Skip to Content

Sponsored

Computing

DataOps and the future of data management

The practice focuses on collaboration and automation to speed delivery of analytics—and accelerate innovation.

Produced in association withHitachi Vantara

DataOps and the future of data management

DataOps and the future of data management

Businesses today are facing a mammoth digital challenge—they’re striving to find ways to extract value from data. That is, they want to achieve specific business outcomes while the volume and variety of available data are rapidly increasing.

And don’t be fooled: Searching for those specks of data gold in a roiling sea of information is no easy feat. It takes the focus and effort of data scientists to do the mining, development teams to craft analytics applications that support smarter decision-making and fuel innovation, data stewards to maintain data quality and security, and IT folks to ensure availability and performance. Different teams and different goals for data means analytics applications often take too long to develop and reach the users who need them. Or they might not do what they’re intended to, which is help grow the business.

To make analytics more effective, organizations are replacing traditional data management with an emerging set of practices focused on collaboration and automation. It’s called data operations, or DataOps, a confluence of advanced data governance and analytics delivery practices that encompasses the entire data life cycle, from data retrieval and preparation to analysis and reporting. Like DevOps, which aims to speed up software development, DataOps incorporates agile and continuous-delivery development methods supported by on-demand IT resources. DataOps promises to help organizations optimize their data management; drive initiatives involving data-intensive technologies such as artificial intelligence, machine learning, and deep learning; and consistently produce desired business outcomes.

Download the full report.

Deep Dive

Computing

A chip design that changes everything: 10 Breakthrough Technologies 2023

Computer chip designs are expensive and hard to license. That’s all about to change thanks to the popular open standard known as RISC-V.

Modern data architectures fuel innovation

More diverse data estates require a new strategy—and the infrastructure to support it.

Chinese chips will keep powering your everyday life

The war over advanced semiconductor technology continues, but China will likely take a more important role in manufacturing legacy chips for common devices.

What’s next in cybersecurity

“When it comes to really cutting off ransomware from the source, I think we took a step back.”

Stay connected

Illustration by Rose Wong

Get the latest updates from
MIT Technology Review

Discover special offers, top stories, upcoming events, and more.

Thank you for submitting your email!

Explore more newsletters

It looks like something went wrong.

We’re having trouble saving your preferences. Try refreshing this page and updating them one more time. If you continue to get this message, reach out to us at customer-service@technologyreview.com with a list of newsletters you’d like to receive.