Remove Data Governance Remove DataOps Remove Machine Learning
article thumbnail

Is DataOps the Savior of Under-Pressure Analytics Teams?

Dataversity

DataOps is something that has been building up at the edges of enterprise data strategies for a couple of years now, steadily gaining followers and creeping up the agenda of data professionals. The number of data requests from the business keeps growing […].

DataOps 110
article thumbnail

How to Ensure Continuous Improvement With Data Governance

Alation

The goal of DataOps is to create predictable delivery and change management of data and all data-related artifacts. DataOps practices help organizations overcome challenges caused by fragmented teams and processes and delays in delivering data in consumable forms. So how does data governance relate to DataOps?

professionals

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

article thumbnail

9 data governance strategies that will unlock the potential of your business data

IBM Journey to AI blog

The best way to build a strong foundation for data success is through effective data governance. Access to high-quality data can help organizations start successful products, defend against digital attacks, understand failures and pivot toward success.

article thumbnail

Alation Launches Data Governance App and Supporting Service Offering

Alation

The importance of data governance is growing. Here at Alation, we’ve seen the demand for new robust governance capabilities skyrocket in the past year. Alation Data Governance App. The Data Governance App introduces a range of new capabilities to make governance more easy and effective.

article thumbnail

Big data management

Dataconomy

The importance of big data management Efficient big data management is crucial for organizations to: Leverage analytics: Improved analytics enable businesses to make better-informed decisions. Maintain competitive advantage: Data-driven strategies help organizations stay ahead in their industries.

article thumbnail

AIOps vs. MLOps: Harnessing big data for “smarter” ITOPs

IBM Journey to AI blog

Instead, businesses tend to rely on advanced tools and strategies—namely artificial intelligence for IT operations (AIOps) and machine learning operations (MLOps)—to turn vast quantities of data into actionable insights that can improve IT decision-making and ultimately, the bottom line.

Big Data 106
article thumbnail

The Audience for Data Catalogs and Data Intelligence

Alation

The product concept back then went something like: In a world where enterprises have numerous sources of data, let’s make a thing that helps people find the best data asset to answer their question based on what other users were using. And to determine “best,” we’d ingest log files and leverage machine learning.

DataOps 52