Tag: Java
Feb 12, 2018 |
Nothing is quite so personal for programmers as what language they use. Why a data scientist, engineer, or application developer picks one over the other has as much to do with personal preference and their employers’ Read more…
Feb 8, 2018 |
Containers have emerged as legitimate platforms for running data science workloads. But are Docker and Kubernetes here for good, or is it just a passing data science fad? We looked to Anaconda’s SVP of Products and Marketing Mathew Lodge for insights on the matter. Read more…
Jan 23, 2017 |
How will data scientists work in the future? Based on today’s trends and a new survey by Forrester, it seems likely that much of the work that data scientists do will revolve around centralized platforms that help to organize not just the data and the tools, but data scientists themselves. Read more…
Jan 7, 2016 |
There’s good news if you’re for a job in data science in 2016 — the number of job openings in the field appears to be rising as companies look to leverage big data for competitive advantage. Read more…
Aug 10, 2015 |
When it comes to picking a language for writing big data applications, developers have an embarrassment of riches at their disposal. Python and R have proven popular among data scientists, while Java has been the go-to language for those developing apps on Hadoop. Read more…
May 6, 2015 |
Hadoop is hard. There’s just no way around that. Setting up and running a cluster is hard, and so is developing applications that make sense of, and create value from, big data. Read more…
May 27, 2014 |
Despite its proven ability to affordably process large amounts of data, Apache Hadoop and its MapReduce framework are being taken seriously only at a subset of U.S. supercomputing facilities and only by a subset of professionals within the HPC community. Read more…
Sep 10, 2013 |One of the side effects of the massive run-up in Hadoop deployments is the creation of a big skills shortage. IBM claims to have addressed part of that shortage with the general availability of an all-in-one Hadoop appliance that will relieve users of some of the burdens of deploying, programming, and managing a Hadoop environment. Read more…
