Category Archives: Big Data

Big Data in the Real World: Retail

It’s no secret that the retail industry has faced drastic changes over the past decade.   Trends ranging from changing demographics (Millennials replacing Baby Boomers as primary customers), online sales growth while brick and mortar revenues decline, an increase in major security breaches affecting millions of customers, and customer experience failures (and wins) broadcast through social media. All of these affect the way major retailers, as well as mom and pop shops, do business today.
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Enterprise Software Requires Enterprise Quality Assurance

When companies look at investing in enterprise software, they’ll have a checklist of features and requirements for the software.  Something that’s often missing from the criteria used to evaluate a product, especially a new generation technology, is a point on quality assurance. Has the vendor established “a fantastic quality assurance process?”  Adding this to your checklist can save your company a lot of time and money in ongoing sustainment costs and will ultimately improve your users’ experience.
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Announcement: Partnership with MarkLogic to Deliver Big Data Solutions to our Customers.

Today, more of our clients are recognizing the insight and value that can be gained from the data they’ve accumulated over the years, and are currently amassing at unprecedented rates.

Organizations have high volumes of content–structured, unstructured and semi-structured–locked away in disparate systems and repositories. They are seeking ways to aggregate, analyze and operationalize this data to improve efficiencies, innovate, and get ahead of the competition.
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Minimize Constant Data Format Transformations with MarkLogic NoSQL Database Platform

If you’ve ever developed an enterprise web application with a relational database then you’re very familiar with the constant data format transformations that need to take place in the middle tier.  When retrieving data from a relational database, you are forced to transform the retrieved columns and rows into an XML or JSON document that can be consumed by the requestor.  Likewise, if a web service client delivers an XML or JSON document into your application and you need to store the XML or JSON document content, you now need to transform the XML data by mapping it into columns and rows to be inserted into your relational database.
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Can’t do joins with MarkLogic? It’s just a matter of Semantics!

I had a great time at the recent MarkLogic conference and wanted to share just one thing: joins are not dead!  If you’re like me, you’ve spent the last 20 years working with relational databases.  When I first looked at MarkLogic, I was shocked (dismayed?) that there was no clear way to join tables.  Why?  Because there are no tables!?!?  Instead, we just have this mass of documents, some of which might contain data describing a <person> while others contain data describing a <car>.
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MarkLogic World 2015 Takeaway—Customers Deliver Applications Faster with MarkLogic

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Several members of the General Networks team just returned from a great couple of days in San Francisco for MarkLogic World, the kickoff event of the 2015 MarkLogic World Tour, headed to 8 more cities in the US and around the world.  There were excellent keynotes, technical presentations and deep dive discussions about the MarkLogic Enterprise NoSQL database platform and lots of buzz about exciting new features included in MarkLogic 8, released earlier this year.  Some of the most talked about features include semantics, bitemporal, and native support for JSON, server-side JavaScript and node.js client API.

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What is Big Data? And Why Is It Important to Me?

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Similar to the term, “The Cloud”, there is confusion as to what “Big Data” really means.

  • Is it a product?
  • Is it a set of tools?
  • Do only big businesses have Big Data?
  • Haven’t businesses always had big data repositories to deal with it?
  • What font size is Big Data?

OK, the last question really isn’t one you likely have been asking yourself, but the others are a possibility.
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