Big Data exploitation has the potential to revolutionise the analytic value proposition for organisations that are able to successfully harness these capabilities. However, the architectural components necessary for success in Big Data analytics are different than those used in traditional data warehousing. This workshop will provide a framework for Big Data exploitation along with recommendations for architectural deployment of Big Data solutions.
We will discuss tools and frameworks such as MapReduce, Hadoop, SQL++, Sqoop, etc. along with approaches to successfully deploy advanced technologies in this arena. The importance of the NoSQL and NoETL paradigms will be described along with the implementation techniques for realising the advantages of these capabilities. We will explain which use cases are appropriate for which components of a Big Data ecosystem and how to architect inter-operability among the various technology platforms used in a best practices implementation. Our approach emphasises the ability to quickly take advantage of emerging Big Data technologies with maximum leverage of existing sill sets and assets within an enterprise.
Discounts
Face to face public courses: early bird pricing is available until 2 weeks prior. Group discounts: 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.
Online public courses: available at a 25% off the face-to-face courses as a special introductory price. to groups or to individuals who want to follow a curriculum program and attend multiple courses:
- 2-4 courses/attendees 10% off
- 5+ courses/attendees 20% off
Hurry as bookings will close 1 week before each course. Group discounts are calculated during checkout on individual courses. Individuals can book multiple courses at a discount – please enquire.
Additional Information
Audience | C-Suite, Management, Business, 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 |
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Format | Workshop |
Duration | 1 day |
Trainer | Stephen Brobst |
Delivery Method | In-person at AlphaZetta Academy locations or on-premise for corporate groups |
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, or online. Please enquire to discuss your needs.
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, or online. Please enquire to discuss your needs.