1

Additional Resources

Question Bank

Background of Distributed and Parallel Computing Systems

Hadoop - A Distributed and Highly Scalable Computing Platform

Storing Big Data in a Distributed Cluster- HDFS

Advanced HDFS Concepts

MapReduce Computational Model

Doubt Clearing Session 2

Scala Essentials for Spark – I

Scala Essentials for Spark – II

In-memory Computation for Big Data

Advanced RDDs Concepts in Spark

Doubt Clearing Session 3

Advanced MapReduce Concepts (Self-Paced)

Additional Resources

Question Bank

Introduction to RDBMS

Storing, Handling & Managing Data in Relational Database

SQL Like Query Processing Engine for Big Data- Hive

Advanced Hive Concepts

Relational Data Processing with Spark: SparkSQL and DataFrames

Handling Heterogeneous Data with NoSQL

Exploring Column Based NoSQL Database- HBase

Working with NoSQL Database Cluster- Apache Cassandra

Deep Diving into Apache Cassandra

Additional Resource I

Additional Resource II

End Course Test

Question Bank

Mid-Program Project - 1

Introduction to Data Warehousing

Large Scale Data Ingestion Using Sqoop

Performing ETL Using Hive

Building Robust ETL Pipeline with Spark

Workflow and Job Scheduling – I

Workflow and Job Scheduling – II

Question Bank

Working with Streaming Data

Streaming Data Processing With Spark

Low Latency and Real-Time Data Processing with Kafka – I

Low Latency and Real-Time Data Processing with Kafka – II

Building Streaming Data Pipeline Using Kafka, Spark & NoSQL

Building Scalable Data Pipeline using Kafka Connect & Streams API (Self-Paced)

Question Bank

Mid-Program Project - 2

Introduction to Big Data Analytics

Feature Engineering and Collaborative Filtering using SparkML

Advanced Analytics using SparkML - Supervised Learning - I

Advanced Analytics using SparkML - Supervised Learning - II

Advanced Analytics using SparkML - Unsupervised Learning

Data Visualization using Tableau (Self-Paced)

Question Bank

Introduction to Data Governance

Fundamentals of Data Security

Securing Data in Big Data Platforms

Data Governance and Security in Cloudera Distribution

Question Bank

Industry Projects

Interview Preparation Question Bank