It was unseasonably warm on the Santa Monica pier last month for the second annual Techweek Los Angeles, an event that brings together practitioners and startups in every facet of technology, from IT services to consumer tech. Many of the companies in attendance were doing highly innovative things and creating solutions that make life easier through technology, such as building a new way to date or creating the next innovation in online food ordering
In the world of Big Data, bare metal is king. Many companies are seeking an architecture that allows for full utilization of resources like I/O and throughput, but we often hear from you that when it comes to Big Data you are forced to trade the advantages of cloud (elastic, on-demand, flexible) for the consistency and predictability of bare metal. We don’t think you should have to sacrifice one for the other.
SumAll handles lots of data – its business is built on it. SumAll takes data from anywhere in the cloud – revenue data, social data, traffic data and more — and makes it really easy for customers to understand by presenting it in a single pane
Chartboost makes a technology platform that helps mobile game developers find new users and monetize games. To do that, the company runs one of the largest MongoDB databases in the world, and writes to a database of one billion objects. At Rackspace::Solve San Francisco, Chartboost Co-Founder and CTO Sean Fannan talked about how Chartboost manages scale and growth.
I spend most of my days hacking on MongoDB environments, so it’s easy for me to get pumped about new features when I hear about them. And there are a few recent MongoDB updates and announcements that have me particularly excited.
So you managed to survive the first post and are still hungering for more? Don’t worry, I got you covered. This time around, we’ll get into more of the peripheral, optional components that might be useful to you. The format will largely be the same as the first post, so let’s get right to it.
So you wanna learn you some Hadoop, eh? Well, get ready to drink from the firehose, because the Hadoop ecosystem is crammed full of software, much of which duplicates efforts, and much of which is named so similarly that it’s very confusing for newcomers.