Thursday, March 3, 2016

#FREE Transitioning from Data Warehousing to Big Data #IT #Hadoop

Big data and analytics have brought an entirely new era of data-driven insights to companies in all industries. Fortunately, those skilled in traditional business intelligence (BI) and data warehousing (DW) represent a fantastic pool of resources to help businesses adopt this new generation of technologies. This course will quickly educate BI/DW professionals in the key aspects of big data and analytics, including its evolution over the last two decades. Alan Simon shows how to take advantage of new architectures and technologies, such as Hadoop, and build on what you already know to plan a roadmap to a better big data solution for your business.

LEVEL Intermediate

COURSE TOPICS:

Exploring big data, Hadoop, and analytics
Examining the shortcomings of traditional data warehousing
Comparing big data architectures for next-generation data warehousing
Understanding alternatives
Building a roadmap
Managing big data-driven projects
Monitoring and measuring success

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LEARN THIS COURSE FOR FREE *10 days of free unlimited access to “Transitioning from Data Warehousing to Big Data”

Instructor’s Welcome Note:

– I’m Alan Simon and welcome to Transitioning Data Warehousing to Big Data. In this course, we’ll look at how all of the exciting and extremely powerful Big Data and Analytics Technologies are transforming our long standing approaches to building data warehouses and delivering business intelligence to business users. I’ll start by exploring the evolution of data warehousing and business intelligence over the past two decades. I’ll explore several different ways that companies can build a new generation of data warehouses to take advantage of the power and flexibility of big data technology, specifically an environment called Hadoop.
We’ll see how you can determine exactly what your organization needs to accomplish in today’s era of data driven decisions and actions and how to build on what you already know about data warehousing and business intelligence to make your organization’s transition that much easier. Now, let’s get started with transitioning data warehousing to big data.

 

 

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