While perhaps not offering new conclusions about the hottest technologies in the software development arena, a new Developer Economics survey from SlashData provides more hard evidence that data science and machine learning are the top skills developers want to learn.
Data science and advanced analytics specialist Dataiku announced version 5 of its flagship platform, with new capabilities to enable scalable enterprise AI.
Hortonworks, IBM and Red Hat announced the Open Hybrid Architecture Initiative, seeking to provide a common enterprise deployment model to enable Big Data workloads to run across hybrid on-premises, multi-cloud and edge architectures.
The latest update from MapR, which now describes itself as offering "the industry's leading data platform for AI and analytics," reflects a broader Big Data industry shift from Hadoop, Spark and so on to machine learning and other artificial intelligence technologies.
Big Data specialist MapR Technologies has added support for the Amazon Elastic Container Service for Kubernetes (Amazon EKS) to its flagship data platform.
Cask Data, known for its open source Cask Data Application Platform (CDAP), recently announced that it's being acquired by Google's cloud division.
Many database developers were thrilled with Apple's decision to open source FoundationDB, a distributed datastore it acquired three years ago.
Mode Analytics, seeking to make the power of data analysis "accessible to everyone," announced a toolkit that it said will be free forever, offering some core capabilities of its business data platform that includes new support for R Notebooks.
A skills shortage is hampering the advance of artificial intelligence, according to industry research, and AI technology that empowers a rise of "citizen data scientists" may be the answer.
We interviewed data scientists and scoured the Web to round up the most popular options for building a data science toolkit in 2018, starting with a look at programming languages.
LinkedIn engineers have open sourced a homegrown Big Data scale testing tool following a "crisis" they experienced after adding 500 machines to a Hadoop Distributed File System cluster, resulting in disastrous slowdowns.
Microsoft has shipped a v2 preview of its Azure Data Factory -- a cloud-based, Big Data integration service -- that borrows from the visual, low-code development approach that has seen skyrocketing popularity of late.
The cloud rivals partner on project described as an open source deep learning interface that allows developers 'to more easily and quickly build machine learning models without compromising training performance.'
Among a bevy of data-related announcements at the Microsoft Ignite conference today in Orlando was the news that SQL Server 2017 will be generally available next Monday, Oct. 2.
Stack Overflow data indicates the increasing use of Python -- possibly propelled by its data science friendliness -- has driven it to new levels of popularity, making it the "fastest-growing major programming language."
Apache Kafka, a popular Big Data component for distributed data streaming, is getting an automation boost from a new open source offering from LinkedIn called Cruise Control.
Expanded SQL support is among many improvements to the new Kyvos 4.0 platform, for BI on Big Data with Hadoop, Spark and cloud platforms.
While it's notoriously tough for enterprises to find skilled developers for mobile and data science initiatives, a new report from Canonical indicates a skills gap is also affecting recruitment for the growing IoT space.
Here's an update on recent happenings in the world of Big Data analytics, featuring a new open source visualization tool from Google, a reference architecture for Big Data in the cloud and a Big Data integrator developer's edition.
With low-code/no-code tools revamping enterprise app development, analytics firm SlamData has come out with a release of its namesake platform claiming to provide "no-code BI for NoSQL."