NoSQL future: All content tagged as NoSQL future in NoSQL databases and polyglot persistence
This is ugly and should never happen to an open source project.
Still Joe Brockmeier (RWW) describes this as a superb win-win situation:
It might seem unhealthy for companies to be clamoring for credit in open source projects, but it’s a sign of health for projects. If companies position themselves to be top contributors, and care about their standing, the projects win. Users win too. Developers in the ecosystem also win – since it’s far easier to hire existing contributors than trying to push outsiders in to a project.
But there’s just a minor thing missing. Who gets the cheese?
Original title and link: Mine Is Bigger Than Yours: Hadoop Code Contributions ( ©myNoSQL)
Last evening I was trying to catch up with the news in the NoSQL and Big Data space—it looks like nobody wants to pick up the job I’m doing here, except maybe GigaOm’s Infrastructure Curator Derick Harris.
After skimming for a while through the links I’ve bookmarked, I’ve started to realize that this month, September 2011, is looking like the most exciting month in the data space, including but not limited to NoSQL and NewSQL, Big Data, data analytics etc. Partnerships, fundings, acquisitions, major releases. Every couple of days I had a news about a very interesting announcement.
You’ve probably read about some of these, but I thought I should group them together so you could get the same feeling I got:
BigData Market: IBM Acquires Two Analytics Companies: data analysts would call this consolidation. I’d say it’s the beginning of the acquisition spree.
MongoDB Selected as Core Content Management Component of SAP’s Platform-As-A-Service: it’s not very often to hear about a giant chosing a newcomer’s solution as a core component of its services.
R and Hadoop: Revolution Analytics and Cloudera Partnership Announced: R developers can access Hadoop data stores and program MapReduce jobs in R
For a while I’ll keep updating this post to point to the most interesting news this month.
Original title and link: The Best Month for NoSQL, Big Data, and the Data Space? ( ©myNoSQL)
I opened my email this morning just to find one of the daily Mac software deals email promoting an Amazon SimpleDB tool: SDB Explorer. This reminded me that last month I’ve seen NoSQL mentioned twice on TechMeme. I don’t know if any relational database has ever been mentioned on Oprah, but that’s the next stop for NoSQL databases. NoSQL is mainstream.
Original title and link: SDB Explorer for Amazon SimpleDB ( ©myNoSQL)
Michael Stack (StumbleUpon & Hadoop PMC) presents on some of the more interesting HBase deployments, HBase scenario usages, HBase and HDFS, and near-future of HBase:
Over two million analysts worldwide use R, and they come from an extremely diverse pool of industries that ranges from journalism to financial services to life sciences.
If you replace R with data analytics, this could seen as a very appealing future of Big Data and data analytics. Something like a generalized version of data analytics at work.
But before loosing myself in this perspective, I thought I should take a look at the present and see how what is done now is going to lead to that amazing tomorrow:
- Tim O’Reilly said a couple of years ago “Data is the Intel inside” and since then we’re seeing lots and lots of companies trying to materialize this slogan.
- More new technologies for storage, processing, and analysis are developed and reaching the market then in the 10 previous years.
- People are starting to embrace big data overcoming their fear of privacy invasion
All these are good signs that we could consider as a good basis for the future. On the other hand the past and today’s reality tell a different story:
- Even if technology costs decreased over time, the investment in creating data startups are still high.
- Financial institutions are not investing (too much) into data technology companies.
- There are only a few companies that are able to accumulate significant amounts of useful data.
- There are even fewer companies that are able to use effectively the huge amounts of data.
What worries me is that even if we will continue to see both a commoditization and impressive improvement of data solutions, by the time all tools will be in place and accessible to everyone, as per the opening paragraph, really valuable data will reside in just a few private well locked silos.
Original title and link: The Appealing Future of Big Data and Data Analytics ( ©myNoSQL)