Topic: dataops

DataOps engineers run toward error and automate it away

The DataOps role is unique in the space of data analytics, with its goal to enable data engineers, scientists, analysts and governance to own the pipelines that run the assembly process. Essentially, DataOps engineers work on, but not in, these pipelines, according to a DataKitchen webinar titled “A Day in the Life of a DataOps … continue reading

SaaS backup: A more scalable way to ingest cloud app data

It’s probably not surprising that, according to a 2018 Gartner survey about SaaS migration, 97% of respondents said their organization had already deployed at least one SaaS application. Today, a significant number of cloud applications have been elevated to the status of ‘critical-business system’ in just about every enterprise. These are systems that the business cannot … continue reading

SD Times news digest: DataKitchen’s DataOps Transformation Advisory Service, Netlify team overview, and Rackspace’s new IoT solutions

The new DataOps advisory service by DataKitchen aims to help customers achieve an enterprise DataOps transformation by leveraging industry-leading DataOps expertise and the company’s critical capabilities necessary to launch a successful and sustainable DataOps initiative. Customers can now choose from a menu of services such as Strategic DataOps, Technical DataOps, Maturity Model Assessment, DataOps Dojo … continue reading

Software predictions for 2020 from around the industry

Thought leaders weigh in on what we can expect from the software development industry in 2020: Adam Scroggin, CEO of CardBoard DevOps will continue to be key as we move toward 2020. Software teams will notice more and more that once a product is released, it is not done. Software products are never done. We … continue reading

Delphix 6.0 released with DataOps Marketplace

In an effort to speed up enterprise application development, Delphix has announced the latest release of the Delphix Dynamic Data Platform (DDDP). Version 6.0 is designed to eliminate test data wait times and accelerate application release cadence. The company also announced the release of its DataOps Marketplace, which aims to help data teams integrate all … continue reading

DataOps is more than just DevOps for data

Development, testing, security and operations have all been transformed to keep up with the pace of software today — but one piece is still missing. Data is now becoming a roadblock to Agile and DevOps initiatives. “People are getting stuck with data saying ‘I have my infrastructure layer automated and self-serviced so a developer can … continue reading

SD Times Open-Source Project of the Week: Titan

Data is becoming more important than ever, and developers are beginning to realize they need better ways to harness and work with data. The problem, however, is that data isn’t handled the same way development is and therefore it can become a time-consuming and complex process.  “The rise of git, docker, and DevOps has created … continue reading

The problem with data

As any business leader will tell you, data is the lifeblood of organizations operating in the 21st century. A company’s ability to effectively gather and use data can make all the difference in its success. But a number of factors can compromise data’s health, making it unmanageable and therefore unusable for today’s businesses. Specifically, data … continue reading

A guide to DataOps tools

Ascend empowers everyone to create smarter products. Ascend provides a fully-managed platform for data analysts, data scientists, and analytics/BI engineers to create Autonomous Data Pipelines that fuel analytics and machine learning applications. Leveraging the platform, these teams can collaborate and adopt DataOps best practices as they self-serve and iterate with data and create reusable, self-healing … continue reading

Is DataOps the next big thing?

After watching application teams, security teams and operations teams get the -Ops treatment, data engineering teams are now getting their own process ending in -Ops. While still in its very early days, data engineers are beginning to embrace DataOps practices. Gartner defines DataOps as “a collaborative data manager practice, really focused on improving communication, integration, … continue reading

StreamSets announces continuous data improvements for DataOps

StreamSets is expanding on its DataOps platform to bring modern data integrations to data centers and leading cloud platforms like AWS, Microsoft Azure and Google Cloud. The latest release features data drift capabilities, continuous integration and delivery automation, and policy-driven data protection. According to the company, DataOps is the idea of bringing DevOps practices to … continue reading

SD Times news digest: GitHub team discussions, MariaDB AX, and MapR Converged Data Platform 6.0

GitHub announced a new solution to talk to team members about projects, and share information. Team discussions provides a place for team members to have public or private discussions, get updates about what is going on, and stay up to date. “Gone are the days of having your issues cluttered with discussions or your pull … continue reading

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