I’m the Director of Emerging Technologies on the SAS Best Practices team, a thought leadership organization at SAS. While hot topics like smart homes and self-driving cars keep me giddy, my current focus is on the Internet of Things, blockchain, big data and privacy – the hype, the reality and the journey. I jumped on the technology fast track 30 years ago, starting with Digital Equipment Corporation. Yes, this was before the internet was born and the sci-fi of yesterday became the reality of today.
Hadoop recently turned eight years old, but it was only 3-4 years ago that Hadoop really started gaining traction. It had many of us “older” BI/DW folks scratching our heads wondering what Hadoop was up to and if our tried-and-true enterprise data warehouse (EDW) ecosystems were in jeopardy. You didn't
The panel moderator looks out over the audience. It’s a large crowd. For the first time ever, Big Data, Hadoop, and the Internet of Things are appearing on stage together. The conversation has just begun, so let’s listen in for a minute. Big Data: “…and people have been trying to
I recently discovered this technical white paper on SAS’ customer support site called Data Modeling Considerations in Hadoop and Hive, written by one of SAS’ R&D teams. I was intrigued by the team’s findings, so in this post, I want to share its highlights – without getting into the technical
How well do you know big data in the retail industry? Want to find out? Read the following statements and pick which one is false: In the retail industry, big data is still five years away from becoming mainstream. In 2013, large billion dollar retailers spent an average of $75,000, or
You’ve read the research reports and seen the statistics. You’ve attended the conferences and heard the case studies. You’ve read the online articles and kept up with expert opinions. Your organization has even done a few big data sandbox projects – some successful, some not. Yet the jury is still
“Our corporate data is growing at a rate of 27% each year and we expect that to increase. It’s just getting too expensive to extend and maintain our data warehouse.” “Don’t talk to us about our ‘big’ data. We’re having enough trouble getting our ‘small’ data processed and analyzed in
Get an overview of Jill Dyché's PBLS workshop, "Doing Data Governance the Right Way."
