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5 Oracle Analytics Trends to Watch Out for Starting Now

“Catching up” is the term that came to mind when I used to check out what’s new with Oracle Analytics in previous years. This year, however, I frankly say I was impressed with what I saw at Oracle Open World last week. The rules of the analytics platform game have changed, tremendously. This is after […]

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Spark as ETL

Introduction:   In general, the ETL (Extraction, Transformation and Loading) process is being implemented through ETL tools such as Datastage, Informatica, AbInitio, SSIS, and Talend to load data into the data warehouse. The same process can also be accomplished through programming such as Apache Spark to load the data into the database. Let’s see how it […]

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Top 5 Lessons of Day 1 at Hadoop Summit #HS16SJ

Perficient is at the Hadoop Summit in San Jose, CA and we’re tracking the best of the conference. Here’s the top 5 lessons from day 1: Apache Atlas for managing your business catalog is almost ready for prime time! It is not, however, ready to be a full fledged Records Management solution (no policy management, […]

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Big Data and You: DataOps

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 […]

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The Year in Review | Top 10 EIS Posts of 2015

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 | […]

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Time Well Spent in 2015

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 […]

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SparkR for Data Scientists

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 […]

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Dorothy in the Land of Big Data

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, […]

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Hadoop, Spark, Cassandra, Oh My!

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 […]

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Spark Gathers More Momentum

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 […]

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IBM’s Spark Investment is Evidence Big Data is Dead

  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, […]

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Will Spark Replace Hadoop?

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, […]

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Making sense of the recent Internet Explorer announcement

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 […]

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A little stuffed animal called Hadoop

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 […]

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