Leading column-family NoSQL database gets an enterprise-grade makeover, with blazing in-memory speed, Hadoop integration, and granular security controls
At the MongoDB World conference, the NoSQL darling got new enterprise-grade features and a Fortune 500 hug. Can MongoDB survive the embrace?
I'm an unabashed fan of MongoDB, the only NoSQL database just about everyone has heard of. Clients of my consultancy like MongoDB a lot because it performs well and scales out using commodity servers. Developers love it because it supports a flexible data model that makes building apps much easier than with SQL databases.
On my recent trip to MongoDB World in New York City, I interviewed MongoDB's CTO Eliot Horowitz about his recent announcement of Document Locking and the future of MongoDB. You can watch it on youtube.
On my recent trip to MongoDB World in New York City, I interviewed MongoDB's Vijay Vijayasankar and Teradata's Chris Twogood about their recent joint announcement and Teradata's future in the Big Data and NoSQL world of Hadoop and MongoDB. You can watch it on youtube.
Cassandra may not get the NoSQL spotlight, but it's fantastic for certain jobs -- just ask Netflix and Instagram
When I was at JBoss I’d frequently be asked (usually at conferences), “Where will J2EE be in five years?” I would usually answer something that sounded good, but in the back of my head I always had the same answer: “irrelevance.” That future has happened to some degree: First J2EE was renamed JavaEE, but that is cheating. Second, the kind of companies that say “new JavaEE initiative” are usually running RPG, Mainframes and COBOL, and are doing this in the big company way (i.e. headhunter’s paradise).
July 21, 2014
6:30pm - 9pm
THE DZONE BUILDING
150 Preston Executive, Cary, NC 27513
Topic: MapReduce Jobs
Eventbrite's John Shuping and Simon Willison reveal all about scaling Django, the Python Web framework developers love
I just had a great chat with the crew from Big Blue about Hadoop. We also touched on Spark, M-Lib, MongoDB, Couchbase, Cassandra and other things. I had a great time and I thank James Kobielus for inviting me.
Its about 30 minutes long and you can watch it below or on IBM's site
Apache Spark is not the 'speedy Swiss army knife,' but it could be the ticket for getting faster answers from your Hadoop cluster
My company has been considering using Spark on a client project that calls for lower latency than Hadoop can offer. The general evaluation has been about maturity, the flow of data in and out of memory, and the advantages of Spark versus more mature technologies. For this project, we didn't really consider Hadoop due to its nature.