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Data Virtualization
Data Virtualization - online training course
 
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3-hour Online Course by Dave Wells
Single-user access license
Our Price: $285.00
Sale Price: $235.00

Product Code: DI-02-A


Course Exam [Add $80.00]

Description Course Outline Exam Details
 

The work of data integration has become increasingly complex in recent years. Business needs for real-time and low latency data, expanded uses of unstructured data, and accelerated interest in big data analytics are but a few of the trends that change the data integration landscape. Extract-transform-load (ETL) processing was sufficient for the once relatively simple task of combining data from multiple transactional databases was to build a data warehouse, operational data store, or master data hub. Today’s data integration challenges go well beyond the capabilities of ETL technologies with needs to integrate enterprise data with external data, Web data, clickstream data, end-user data, big data, cloud data, and more. To meet these new requirements, data integrators need more tools in the integration toolbox. Data virtualization doesn’t replace ETL; it complements ETL and offers new tools to meet new integration needs.

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Data virtualization is a core component of next-generation data integration architectures, techniques, and technology. This online training course will introduce you to the concepts, techniques, and capabilities of data virtualization. It will prepare you to expand your data integration capabilities, deliver business-speed information, and make the most of recent advances in data integration technology.

You will learn:
  • Data virtualization definitions, concepts, and terminology
  • Business case and technical rationale for data virtualization
  • Foundational principles of virtualization – abstraction, views, and services
  • How to extend the data warehouse with virtualization
  • How virtualization is applied for unstructured data, big data, and cloud data challenges
  • How to mix and match virtualization with ETL technology to optimize data integration architectures and processes
This course is geared towards:
  • BI, MDM, and data warehousing program and project managers
  • Data integration architects, designers, and developers
  • Data and technology architects

Average Customer Review: 5 of 5 Total Reviews: 6 Write a review.

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Course Review March 31, 2017
Reviewer: Michel Verheijen  
Good overview, but some parts need to be updated. E.g. the Forrester diagram is from 2012. Some slides are about the product Composite which was acquired by Cisco in 2013 and is now called "Cisco Data Virtualization".

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Course Review March 30, 2017
Reviewer: Daniel Gunter  
I recommend including a transcript of the lecture. Had to repeat many slides many times to capture what the instructor was saying. This more than tripled the time to cover the material.

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  0 of 0 people found the following review helpful:
 
Course Review June 16, 2016
Reviewer: Abdellah Lahouaoui  
Truly of value. I did learn lots of thing that I already do, but was not aware of in the context in an data architecture. Great content, thanks.

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Course Review June 9, 2016
Reviewer: Andria Barber  
I'm new to Virtualization, so this was a tough course for me.  I will not be surprised if I have to visit this one again!  :)

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Very informative May 30, 2014
Reviewer: Angus McEachen from USA  
The course offered some new insights and ideas that I can use. I would have liked to have seen some examples of DV in action at the implementation level - for example, real portal screens with DV implemented behind the scenes.

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