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Data Lake or Data Warehouse?

Click here to learn more about Joe deBuzna. Abandoning a data warehouse for a data lake may not be the answer. Over the last few decades, we’ve seen an explosion in the use of data warehousing within the IT industry. It was all the rage for doing analytics and reporting. Data warehouses are popular because […]

Understanding Key-Value Databases

In 1966, a DEC PDP-7 computer was delivered to the Massachusetts General Hospital without any programming. The hospital had invested in a computer but had no way to run it. At this time, there was very little in the way of software options, operating systems, or database support. The hospital did, however, have access to […]

A Brief History of Data Silos

The original purpose of a data silo was to keep secrets. People have been keeping secrets for a long, long time. Prior to the written word, keeping a secret meant not sharing specific information with anyone else, verbally. And then came the written word. Secrets could be shared accidentally, or even stolen. Life became more […]

Fundamentals of Document Databases

A document database (sometimes referred to as a “document store” or a “document-oriented database”), is a NoSQL or non-relational database. But, document databases use an index to associate “keys” with “documents,” making it more efficient at retrieving data. Unlike relational databases, document databases are not structured with a format of rows and columns, but scale […]

Seeing the Database Through a Different Lens

Click to learn more about author Greg Nist. I was frustrated. I’d spent two-and-a-half years as a consultant developing software for a state government agency, and I felt like we were running on a treadmill. Our ability to drive the agency forward to more effectively run its operations was being constrained. Constrained not by the […]

The Challenges of Leveraging Big Data

Organizations from all over the world are gathering, analyzing, and evaluating huge data volumes from a large variety of sources, with the goal of increasing productivity and efficiency. Big Data Analytics is being used to stop credit card fraud, anticipate hardware failures, and reroute internet traffic to avoid congestion. Big Data technologies can improve network […]

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