Tag Archives: etl

Why You Should Offload Your Data Warehouse to Hadoop

Enterprise Data Warehousing (EDW) has been a mainstay of many major corporations for the last 20 years. However, with the tremendous growth of data (doubling every two years), the capacities of enterprise data warehouses are being exhausted. Load processing windows are similarly being maxed out, adversely affecting service and threatening the delivery of critical business insights. The need to store infrequently used, “just in case” data exacerbates this challenge by taking up (expensive) capacity.

So how can organizations tackle this challenge? The answer lies in Hadoop. Continue reading Why You Should Offload Your Data Warehouse to Hadoop

Case Study: How a Healthcare Organization Utilized a Next-Generation Data and Analytics Platform to Improve Patient Care and Lower Costs

Challenges

Our client, a major healthcare organization, was experiencing difficulties with their decentralized approach to data management. Insufficient governance processes and a proliferation of independent data assets made it time-consuming and frustrating for users to find and trust the data they needed. Continue reading Case Study: How a Healthcare Organization Utilized a Next-Generation Data and Analytics Platform to Improve Patient Care and Lower Costs

Infographic: Offloading “Cold” Data from DW to Hadoop

With the rise of Hadoop, the demise of the data warehouse seemed only a matter of time. Surprisingly (or not), that’s not the case. Instead, organizations are looking to augment their current enterprise data warehousing solutions with the analytics and cheaper storage that Hadoop brings.

Continue reading Infographic: Offloading “Cold” Data from DW to Hadoop