In 2003, Google published its now famous Google File Systems paper. It was a big deal. Google was facing a data volume problem. And so were a lot of other organizations. And this was before big data was… big data.
Now, fifteen years later, we have big data -- in many varieties, including streaming data -- and new ways to store, manage and process it. But what many organizations still don’t have are the analytic tools to explore, visualize and analyze big data.
Traditional BI platforms can’t do it effectively. They can’t handle the volume. They can't handle the variety. And they can’t handle the velocity. The good old three Vs of big data.
These old-school platform vendors have come up with various workarounds. Like data abstracts and cubes to reduce volume. But the workarounds don’t work so well. Too many tradeoffs. As we like to say, “Reducing data volume isn’t a best practice, it’s an excuse.”
Our new eBook, “Big Data Exploration… And Why Your BI Platform Can’t Handle It,” explains how new approaches to processing data for exploration and analysis have given rise to modern BI platforms like Zoomdata -- designed right from the start for big and fast data. Be sure to grab a copy.