On the way to data lakes and Hadoop – Part 1
Jim Harris advocates addressing data quality and governance issues on the way to data lakes and Hadoop.
Uncategorized
Four ways SAS makes Hadoop easy
Clark Bradley explains how SAS can make Hadoop approachable and accessible.
Hadoop's evolution, part 2: Thoughts on the past, present and the future
Phil Simon chimes in on the last five years of Hadoop with an eye toward the future.
Transitioning to a hybrid data environment
David Loshin explores considerations for organizations gradually making the transition to Hadoop.
Hadoop's evolution, part 1: Lessons from AWS
Phil Simon looks at AWS's evolution before making some predictions about the future of Hadoop.
Tackle GDPR data management requirements using SAS
Ivor Moan explains how SAS Data Management software can help you address GDPR requirements.
The importance of data quality to MDM
Jim Harris explains why data quality is such a fundamental aspect of master data management.
Challenges of moving Hadoop into production
David Loshin discusses two common roadblocks in moving Hadoop from proof-of-concept to production.
Taming the omnichannel data monster
Kim Kaluba describes how a customer data strategy can help you achieve an omnichannel vision.
Is big data just a source? Or is Hadoop ready for MDM?
Joyce Norris-Montanari poses the question: Is Hadoop/big data technology actually ready for MDM?