Data quality management software news, help and research

Data quality management software News

September 24, 2020 24 Sep'20
Talend evolves enterprise data integration efforts

The CTO of Talend outlines the path the data integration vendor has taken in recent years as the market for big data has evolved along with the need to treat data as an asset.
July 28, 2020 28 Jul'20
Data accuracy vendor boosts MDM data quality

Naveego's latest platform update introduces a new user interface that looks to make it easier for users to integrate different data sources while ensuring data quality.
July 07, 2020 07 Jul'20
Informatica expands enterprise data catalog capabilities

Informatica brought new features to its enterprise data catalog, including Data Asset Analytics, a tool to help organizations understand the value of their data.
June 25, 2020 25 Jun'20
Databricks debuts Delta Engine built on top of Spark 3.0

At the Spark + AI Summit 2020, Starbucks and health IT vendor Cerner Corp. outlined how they use Databricks' Data Lake architecture to accelerate data analytics.

Bring yourself up to speed with our introductory content

What is data governance and why does it matter?

Data governance (DG) is the process of managing the availability, usability, integrity and security of the data in enterprise systems, based on internal data standards and policies that also control data usage. Continue Reading
data stewardship

Data stewardship is the management and oversight of an organization's data assets to help provide business users with high-quality data that is easily accessible in a consistent manner. Continue Reading
How data lineage tools boost data governance policies

Organizations can bolster data governance efforts by tracking the lineage of data in their systems. Get advice on how to do so and key features in data lineage tools. Continue Reading

Weigh the pros and cons of technologies, products and projects you are considering.

3 growing applications of AI in data management

There are plenty of ways AI can augment data professionals throughout the data pipeline, from sifting through large data sets for duplicates to easing the preparation process. Continue Reading
Why you should consider a machine learning data catalog

A machine learning data catalog can benefit an enterprise in a variety of ways, from increasing access to necessary data to keeping your data sources up to date. Continue Reading
What are the main features of data catalog software?

Data catalogs are curated data portals for self-service analytics users. Learn about the capabilities of data catalog tools, vendors that sell them and how catalogs work. Continue Reading

Learn to apply best practices and optimize your operations.

Big data security management embraces governance, privacy

Cyberattacks, GDPR and CCPA compliance, and COVID-19 present serious security and privacy challenges for managers tasked with protecting their data stores. Continue Reading
GDPR, CCPA, cloud drive security management tool makeovers

As data protection and privacy laws like GDPR and CCPA take hold, data managers refine governance practices, while vendors enhance traditional big data security tools. Continue Reading
Proactive practices for data quality improvement

Instead of waiting for data quality to become an issue, consider a proactive approach. Here are ways to improve data quality in your organization before it's a problem. Continue Reading

We’ve gathered up expert advice and tips from professionals like you so that the answers you need are always available.

5 steps to an improved data quality assurance plan

Consultant David Loshin offers tips on developing a data quality strategy that can help identify data errors before they cause big business problems. Continue Reading
Why data silos matter: Settling ownership of data issues

Data management is often still seen as an IT task, but that can lead to data silos. Find out why the business should be in charge of its data as part of a governance process. Continue Reading
Using data profiling techniques -- and estimating the effort required

Data profiling is a key part of data quality efforts. Here's a simple formula for calculating the amount of time needed to profile a data set. Continue Reading