Over the years, Big Data pundits have come up with great one-liners to highlight the importance of data. "Data is the new gold" or "Data is the new bacon" are examples of such analogies. They are all great but there is one in particular that's been bothering me lately. If you're coming to next week's DataWorks event, be sure to attend the AtScale keynote on Wednesday to find out which one it is and why.
Production deployments continue to drive rapid pace of innovation
When we announced AtScale 5.0 you may recall that I was quite excited about the rich set of analytical capabilities included in the release, including multi-fact support and an improved design experience for complex models. These capabilities have been well received by our customers, and have helped them to put more use cases into production using the AtScale Intelligence Platform.
With the 5.5 release we’ve continued to provide new capabilities in working towards a modern BI platform for big data
The rapidly exploding demand for business intelligence on big data is nothing new - this trend is clearly indicated in the latest Big Data Maturity surveys (2015 and 2016). As shown in the graphic below, 75% of respondents are planning on deploying BI workloads on their big data platforms (with 73% of respondents already with some BI use cases deployed).
This past week, Tom Davenport, of the "Competing on Analytics" fame published an HBR article that he could have named: "What They Don't Teach You at Harvard Business School: Big Data Edition". The piece follows a long list of mainstream articles that have attempted to highlight the shortcomings of "Old School Data Strategy". Here is what you might have missed and why it could matter to your company and career.
Every once in awhile, the ultimate question comes up: "What is the best analysis tool for BI on Hadoop?!" AtScale is not in the business of favoring one tool versus the other. We are in the business of making all of them work. There are indeed many reasons why business users and IT departments choose particular analysis tools. Here are a few things to consider.
Yes, there are actually ways to 'Do Big Data Analytics Right'.
Leaders and innovators in the Big Data space have learned the hard way, and now those of you looking to dip your toe, or jump head first, into the BI on Big Data waters can capitalize on their early experiences. Let go of the fear or ego or whatever may be holding you back and take the chance to learn from those who took the early adopter risk.