Accelerating Data Warehouse Modernization with OLAP on Hadoop

It is no news, organizations looking for an alternative to the traditional enterprise data warehouse (EDW) are finding Hadoop to be a cost-effective and scalable framework for storing and processing big data.
By: Kyvos Insights
 
Feb. 22, 2016 - PRLog -- It is no news, organizations looking for an alternative to the traditional enterprise data warehouse (EDW) are finding Hadoop to be a cost-effective and scalable framework for storing and processing big data.

finding Hadoop to be a cost-effective and scalable framework for storing and processing big data.

In this webinar we will present to you a blue print for a modern data warehouse that can make migrating from the EDW to Hadoop much less risky, and deliver faster, cost efficient analytics.

By attending this webinar you will learn about strategies and best practice for implementing a Modern Data Warehouse covering:

• Impact / ROI analysis, and developing plans
• Data and Workload Migration to Hadoop using automation
• Preparing the Data for Exploration and Analytics on Hadoop
• Building a consumable data layer for the business user

We will also evaluate results obtained by enterprises that have embarked on this journey, including an assessment of operational benefits, acceptance by end users, and reduction in time to market.

Webinar detail and for registration:  http://www.kyvosinsights.com/accelerating-data-warehouse-...

Speakers

Vineet Tyagi - CTO, Imetus Technologies Inc.

Ajay Anand - VP, Products, Kyvos Insights Inc.


Contact
Kyvos Insights
***@kyvosinsights.com
4082133312
End
Email:***@kyvosinsights.com
Tags:Olap On Hadoop, Cubes On Hadoop, Big Data Analytics
Industry:Software
Location:England
Subject:Services
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