The following course modules are available via private on-site and public instructor-led workshops. The course materials further supplemented with study guides and audio study aids are also available via self-study kits.

Module 1: Fundamental Big Data

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.

[ outline ]

Module 2: Big Data Analysis & Technology Concepts

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.

[ outline ]

Module 3: Big Data Analysis & Technology Lab

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.

[ outline ]

Module 4: Fundamental Big Data Analysis & Science

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.

[ outline ]

Module 5: Advanced Big Data Analysis & Science

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.

[ outline ]

Module 6: Big Data Analysis & Science Lab

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.

[ outline ]

Module 7: Fundamental Big Data Engineering

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.

[ outline ]

Module 8: Advanced Big Data Engineering

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.

[ outline ]

Module 9: Big Data Engineering Lab

Module 9
Big Data Engineering Lab

A hands-on lab during which participants carry out a series of exercises based upon the tools and technologies covered in preceding course modules.

[ outline ]

Module 10: Fundamental Big Data Architecture

Module 10
Fundamental Big Data Architecture

Coverage of the Hadoop stack, data pipelines and other technology architecture layers, mechanisms and components, and associated design patterns.

[ outline ]

Module 11: Advanced Big Data Architecture

Module 11
Advanced Big Data Architecture

Drill-down of Big Data solution environments, additional advanced design patterns and coverage of cloud implementations and various enterprise integration considerations.

[ outline ]

Module 12: Big Data Architecture Lab

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.

[ outline ]

Module 13: Fundamental Big Data Governance

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.

[ outline ]

Module 14: Advanced Big Data Governance

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.

[ outline ]

Module 15: Big Data Governance Lab

Module 15
Big Data Governance Lab

A hands-on lab during which participants are required to work with Big Data governance precepts, processes and policies to address a series of real-world governance concerns.

[ outline ]

Pearson VUE Exams

A self-study kit is available for each Pearson VUE exam: www.pearsonvue.com/arcitura/

Self-Study Kits

A self-study kit is available for each Pearson VUE exam, allowing you to study remotely and at your own pace. For information about the latest available Self-Study Kits, visit the Self-Study page.

Instructor-Led Workshops

The following public workshops are currently scheduled. Additional workshops are often added on short notice. For information regarding private instructor-led workshops delivered to your location, contact: info@arcitura.com