Big Data Architect Add-on

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USD $566.29 $283.14 eLearning Kit Only

Have you completed any other Big Data course from our selection? If so, this upgrade kit will allow you to extend your knowledge without having to repeat the first two modules.

Big Data is big business. There are quintillion bytes of data being generated every day. While companies are using Big Data Science to sift through this avalanche of data and find the information that is relevant to the needs of the company, it is the role of the IT Professionals to build the architecture that supports this process. In this course, you will learn the mechanisms, approaches and design patterns that are used to architect Big Data solutions.

 

Intended for
IT Professionals, Solution Architects, Enterprise Architects, Big Data specialists


 

Pre-requisites
An understanding of IT concepts and IT architecture is required for this course.


 

Learning Outcomes

A comprehensive understanding of the approaches, design patterns and the mechanisms that are essential for architecting Big Data systems. Some of the topics covered include:

  • New Big Data Mechanisms
  • Enterprise Data Warehouse and Big Data Integration Approaches
  • Architectural Big Data Environments
  • Cloud Computing & Big Data Architectural Considerations
  • Big Data Solution Architectural Layers
  • Big Data Solution Design Patterns
  • Big Data Architectural Compound Patterns

And more


 In the Details tab you can find more information about this eLearning Kit

 

Note: All quoted pricing is excluding GST. For customers in Australia GST will be added during the check-out process.

 

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.

The following primary topics are covered:

•New Big Data Mechanisms, including Security Engine, Cluster Manager, Data Governance Manager, Visualization Engine and Productivity Portal
•Data Processing Architectural Models, including Shared-Everything and SharedNothing Architectures
•Enterprise Data Warehouse and Big Data Integration Approaches, including Series, Parallel, Big Data Appliance and Data Virtualization
•Architectural Big Data Environments, including ETL, Analytics Engine and Application Enrichment
•Cloud Computing & Big Data Architectural Considerations, including how Cloud Delivery and Deployment Models can be used to host and process Big Data Solutions (and resulting issues and risks)

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.

The following primary topics are covered:

•Big Data Solution Architectural Layers including Data Sources, Data Ingress and Storage, Event Stream Processing and Complex Event Processing, Egress, Visualization and Utilization, Big Data Architecture and Security, Maintenance and Governance
•Big Data Solution Design Patterns, including patterns pertaining to Data Ingress, Data Wrangling, Data Storage, Data Processing, Data Analysis, Data Egress, Data Visualization and more
•Big Data Architectural Compound Patterns

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.

This course module covers a series of exercises and problems designed to test the participant’s ability to apply knowledge of topics covered previously in course modules 10 and 11. Completing this lab will help highlight areas that require further attention, and will further prove hands-on proficiency in Big Data architecture practices as they are applied and combined to solve real-world problems.

As a hands-on lab, this course incorporates a set of detailed exercises that require participants to solve various inter-related problems, with the goal of fostering a comprehensive understanding of how different data architecture technologies, mechanisms, and techniques can be applied to solve problems in Big Data environments. 

 


Exams & Certification

  • Those that pass the exams required for the Certified Big Data Architect designation will receive official certificate for this designation and will have access to the benefits associated with this certification.
  • The exams required for certification can be taken at any Pearson VUE testing center in the world or online via Pearson VUE Online Proctoring.

 

Note: All quoted pricing is excluding GST. For customers in Australia GST will be added during the check-out process.



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