MySQL: All content tagged as MySQL in NoSQL databases and polyglot persistence
The season of predictions is here. Chris Kanaracus in an all-bold post, quoting analysts:
Jon Reed: “Expect SAP to purchase an up-and-coming “big data” product or vendor, and perhaps several, including at least one that specializes in integration with the Hadoop framework for large-scale data processing”.
I’m still scratching my head to come up with the long list of product or vendors specialized in integration of Hadoop that SAP could acquire.
Curt Monash: “Expect plenty of additional adoption for Hadoop. Everybody has the ‘big bit bucket’ use case, largely because of machine-generated data. Even today’s technology is plenty good enough for that purpose, and hence justifies initial Hadoop adoption.”
What I hope to see happening is that besides the companies putting together the building blocks to make Hadoop friendly enough (real work) and the companies claiming integration with Hadoop (not that fantastic work), there’ll be some companies that take the Hadoop stack and built tools whose immediate impact on the business can be measured. Basically vertical solutions applying the Hadoop stack to specific markets, segments, and scenarios.
The main challenge of “Big Data” these days is not that there isn’t value behind it. It’s the measurability of this value. What each company looking into Big Data tries to answer is what value does big data carry for my case? This is a founded question as not every company has an infinite budget, time, and magic resource pool.
Curt Monash: “Usually when the topic of alternative databases comes up, the incumbent is often Oracle or IBM DB2. But in 2013, MySQL could be playing the latter role. NoSQL and NewSQL products often are developed as MySQL alternatives.
Until now NoSQL companies have understood that the competition is not with each. The huge market that relational databases have it covered has enough potential to welcome a few solid NoSQL solutions and there’s no long term need to fight over the few people that already paid attention to them.
Make your bets.
Original title and link: Three Analyst Predictions for 2013: Hadoop, SAP, and MySQL vs NoSQL ( ©myNoSQL)
It’s unfortunate that the post focuses mostly on the usage of Spring and RabitMQ and the slidedeck doesn’t dive deeper into the architecture, data flows, and data stores, but the diagrams below should give you an idea of this truly polyglot persistentency architecture:
The slide deck presenting architecture principles and numbers about the platform after the break.
Just found slideck (embedded below) describing the data workflow at Klout. Their architecture includes many interesting pieces combining both NoSQL and relational databases with Hadoop and Hive and Pig and traditional BI. Even Excel gets a mention in the slides:
- Pig and Hive
- Elastic Search