The epicenter of big data moves to New York City on September 29 at Strata + Hadoop World. It’s a great chance to mix and mingle with people that live and breathe analytics, including a core SAS team of thought leaders, developers and executives. We’d love to be a part
En principio, Hadoop no parece ser un tema como para discutir en una sala de juntas de una grande organización. De hecho hasta hace poco, no era común escuchar esta palabra fuera de los departamentos de tecnología. Ahora hablar de hadoop no se está volviendo usual sólo en las salas
I've spent a great deal of time in my consulting career railing against multiple systems of record, data silos and disparate versions of the truth. In the mid-1990s, I realized that Excel could only do so much. To quickly identify and ultimately ameliorate thorny data issues, I had to up
Now that another summer of 12-hour family road-trips to Maine and Ohio, pricey engineering and basketball camps for the kids, and beating the heat at the beach are over, I've taken a fresh look at what people are focused on with their data – and what SAS is providing in the data management space.
There's a lot of buzz about Hadoop these days. I started checking into it, and there seemed to be a gazillion releases. So, being The Graph Guy, I decided to create a graph to make it a little easier to digest! During my search for Hadoop information, I found the
Bigger doesn’t always mean better. And that’s often the case with big data. Your data quality (DQ) problem – no denial, please – often only magnifies when you get bigger data sets. Having more unstructured data adds another level of complexity. The need for data quality on Hadoop is shown by user
Oh, how times have changed during my 20-plus years in the insurance industry. Data wasn’t a word we used much back in the 80s and 90s, unless of course you worked in those arcane and mysterious IT data centres. Even amidst the computerisation of the insurance industry in the 80s, many
Oh, how times have changed during my 20-plus years in the insurance industry. Data wasn’t a word we used much back in the 80s and 90s, unless of course you worked in those arcane and mysterious IT data centres. Even amidst the computerisation of the insurance industry in the 80s, many
Es tut sich was in Sachen Big Data Analytics und Hadoop in den Unternehmen. Hat man vor 12 Monaten noch eher darüber diskutiert, ob Big Data ein weiterer Hype von Analysten und Beratern ist, stellt sich die Situation heute ganz anders dar: Das Thema ist in den Unternehmen angekommen.
In a complicated, fast-paced and connected world, you don’t succeed alone. SAS and Cloudera have a successful partnership that dates back several years. Our products are complementary and provide significant quantifiable value to customers who run them on the same cluster. Add Intel to the mix and you have a trio
You have to be "in it to win it" as they say. This is becoming the case for many organisations that need to start using data to make better, evidence-based business decisions. Today, using analytics is not so much a data lottery as a data necessity. Some businesses may not
I'm gearing up to teach the next "DS2 Programming Essentials with Hadoop" class, and thinking about Warp Speed DATA Steps with DS2 where I first demonstrated parallel processing using threads in base SAS. But how about DATA step processing at maximum warp? For that, we'll need a massively parallel processing
Technology has brought the world a great deal of good, but the downside is that we’re increasingly vulnerable to some seriously scary stuff: Terrorists taking control of airplanes through the in-flight entertainment system. Governments breaking into secure systems and stealing identities. Thugs messing with the steering of self-driving cars. When
I am a runner – a trail runner to be more precise. There are many trails that I enjoy running near where I live, but what I really anticipate is the opportunity to explore a new trail. Whenever I travel, my trail shoes go with me and I try to
I just spent much of the past week watching and trying to ride waves on the North Carolina coast. Small waves, mind you, nothing spectacular and certainly nothing that you would consider edgy or life-altering. Nothing that big wave surfers like Laird Hamilton, Garrett McNamara and others of their substance
Angenommen, ein Chemiker hat eine riesige Menge verschiedener Rohstoffe zur Verfügung. Er hat die Aufgabe aus diesen Rohstoffen ein neues Medikament zu entwickeln. Der Chemiker weiß noch nicht wofür, aber mit Hilfe seines Fachwissens über chemische Stoffe macht er sich daran, kreativ Ideen zu entwickeln. Er fängt an, eine Auswahl
On May 7, 2015, Conservatives defied the polls and won the UK general election, handing Labour and Liberal Democrats a surprising defeat. Now, with Chancellor George Osborne presenting his budget in a few days' time (July 8), the new Conservative government is tackling how it will deliver on its campaign promises. That means
Hadoop has been called a game changer technology. Here’s why: - DATA IS DIFFERENT: We now have to deal with both structured and unstructured data. - NO LIMITS: We now deal with Terabyte or Petabyte data size and not just with old Megabyte. - COMPLEXITY: We work with complex multi-server
People are such an important aspect of data analytics. I was reminded of this at the recent Strata+Hadoop World event, where I saw first hand that the UK is indeed facing the same skills gaps as elsewhere in the world. Perhaps that didn’t surprise me, but I also noticed the
According to recent studies on big data readiness, the majority of companies (more than 60 percent in the latest study of Crisp Research) are not prepared for the challenges of digital transformation. In fact, 58 percent of decision makers surveyed say they have no strategy in place. The quest for
If you have your SAS Certified Platform Administrator Credential, then it’s clear that you’ve studied a lot to achieve it. But suddenly the Hadoop era shows up and what you find are big gaps in your skills inventory. SAS administrators must be familiar with all the data SAS platform can
You might have lots of data on lots of customers, but imagine if you could suddenly add in a huge dollop of new, highly informative data that you weren’t able to access before. You could then use analytics to extract some really important insights about these customers, allowing you to
SAS offers a rich collection of features for working with Hadoop quickly and efficiently. This post will provide a brief run-through of the various technologies used by SAS to get to data in Hadoop and what’s needed to get the job done. Working with text files Base SAS software has the
A proof of concept (POC) is smartest way for customers to evaluate if a product meets the required objectives, and the best way for vendors to demonstrate why they feel they are best placed to resolve the current outstanding problems. However, not all POCs are successful. Let’s explore why. What is
We’ve all been there. You’ve knuckled down, cleaned out the garage, the attic, and that cupboard under the stairs, thrown away a ton of stuff, only to need it again the very next week. Until recently, that’s exactly what many businesses did with their data. The data explosion has radically
We’ve all heard the old saw, “If you torture data long enough, eventually it will confess to something.” But when it comes to spurring real change, how about ditching the dungeon-master act and thinking like a venture capitalist instead? Wouldn’t that pay bigger dividends? That was the tip from Ravi
Contributed by Kim Truong, Sr. Marketing Manager, Hortonworks, where she is responsible for partner marketing with SAS. At Hortonworks, we’ve been working with SAS engineering teams since 2013, allowing our customers to leverage the inherent scale-out compute and storage capabilities of Hadoop in combination with the richness of SAS analytics.
In the 1988 film Beetlejuice, the title character, hilariously portrayed by Michael Keaton, is a bio exorcist (a ghost capable of scaring the living) hired by a recently deceased couple in an attempt to scare off the new owners of their house. Beetlejuice is summoned by saying his name three times. (Beetlejuice. Beetlejuice. Beetlejuice.) Nowadays
As utilities expand analytic capabilities into more areas of the business, the reality of the data management challenge becomes very real. Most have accepted the era of "big data." But what about the quality of that big data? Is it reliable? What about the governance? Have the processes changed since
The other day, I was looking at an enterprise architecture diagram, and it actually showed a connection between the marketing database, the Hadoop server and the data warehouse. My response can be summed up in two ways. First, I was amazed! Second, I was very interested on how this customer uses
