AlphaZetta Academy

Agile Data Management Architecture

This full-day workshop examines the trends in analytic technologies, methods, and use cases. The implications of these developments for deployment of analytic capabilities will be discussed with examples in future architecture and implementation. This workshop also presents best practices for deployment of next generation analytics.
A true enterprise data foundation needs to export decision-making capabilities throughout an organization. This course discusses the use of Microservices to deploy decisioning services both within an organisation and to users outside of traditional organisational boundaries. We will also explore emerging trends related to extended analysis using content from Web 3.0 applications and other non-traditional data sources. You will learn about:

  • Interactive analytics using in-memory, columnar, and other emerging database technologies.
  • Analytics in the cloud.
  • Agile analytics deployment methods with integrated sandboxes
  • Leveraging open source technologies such as Hadoop, R, Spark, and other new generation opportunities.
  • NoSQL and NoETL analytic architectures.
  • Organisational skill set requirements for data scientists and beyond.
  • Agile analytics using best practices in data visualisation.

More testimonials below.

Early bird pricing is available until 2 weeks prior.

This is an AlphaZetta public course – group discounts are available and also apply during the Early bird period (up to 2 weeks prior): 5% for 2–4 people, 10% for 5–6 people, 15% for 7–8 people, and 20% for 9 or more people. Discounts are calculated during checkout.

Course Booking Terms and Conditions

Additional Information

Audience Expert –  architects, BI analysts, and data scientists interested in learning to use advanced analytic techniques to find insights in data and who have at least some scripting experience.
Prerequisites Students should have completed or have equivalent knowledge to the course Data Literacy for Everyone.
Objectives
  • Learn how emerging analytic technology trends will affect the deployment of analytic capabilities
  • Learn best practice techniques for deploying agile data warehousing
  • Learn about emerging trends for extended analysis using content from web 3.0 applications
Format Workshop
Duration 1 day
Trainer Stephen Brobst
Delivery Method In-person at AlphaZetta Academy locations or on-premise for corporate groups

Meals and refreshments

Catered morning tea and lunch are provided on both days of the course. Please notify us at least a week ahead if you have any special dietary requirements.

Feedback

Use academy@alphazetta.ai to email us any questions about the course, including requests for more detail, or for specific content you would like to see covered, or queries regarding prerequisites and suitability.

If you would like to attend but for any reason cannot, please also let us know.

Variation

Course material may vary from advertised due to demands and learning pace of attendees. Additional material may be presented, along with or in place of advertised.

Cancellations and refunds

You can get a full refund if you cancel 14 days or more before the course starts. No refunds will be issued for cancellations made less than 14 days before the course starts.

Frequently asked questions (FAQ)

Do I need to bring my own computer?

There’s no need to bring your own laptop or PC. Our courses take place in modern, professional training facilities that have all the computing equipment you’ll need.

Private and Corporate Training

In addition to our public seminars, workshops and courses, AlphaZetta Academy can provide this training for your organisation in a private setting at your location or ours. Please enquire to discuss your needs.

Enquire Now

Scheduled Public Courses

Private and Corporate Training

In addition to our public seminars, workshops and courses, AlphaZetta Academy can provide this training for your organisation in a private setting at your location or ours. Please enquire to discuss your needs.

Enquire Now

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