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Showing posts from April, 2017

Cloudera Analyst Event: Facing a New Data Management Era

I have to say that I attended this year’s Cloudera analyst event in San Francisco with a mix of excitement, expectation and a grain of salt also. My excitement and expectation were fuelled with all that has been said about Cloudera and its close competitors in the last couple of years, and also by the fact that I am currently focusing my own research on big data and “New Data Platforms” . Moreover, when it comes to events hosted by vendors, I always recommend taking its statements with a grain of salt, because logically the information might be biased. However, in the end, the event resulted in an enriching learning experience, full of surprises and discoveries. I learnt a lot about a company that is certainly collaborating big time in the transformation of the enterprise software industry. The event certainly fulfilled many of my “want-to-know-more” expectations about Cloudera and its offering stack; the path the company has taken; and their view of the enterprise data mana

Enterprise Performance Management: Not That Popular But Still Bloody Relevant

While performing my usual Googling during preparation for one of my latest reports on enterprise performance management (EPM) , I noticed a huge difference in popularity between EPM and, for example, big data (Figure 1). From a market trend perspective, it is fair to acknowledge that the EPM software market has taken a hit from the hype surrounding the emergence of technology trends in the data management space, such as business analytics and, particularly, big data. Figure 1: Searches for big data, compared with those for EPM (Source: Google Trends) In the last four years, at least, interest in big data has grown exponentially, making it a huge emerging market in the software industry. The same has happened with other data management related solutions such as analytics. While this is not that surprising, my initial reaction came with a bit of discomfort. Such a huge difference makes one wonder how many companies have simply jumped onto the big data wagon rather than m