hadoop

Come on, stop your Hadoop hate speech, and simply bring SpaceCurve on the bandwagon against this patent.

We're looking to add Ember, Hadoop and an NLP engine to our stack.

We like to crunch numbers, log files and whatever else we can get our hands on in Hadoop and Storm.

Think about how much work has gone into big data solutions like hadoop, spark and storm which requires technical data scientists/BAs/Devs to gather insights.

You can also hook it up to large scale service like hadoop/spark.

I keep these synced up heavily with cloud-based solutions like GDrive, Evernote, and VPN access to the hadoop clusters I work with.

I suppose I could also see the need to use object pooling for a very busy server or a very large hadoop job.

We use hadoop, hbase, kafka, scalding, spark and we have a great culture of getting stuff done working with excellent people.

That's how we allow people to setup workers on spark hadoop (that then delegate numerical workloads to gpus or a lower level blas) Pylearn2 also supports yaml.

Overall, the architecture of the time-series database implied in the patent is consistent with someone that learned their poor distributed system habits from the Hadoop ecosystem and decided to reinvent the time-series database without knowing much about how those systems actually work.

Looking for front-end (React/Flux, Backbone, ES6/CoffeeScript) and back-end (java, hbase, kafka, hadoop) developers who enjoy working in small teams that own significant parts of our products.

:) So yes, even we are building out a pretty beefy internal Hadoop cluster, so I would never say that it will be all-relational-all-the-time.

However, the types of computation performed by the top supercomputers are rarely the "embarassingly parallel" programs you can easily distribute via an @Home-style program, or something like Hadoop.

Some people say "Big Data" or "NoSQL" when they really just mean Hadoop or MapReduce, but NoSQL just literally means "everything that's not SQL." SQL is still great.

We leverage the latest mature technology – Hadoop, ElasticSearch, and more – to change the way the world uses energy.

It is not an accident that new things like Hadoop, Elasticsearch, iText for PDF, etc got written with Java first.

This is the perfect role for somebody that loves Go, Docker, Kubernetes, Mesos, Hadoop/Spark, and distributed systems.