Tag: Java
What’s Driving Python’s Massive Popularity?
Earlier this month, Python moved into the number one slot in the TIOBE Index, marking the first time in 20 years that a language named C or Java wasn’t at the top of the list. It’s a nice feather in Python’s cap, a Read more…
Newly ‘Headquarterless’ Snowflake Makes a Flurry of Announcements
Snowflake is best known as a cloud data warehouse, but it's delivering capabilities that go beyond delivering fast answers to SQL queries. These wider “data cloud” ambitions are on display this week, as the newly “ Read more…
Dataiku Gets Closer to Snowflake
Dataiku today revealed that Snowflake has invested an undisclosed amount in the data science platform provider. This comes several months after the two companies rolled out a joint offering that allows Dataiku customers Read more…
Snowflake Extends Its Data Warehouse with Pipelines, Services
Customers running atop Snowflake’s cloud data warehouse soon will find new functionality, including the ability to build ETL data pipelines , as well as the ability to expose pre-built analytic routines as data service Read more…
Python Dominates, Usage Survey Confirms
Data scientists, machine learning developers and data engineers are turning decisively to the Python programming language, according to a new study. An annual usage analysis released this week by O’Reilly Media also Read more…
Apache Spark Is Great, But It’s Not Perfect
Apache Spark is one of the most widely used tools in the big data space, and will continue to be a critical piece of the technology puzzle for data scientists and data engineers for the foreseeable future. With that said Read more…
Which Programming Language Is Best for Big Data?
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' IT Read more…
One Containerized View of Data Science’s Future
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 Marke Read more…
Data Science Platforms Seen as Difference-Makers
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 org Read more…
What Data Science Skills Employers Want Now
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. But actually landing a covet Read more…
Will Scala Take Over the Big Data World?
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 l Read more…
Wanted: A Plug-In Architecture for Hadoop Development
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. What Hadoop really needs now, says former Read more…
Making Hadoop Relevant to HPC
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 profe Read more…
IBM Ships Hadoop Appliance for the Big-Skills Challenged
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…
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