Big Data Architecture Course (3 Modules)

The Big Data Architecture course is comprised of three modules that delve into design techniques, technology architecture models and patterns associated with building and integrating Big Data solutions within enterprise and cloud environments.

Each module has a set of lessons and is further supplemented with exercises and practice questions to help reinforce your understanding of key topics. Completing this course also prepares you for the official certification exam, as explained on the Big Data Architect Certification page.

Further resources are available to assist you with the completion of this course and preparation for the certification exam. These include downloadable digital course PDFs, printed course materials that can be shipped to your location, as well as coaching and instructor-led training services available by Arcitura and its training partner network. You can purchase coaching time on an hourly basis and instructor-led training workshops are available for individuals and groups.

This course is available via two separate eLearning platforms, each of which has different features and benefits. Upon clicking the Enroll button, you will be able to choose the eLearning option that works best for you.

Contact [email protected] with any questions.

Program: Next-Gen Data Science Academy

Prerequisites: Big Data Analytics & Fundamental Data Science

Duration: 30 hours

Price: from $29

Corresponding Certification:
Big Data Architect

Inquire About Instructor-Led Training for Your Team

Workbook Lessons

Video Lessons

Reference Posters

Interactive Exercises

Graded Self-Test

Completion Certificate

Course Modules

MODULE 16 | Fundamental Big Data Architecture
Provides coverage of the Hadoop stack, data pipelines and Big Data technology architecture layers, mechanisms and components, as well as associated design patterns for building and integrating Big Data solutions.

MODULE 17 | Advanced Big Data Architecture
Provides a drill-down of Big Data solution environments, architectural models and layers, and additional advanced design patterns. Also covered are cloud-based implementations and enterprise integration considerations, as well as topics pertaining to storage, processing and security.

MODULE 18 | Big Data Architecture Lab
Provides a series of exercises and problems designed to test your ability to apply your knowledge of topics covered in previous course modules. Completing this lab will help highlight areas that require further attention and will further help prove proficiency in building and integration Big Data solutions within IT enterprises and cloud-based environments.