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2015 was a landmark year for Big Data. Hortonworks had its first year as a publicly traded company, acquired Onyara, and released Hortonworks Data Flow.

The Microsoft Power BI team was fast and furious in 2015, and there are no indications they are slowing down in 2016. If you haven’t checked out Power BI V2 since it was first released last summer, you might want to take another look. Many features have been added and updated since then. Based upon the release schedules since July, it seems there are 3 separate release cycles for Power BI.

Harnessing data can enhance and optimize a company’s workforce by defining goals, measuring successes and pointing to problems.

These days, it seems almost every data and analytics presentation, webinar or whitepaper highlights the current explosion in data production.

Recently, Tableau announced Vizable, a new standalone mobile app.

It\'s no secret that Big Data is big news. Every day there are new articles about how organizations are making use of previously untapped streams of data to gain new insights and make sweeping changes in the way they do business.

Retailers still can’t read the minds of consumers, but leaders in the industry are using big data solutions as the next best thing. Especially when it comes to deciphering the elusive demands of the millennial market.

A key business challenge facing teams that support executives today is finding a way to deliver timely and on-point analytics to their decision-makers.

Logic Apps makes it easy to pull in data from external data sources which are usually provided by Restful APIs.

Power BI V2, which went into General Availability mid-2015, has evolved significantly in the last several months. With an ever-increasing number of capabilities and integration points, Power BI has grown to become an ecosystem.

Many mainstream topics and issues surrounding better healthcare revolve around providing better patient care, improved patient health, and reduction in costs.

Traditionally in Data Warehouse and BI projects, data processing is done in batch mode. ETL processes run for a set amount of time, generally during the night. When everyone arrives at the office in the morning the data is updated, reports are current, and everyone can move on with their day.