Data quality techniques, best practices and research

Data quality techniques and best practices News

October 16, 2020 16 Oct'20
The new normal for enterprise data governance

Mastercard data exec highlights the foundational role of enterprise data governance during the pandemic era with more people working from home and new demands on businesses.
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.
September 15, 2020 15 Sep'20
The evolving role of the chief data officer

The job of the chief data officer is expanding to be more strategic as the need for organizations to connect and make sense of vast sums of data continues to grow.
May 29, 2020 29 May'20
Improving enterprise data governance with data trust

Talend users from Covanta and AutoZone provide insight into data management challenges amid growing data complexity at the Talend Connect virtual conference.

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Key steps in the feature engineering process

Feature engineering is key to machine learning algorithms. Read on to learn how those features are created and chosen to increase the accuracy of those models. Continue Reading
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 governance policy

A data governance policy is a documented set of guidelines for ensuring that an organization's data and information assets are managed consistently and used properly. Continue Reading

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The top 6 use cases for a data fabric architecture

Enterprise data fabric adoption has been on the rise as a way to ensure access and data sharing in a distributed environment. Here are the top use cases for data fabrics. Continue Reading
Data protection officer responsibilities and role importance

The data protection officer title has been growing over the last few years, and organizations are still working to grasp the full responsibilities of the role. Continue Reading
How AI data privacy can help your enterprise

Enterprises benefit in many ways from AI data privacy tools that reduce the need for manual efforts from data professionals. Read on for top use cases for the growing technology. Continue Reading

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Data lineage documentation imperative to data quality

Understanding the detailed journey of data elements throughout the data pipeline can help an enterprise maintain data quality and improve trustworthiness. Continue Reading
Pandemic exposes difficulty of data management in education

Limited resources and a shift to remote learning have shown the inequalities across school districts when it comes to data management and the negative impact this can have. Continue Reading
Top 5 feature engineering tips for better models

From understanding a model's expected goal to factoring in subject matter expertise, experts talk about the best ways to improve your feature engineering. Continue Reading

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

Data governance and COVID-19 data security challenges

Maintaining data governance and data security best practices is essential now more than ever. But the increase in working from home can put a strain on those practices. Continue Reading
Common data lake challenges and how to overcome them

Managing the data contained in your enterprise data lake presents many challenges. From the amount of data to data inconsistencies, here are some solutions to common issues. Continue Reading
What data lake governance challenges do organizations face?

Consultant Anne Marie Smith details five challenges that an organization may face in applying data governance policies to data lakes and offers advice on how to overcome them. Continue Reading