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Four key considerations to keep in mind when you need a database designed for analytical queries of vast quantities of time series data. SQL often struggles when it comes to managing massive amounts ...

Modern biology depends on the collection, management and analysis of comprehensive datasets. Unlike the concerted efforts that drove the completion of the first genome projects, most current datasets ...

Query processing and optimisation form the backbone of relational database management, transforming high‐level declarative requests into efficient execution strategies. The pipeline begins with ...

Over the last couple of decades, large multi-dimensional databases have become ubiquitous in a vast array of application areas, such as corporate data warehouses as well as projects in scientific ...

Data comes from all kinds of sources and Microsoft Power Query can you when you need to combine foreign data. It’s a bit easier than trying to do so in Microsoft Excel sometimes. Microsoft Power Query ...

If you want to know what’s what in Big Data analytics today, you’ve got to know the basics of NoSQL databases, and how appropriate NoSQL databases facilitate Big Data analytics. What are the most ...

The development of database technology is one of the defining achievements of the information technology era. It not only has been the key to dramatically improved record-keeping and business process ...

The latest trends and issues around the use of open source software in the enterprise. Let’s take a quick dip into Open Data Lakes Analytics. But before we do, we need to cross off some names and ...

Extensible Markup Language (XML) has evolved considerably in its short five-year history. It started out as a simple way to mark up data and relied on seasoned technologies for data validation, such ...