BDSCP Courses

Module 1
Fundamental Big Data

Foundational course that establishes a basic understanding of Big Data from business and technology perspectives, including common benefits, challenges and adoption issues.

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Module 2
Big Data Analysis & Technology Concepts

Explores contemporary analysis practices, technologies and tools for Big Data environments at a conceptual level, focusing on common analysis functions and features of Big Data solutions.

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Module 3
Big Data Analysis & Technology Lab

A hands-on lab providing a series of real-world exercises for assessing and establishing Big Data environments, and for solving problems using Big Data analysis techniques and tools.

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Module 4
Fundamental Big Data Analysis & Science

Essential coverage of Big Data analysis algorithms, as well as the application of analytics, data mining and basic mathematical and statistical techniques.

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Module 5
Advanced Big Data Analysis & Science

An in-depth course that covers the application of a range of advanced analysis techniques, including machine learning algorithms, data visualization and various forms of data preparation and querying.

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Module 6
Big Data Analysis & Science Lab

A case study-based lab providing a series of real-world exercises that require participants to apply Big Data analysis and analytics techniques to fulfill requirements and solve problems.

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Module 7
Fundamental Big Data Engineering

Focuses on the hands-on usage of the Hadoop and MapReduce framework, HDFS, Hive, Pig, Sqoop, Flume and NoSQL databases.

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Module 8
Advanced Big Data Engineering

Builds upon Module 7 to delve into advanced engineering, testing and debugging techniques, as well as the application of Big Data design patterns.

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Module 9
Big Data Engineering Lab

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Module 10
Fundamental Big Data Architecture

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Module 11
Advanced Big Data Architecture

 

Module 12
Big Data Architecture Lab

A hands-on lab during in which a set of real-world exercises challenge participants to build and integrate Big Data solutions within IT enterprise and cloud-based environments.

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Module 13
Fundamental Big Data Governance

Introduces Big Data governance frameworks, and covers the basics of governing high-volume, multi-source data and Big Data technology environments.

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Module 14
Advanced Big Data Governance

Steps through the Big Data lifecycle to cover specific precepts, processes and associated policies for regulating disparate bodies of data and Big Data solution environments.

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Module 15
Big Data Governance Lab

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