I’ve been fortunate in my role as an ESG Lab Analyst in that I’ve been able to be hands-on with a mix of companies that range from new, emerging startups to mature, proven companies. Specifically in the “Big Data” space, the exposure to the new products and technology has been just enough that I really want to wrap my head around everything there is to know. My ultimate goal at a high-level is to provide clarity where it’s needed - clarity in a cloudy (pun intended), confusing big data ecosystem. What do I need to fix my problem? Who does what? How do they do it? And the big question for me right now: Who really does what they say they do?
I’m finding this last question to be important. With all the confusion of all the big data technology that’s out there, companies can pretty much get away with saying they do X, Y, and Z, when in actuality they do X, they kind of do Y, and they don’t do Z. But before I get too deep into specifics of technologies, companies, and approaches to solving big data problems, I’m trying to stay as high-level as possible.