Ementorhub

What you'll learn

Understanding and identifying use cases and domains of Big Data problems

Selecting and implementing technical solutions involving Big Data systems

Develop and use various open source software systems (Apache) in the Big Data tech stack

Operate and run various cloud computing software services (AWS) in the Big Data infrastructure space

Skills you'll gain

NoSQL

Apache Kafka

Apache Spark

Data Lakes

Database Management Systems

Databases

Data Architecture

Big Data

Scalability

Data Processing

Distributed Computing

Apache Hadoop

Apache Hive

Apache Cassandra

Real Time Data

Software Design Patterns

MongoDB

Data Management

Data Infrastructure

There are 9 modules in this course

We start with an introduction to the characteristics of big data and an overview of the associated technology landscape and continue with an in depth exploration of Hadoop, the leading open source framework for big data processing. Here the focus is on the most important Hadoop components such as Hive, Pig, stream processing and Spark as well as architectural patterns for applying these components. We continue with an exploration of the range of specialized (NoSQL) database systems architected to address the challenges of managing large volumes of data. Overall the objective is to develop a sense of how to make sound decisions in the adoption and use of these technologies as well as economically deploy them on modern cloud computing infrastructure.

Module 2: Apache Hadoop Overview

Module 3: Apache Hadoop MapReduce

Module 4: Apache Spark (Part 1)

Module 5: Apache Spark (Part 2)

Module 6: Big Data Streaming and Design Patterns

Module 7: NoSQL Database

Module 8: Key-Value, Wide-Column & Document Stores

Summative Course Assessment