November 26, 2019

With Hadoop in Decline, What’s Next for Big Data?

Hadoop hasn't lived up to its early promise.  Enterprises in North America are already investing in their third generation data lake, with the same goal of “democratizing data” at scale. The goal of Governed Self-Service providing business insights, and ultimately…

Posted by: Matt Baird

November 20, 2019

Three Benefits of a Big Data Fabric

Gartner projects that by 2020, 35 percent of enterprise organizations will implement data virtualization as an alternative to data integration.  Data virtualization delivers a single view of organizational data without having to physically integrate it, allowing enterprises to use their…

Posted by: Ryan Arsenault

November 12, 2019

The Future of Data Warehousing

Surprise! You never would have guessed the future is in the cloud. We should not be overly concerned with “the future” of data warehousing. The past five years have brought fundamental new capabilities at the platform level and most organizations…

Posted by: Matthew Baird

October 24, 2019

How to Become Truly Data-Driven

Companies today don’t have the luxury of waiting to become data-driven while younger and more agile competitors are nipping at their heels. The pressure is on now to consolidate all data across the organization for a single view into operations,…

Posted by: Matthew Toomey

October 9, 2019

How Digital Transformation Enables Big Data Analytics

There's sometimes a misconception in the understanding of Big Data. Isn't is just analytics? They're related, but in this movement, data has become not only bigger but more complex meaning that anyone seeking to glean intelligence from Big Data must…

Posted by: Wendy Boucher

September 17, 2019

ETL vs ELT: What’s the Difference? & How to Choose

Data Loading, part of the ETL trinity, is conceptually very easy. Where it gets interesting is - at what point do you do the loading? Pre or Post the Transformation, where data is transformed from one format or structure to…

Posted by: Matt Baird

August 5, 2019

Supercharge your DataOps: CIO and CDO unite to create a shared data intellect

Embracing DataOps DataOps seeks to realize the insight-driven business by creating better ways to develop and deliver analytics across organizations. DataOps emphasizes interactions, working analytics, customer collaboration, experimentation and cross-functional ownership over tools, documentation, contracts, upfront design and siloed responsibilities…

Posted by: Charlie Wong

July 11, 2019

DATA VIRTUALIZATION VS. DATA WAREHOUSE

*Editor’s note: This is an update to the "Why You Need An Advanced Analytics Fabric " post we published a while back. This update expands on the challenges of a traditional data warehouse and outlines the 10 requirements of intelligent data…

Posted by: Dave Mariani