So, you've heard the Hadoop hype and you are looking – or have already invested – into Hadoop. Maybe you have also realized some benefits from the Hadoop ecosystem. But now you want to maximize those benefits by using advanced analytics, or you might have heard about algorithms or machine learning libraries available
In the world of IT, very few new technologies emerge that are not built on what came before, combined with a new, emerging need or idea. The history of Hadoop is no exception. To understand how Hadoop came to be, we therefore need to understand what went before Hadoop that led to its creation. To understand
Okay, let's say your data is in Hadoop. The distributed, open source framework is configured as it should be across low-cost servers and your data is sitting in those clusters. It's been a meaningful effort to get to this point but how does it benefit your organization? If it's not doing something
Because every single Hadoop deployment, like the structure of a snowflake, is different. For the open source big data framework, there are different distributions from various Hadoop vendors and all implementations are, or should be, tailored for that specific organization’s needs. And given this infinite variety of Hadoop foundations, the analytics
Perhaps you're a big data expert who is fluent in Pig, Hive, MapR and all the technologies associated with the open source big data framework. Or maybe your role hasn't yet been touched by the increasingly popular Hadoop system. It's certainly worth a few minutes of your time (or perhaps
Are you wondering what to do next with your analytics program? The latest issue of sascom magazine provides a handy guide. Check it out to get help checking off must-do items like these: Establish an analytics center of excellence. Find out how SunTrust centralized all of the bank’s analytics teams –
Have you ever wondered how extracting value from big data might be like skateboarding? Really, it never crossed your mind? Actually, to be honest I had never considered it either, not even one little bit. At least, not until I watched a skateboarding legend explain, “The Art of Good Practice”
I was recently part of team discussing enterprise architecture with a chief IT architect, and we were explaining how SAS can integrate into their existing infrastructure, add business value on top it and even fit into their future planned infrastructure. This conversation was one of the reasons I blogged about
Interest in "data" is at an all-time high. The popularity of search terms like "big data," "Hadoop" and the "Internet of Things" spiked dramatically in the past year. The fact is, organizations are more interested in the potential of big data platforms and data management solutions than ever before. That’s
If you look up Paul Kent on LinkedIn, you’ll find a two-word description for his job at SAS that says, simply: Chasing elephants. Are you picturing a Disney cartoon? Or an over-sized circus act? What if I told you that Kent’s official title is SAS VP of Big Data? Now,
