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Big Data Architect Training

Big Data Architect Training
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USD $3,883.69 with Exam Vouchers




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Overview
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:

  • Fundamental Terminology and Concepts
  • Basic Big Data Analytics
  • Big Data and Traditional Business Intelligence and Data Warehouses
  • Common Analysis and Analytics Techniques
  • Automated Recommendation, Classification, Clustering
  • Machine Language, Natural Language, Semantics
  • Big Data Technology Mechanisms
  • Big Data Storage (Query Workload, Sharding, Replication, CAP, ACID, BASE)
  • Big Data Processing
  • 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 workshop:

  • Workshop Materials - A list of the materials and text books that are included in the registration fee.
  • Agenda - The individual courses are briefly described and links to full course outlines are provided.
  • Schedule
  • Registration information regarding the cancellation policy.
  • Location Details regarding the planned location of the workshop.
  • Exams and Certification - An explanation of how to take exams and get certified upon completion of the workshop.

 

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

Agenda

Day 1 / Module 1 (9:00 AM - 4:00 PM / Monday)

Fundamental Big Data

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

The following primary topics are covered: 

•Fundamental Terminology and Concepts
•A Brief History of Big Data
•Business Drivers that Have Led to Big Data Innovations
•Characteristics of Big Data•Benefits of Adopting Big Data
•Challenges and Limitations of Big Data
•Basic Big Data Analytics
•Big Data and Traditional Business Intelligence and Data Warehouses
•Big Data Visualization
•Common Adoption Issues
•Planning for Big Data Initiatives
•New Roles Introduced by Big Data Projects
•Emerging Trends

Day 2 / Module 2 (9:00 AM - 4:00 PM / Tuesday)
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.

The following primary topics are covered:

•The Big Data Analysis Lifecycle (from dataset identification to integration, analysis, and visualization)
•Common Analysis and Analytics Techniques•A/B testing, Regression, Correlation, Text Analytics
•Sentiment Analysis, Time Series Analysis
•Network Analysis, Spatial Analysis
•Automated Recommendation, Classification, Clustering
•Machine Language, Natural Language, Semantics
•Data Visualization and Visual Analysis
•Assessing Hierarchies, Part-to-Whole Relationships
•Plotting Connections and Relationships, Mapping Geo-Spatial Data
•Foundational Big Data Technology Mechanisms
•Big Data Storage (Query Workload, Sharding, Replication, CAP, ACID, BASE)
•Big Data Processing (Parallel Data Processing, Distributed Data Processing, SharedEverything/Nothing Architecture, SCV)

Day 3 / Module 10 (9:00 AM - 4:00 PM / Wednesday)
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)

Day 4  / Module 11 (9:00 AM - 4:00 PM / Thursday)
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

Day 5 / Module 12 (9:00 AM - 4:00 PM / Friday)
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. The Certified Trainer works closely with participants to ensure that all exercises are carried out completely and accurately. Attendees can voluntarily have exercises reviewed and graded as part of the class completion. 

 


Workshop Materials
The following materials will be provided to attendees of the entire workshop:

  • Big Data Fundamentals (eBook)
  • Full-colour course booklets
  • Mind-map posters

Schedule

  • Training starts at 9:00AM and we aim to finish around 4:30PM each day.
  • Breaks are scheduled at 10:30AM, 12:00 noon and 2:30PM but the exact times will be determined by the trainer.
  • The course is fully catered for; Morning Tea, Lunch and Afternoon Tea are provided.

Registration

  • Please select your preferred location from the options and select whether you'd like Exam Vouchers then follow the registration process.
  • Alternatively, you can e-mail info@silverplatypus.com and request a quote or an invoice
  • We do offer private workshops for companies that want to hold workshops specifically for their employees, please contact us directly for a discussion or quote.
  • Accepted payment methods include Invoice, Wire Transfer, Credit Card (Amex, Visa, Mastercard) and Paypal.

Cancellation

Please see our cancellation policy.


Location

Please select the relevant city from the choices provided. The exact address of the workshop will be provided closer to the workshop date.


 


Exams & Certification

  • You are not required to complete exams to attend this workshop. Exams only need to be completed by those interested in attaining certification credit.
  • All workshop attendees are issued an official "Certificate of Completion" for this workshop.
  • 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 workshop instructor will stay after each course day to provide any necessary exam preparation and tutoring assistance.
  • 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.

Trainers are yet to be detailed.


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