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 […]

Machine Learning Solutions: Recommender System Design

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Recommender systems are now ubiquitous in our daily lives. From Amazon indicating similar products, to Netflix suggesting TV shows, even down to which version of a given advertisement you get in the mail, every business seems to be using recommender systems in order to improve their service. While recommender systems may seem too complex to […]

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 […]