data data everywhere and all the ships did sink

architecture

This is my second blog focusing on data technology. In my first installment “Data Data Everywhere” I explored NoSQL technologies, specifically Couchbase. Recently, I had the opportunity to attend the SAP Data Hub training course. In that course, we focused on developing pipelines and moving data from one storage technology to another. We also looked […]

Is It Time To Rethink Running your Database In Docker?

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As long as Docker has existed, developers have been using it to run databases in development mode.  But once you get past development and test, the database experts have quickly crushed any thoughts of running containerized databases in production.  Why?  A variety of reasons: the vendor doesn’t support or endorse (or allow) it; DBAs don’t […]

MarkLogic 9 introduces row-oriented views and the Optic API

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MarkLogic has always been adept at storing a variety of data types: XML, JSON, RDF, text, and binary. Its powerful search capabilities, rich APIs, and support for many kinds of data in a variety of languages have made it a flexible choice for addressing a wide range of technical challenges without the need for complex […]

Data Data Everywhere

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How NoSQL complements traditional relational databases I like working with traditional relational database management systems (RDBMS).  There is something elegant about good table design and the physical implementation of a database.  I like running SQL statements and looking at data along with figuring out how to get specific result sets.  I’m not sure why this […]