Posts Tagged ‘Spark’

Welcome to “Big Data and You (the enterprise IT leader),” the Enterprise Content Intelligence group’s demystification of the “Big Data” . The often missing piece of the Infrastructure as code movement emerging from the DevOps space is what we think of as DataOps. Big Data technologies are uniquely poised to fill this gap because they […]

It’s been a busy year in the Enterprise Information Systems space. With over 75 posts this year, our in-house experts found themselves face to face with big changes and an abundance of great information to share. We sifted through that content and present to you the Top 10 EIS posts of 2015.   Ten | […]

The end of 2015 is fast approaching, with December looming just a week away. For most people, December is packed with the hustle and bustle of last-minute gift shopping, or end-of-year projections and budgets for 2016. Often in the sway of all this activity, many are so focused on the approaching New Year that they […]

Although the title Data Scientist is not mentioned as often as other IT job titles, it has been in the IT world for a while and is becoming more important with the popularity of the Internet and eCommerce. What kind of skills should a data scientist have? It could be a long list, but I […]

Big Data is one of the enabling technologies for companies to digitally transform either their operations and/or customer  interactions.  However the open source world can be complicated, especially in the red hot Big Data arena. There are a myriad of technologies; some compete with one another, others overlap, some are complementary, and worse of all, […]

Previously, I reviewed why Spark will not by itself replace Hadoop, but Spark combined with other data storage and resource management technologies creates other options for managing Big Data.  Today we will investigate how an enterprise should proceed in this new, “Hadoop is not the only option” world.  Hadoop, Spark, Cassandra, Oh My!  Open source Hadoop and […]

Yesterday, IBM threw its weight behind Spark. This announcement is significant because it is a leading indicator of a transition from IT-focused Big Data efforts to business-driven analytics and Big Data investments. If you are interested in learning more about this announcement and what it means in the bigger picture, I wrote a blog entry on our […]

  Right after I posted my blog on Spark and Hadoop, I came across this article. IBM made a big announcement that they are putting their weight behind Spark.  They are committing more than 3,500 developers and programmers to help move Spark forward. This combined with significant support from the Big 3 Hadoop distributors (HortonWorks, Cloudera, […]

I have seen a number of articles asking the question of whether Apache Spark will replace Hadoop.   This is the wrong question!  It is like asking if your your DVD player will replace your entire home theater system, which is pretty absurd.  Just like a home theatre system has many components, a TV or Projector, a Receiver, […]

Last week, Perficient’s Zach Handing wrote a post over on our Spark blog explaining what to make of the recent Internet Explorer announcement published on Microsoft’s Internet Explorer blog. In the article, Microsoft discussed their plans for supporting older versions of IE. There was quite a bit of racket across the web, as people interpreted […]

Doug Cutting – Hadoop creator – is reported to have explained how the name for his Big Data technology came about: “The name my kid gave a stuffed yellow elephant. Short, relatively easy to spell and pronounce, meaningless, and not used elsewhere: those are my naming criteria.” The term, of course, evolved over time and […]