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.
If a data lake isn’t a data warehouse, as I proposed in my last post, then it behooves us to better understand more about this “new” data lake structure. In the fifth and final post in this series titled, Big Data Cheat Sheet on Hadoop, we’ll highlight some of the
In this 5-part blog series on the Big Data Cheat Sheet on Hadoop, we’re taking a look at these five questions from the perspective of a marketer: What can Hadoop do that my data warehouse can’t? Why do we need Hadoop if we’re not doing big data? Is Hadoop enterprise-ready? Isn’t
In response to my last post—Marketers ask: Why do we need Hadoop if we’re not doing big data?—a Twitter follower asked this question: It’s a fair question. Typically, marketers are more interested in the car (in this case, big data) than they are in the engine (Hadoop). But Hadoop is
"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
Recently, I was given the opportunity to present a session titled, An Executive’s Cheat Sheet on Hadoop, the Enterprise Data Warehouse and the Data Lake at the SAS Global Forum Executive Conference. During this standing-room only session, I addressed these five questions: What can Hadoop do that my data warehouse can’t?
In my last post, Where Do You Draw the Line Between Relevancy and Privacy, I talked about some of the plusses and minuses of behavioral online advertising as it pertains to personal (big data) privacy. Finding the balance between honoring people’s privacy while providing them with an interesting and relevant
We have a love/hate relationship with ads. Whether they’re on television, in our favorite publications, or online, we love them if they’re relevant and interesting, or get annoyed when they get in the way of [insert whatever we’re doing]. I have to admit: I rarely watch a television show in
Admit it: If you’re like many marketers, when you read or hear about “big data privacy,” you’re ready to move onto the next topic or swipe to the next screen. Even though you know the discussion is important, you know it’s not fun, it’s sometimes creepy, and it’s not easy
Sometimes a life lesson smacks you right upside the head—and if you’re anything like me, it may take a day, a month, or even a year or ten before you “get it.” Fortunately, this particular life lesson hit home quickly, and has quietly reminded me of its truth over the
The big data privacy discussion is subtle, complex and complicated – and we each have a role to play. What’s yours going to be? It was 9:53 AM. Sarah was racing against the clock: she wanted to finish a long overdue email to a Canadian colleague before her team’s weekly
