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By Richard Seeley
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.
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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.
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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.
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By John K. Waters
While more enterprise developers and their teams are adopting DevOps practices across both applications and databases, a Redgate Software survey suggests some industry verticals are "turning their backs on DevOps."
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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.
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Amazon Web Services published a new Quick Start for using Couchbase, the popular document-oriented NoSQL database, on its cloud computing platform.
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Realm has updated its mobile app development platform, adding a studio tool that gives developers new insights into stored device data and interactions with that data, among other new features.
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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.'
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Google announced a new cloud-based NoSQL database called Cloud Firestore for its Firebase development platform, which supports mobile and Web app programming.
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By John K. Waters
Toad DevOps Toolkit addresses a potential bottleneck in the continuous integration/continuous delivery (CI/CD) pipeline: Oracle database changes.
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Quest Software, known for its popular Toad database management tool, is now pointing it at the growing DevOps space with the upcoming Toad DevOps Toolkit.
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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.
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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."
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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.
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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.
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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.
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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.
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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."
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Jobs-related data also confirms San Francisco and Seattle are the hot places to work, though Dallas and Philadelphia are "hidden gems."
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The next-generation edition of Microsoft's flagship relational database system, SQL Server 2017, took a step closer to general availability with this week's launch of the first Release Candidate.
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"It's at the forefront of artificial intelligence," says Dr. Patrick Lucey of STATS LLC about the sports analytics field.
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Latest Skill Up report from Packt Publishing finds Python is the No. 1 dev tool, Docker generates the most interest in learning and Big Data specialists make the big bucks.
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Cask is now offering a sandbox on the Amazon Web Services Inc. (AWS) cloud to let users more easily and quickly evaluate the company's flagship Big Data platform.
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MySQL is the most popular database, according to a startup's new Web site feature that ranks various development tools according to their usage in the technology stacks used by different companies.
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MongoDB, the popular open source, document-oriented, NoSQL database, has unveiled its own Backend-as-a-Service offering, promising to relieve data developers from the drudgery of writing boilerplate code.