Hadoop features front and center in the discussion of how to implement a big data strategy, one of the biggest trends in IT. There’s just one problem that keeps cropping up: many people don’t seem to know exactly what it means when somebody says “Hadoop.”
The great thing about big data is that there’s still plenty of room for new blood, especially for companies that want to leave infrastructure in the rearview mirror. At this point, the data-infrastructure space, including Hadoop, is well-funded and nearly saturated, but it also needs help.
If big data does indeed write the screenplay for the movie about the next generation of business, the climax will be that mathematicians take the prom queen home. If students want high-paying jobs with the coolest companies around, they’d better heed that prediction.
Hadoop gets plenty of attention from investors and the IT press, but it’s very possible we haven’t seen anything yet. All the action of the last year has just been setting the stage for what should be a big year.
Hadoop is all the rage in analytics, but it still isn’t easy for mere mortals to utilize the big data framework. A handful of companies are trying to solve this problem, including Karmasphere with the latest version of its Analyst Big Data product.
Hadoop-based startup Platfora has raised $5.7 million from Andreessen Horowitz and military intelligence–focused strategic investor In-Q-Tel. Investors are excited because Platfora promises big things around making big data analytics obtainable by anyone needing to parse large volumes of unstructured data, not just data scientists.
For anyone concerned about the difficulty of doing advanced analytics tasks with Hadoop, the future might be just around the corner. A stealth-mode Palo Alto, Calif.–based startup called Platfora is working to make Hadoop usable even for the non-data scientists among us.