Finally the market is getting over its initial BIG Data fixation. Unfortunately, in the process we may be inclined to throw away the Big Data signal in an attempt to rid ourselves of all the noise.
The Guardian's John Burn-Murdoch highlights this today, asserting that "'small data' - or data of the volumes most regular analysts, researchers and statisticians are used to dealing with - is actually both more relevant and more useful to the vast majority of organisations than its big cousin." He concludes, "[I]t is speed, not size that is increasingly driving desire for software and hardware... Read More >
There are 76 MongoDB User Groups (MUGs) around the globe that all share the same mission: to grow their MongoDB skills by networking with other like-minded developers, architects and engineers. This February, the MUG organizers around the world wanted to compete in a Global MongoDB User Group Hackathon. We called this global challenge MongoDB March Madness. Local user groups hacked together and build tools to support the growing MongoDB community and their final products were judged by 10gen engineers.
We challenged the groups to build tools to help the MongoDB community learn from one another.
If your business depends on the cloud, then you need to be at Structure as we explore the best approaches for implementing the cloud today. You'll meet the people getting their hands dirty with deployments.
You'll also have a chance to meet GigaOM's Top 10 Cloud Catalysts. Hand selected by our editors, these up and comers are rethinking infrastructure for the next generation of computing. We'll announce the selected participants soon, so stay tuned!
One of the largest factors affecting the performance of MongoDB is the choice of storage configuration. As data sets exceed the size of memory, the random IOPS rate of your storage will begin to dominate database performance. How you split your logs, journal and data files across drives will impact performance and the maintainability of your database. Even choice of filesystem and read-ahead settings can have a major impact. A large number of performance issues we encounter in the field are related to misconfigured or under-provisioned storage. Storage configuration is often more important than instance size in determining the... Read More >
There are a number of technical considerations involved in choosing a database for a new project, but if you’re looking to learn a new technology, you need the reassurance that there is traction in the field and resources available to grow as a developer or ops professional.
Product maturity grows due to increased usage and familiarity. MongoDB is open source and has grown along with the community--thanks both to code contributors, community testers and even those who vote on new features. If you’re learning MongoDB now,... Read More >
Gartner analyst Merv Adrian recently highlighted some of the recent movements in Hadoop Land, with several companies introducing products "intended to improve Hadoop speed."
This seems odd, as that wouldn't be my top pick for how to improve Hadoop or, really, most of the Big Data technologies out there. By many accounts, the biggest need in Hadoop is improved ease of use, not improved performance, something Adrian himself confirms:
Hadoop already delivers exceptional performance on commodity hardware, compared to its stodgy proprietary competition. Where it's still lacking is in ease of use.