When The Weather Company wanted to up its game in the forecasting world, executives knew the answer was to analyze even more data. However, the company's data warehouse was too constricting; it accepted only structured data and required as long as six months to develop appropriate schemas. More>>
One of the actual utilizations of future era parallel and appropriated frameworks is in big-data analytics. Analysis tasks regularly have hard due dates, and data quality is an essential concern in yet different applications. For most rising applications, data-driven models and strategies, fit for operating at scale, are as-yet unknown.
The hotel and hospitality sector caters to millions of travellers every day, and each one of them checks in with their own set of expectations. Meeting those expectations is the key to getting people to return, and increasingly hotel and leisure operators are turning to advanced analytics solutions for clues
Technology and data have transformed many industries--and obliterated others. (Been to a Blockbuster Video lately? Bought a BlackBerry in the last five years?) It's no overstatement to say that a great deal of change is on the horizon, even in traditional areas. I've said many times that all companies are
Being able to interactively explore massive datasets is critical for data science, data engineering or even business intelligence. Databricks allows you to seamlessly query data and visualize results in a notebook environment in the language you prefer – whether it’s SQL, R, Python, or Scala. More>>