Data quality techniques and best practices

New & Notable

Download this free guide

Databases vs. Data Warehouses vs. Data Lakes vs. Data Marts

This cheat sheet will help you better understand how each repository differs based on the type, purpose and quality of data. Plus, you’ll get an introduction to the features of data catalog software, a user-friendly metadata management system.

Corporate E-mail Address:
You forgot to provide an Email Address.
This email address doesn’t appear to be valid.
This email address is already registered. Please login.
You have exceeded the maximum character limit.
Please provide a Corporate E-mail Address.
- I agree to TechTarget’s Terms of Use, Privacy Policy, and the transfer of my information to the United States for processing to provide me with relevant information as described in our Privacy Policy.
Please check the box if you want to proceed.
- I agree to my information being processed by TechTarget and its Partners to contact me via phone, email, or other means regarding information relevant to my professional interests. I may unsubscribe at any time.
Please check the box if you want to proceed.

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.

Data quality techniques and best practices Get Started

Bring yourself up to speed with our introductory content

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

Evaluate Data quality techniques and best practices Vendors & Products

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

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
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
How to streamline your data cleansing process

Data cleansing is an important part of maintaining data quality, and the process is easier if you keep ahead of it by upholding governance and quality standards. Continue Reading

Manage Data quality techniques and best practices

Learn to apply best practices and optimize your operations.

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
Surprising insight on the data governance process

Many enterprise data governance processes have been around for a while. Read on for ways a modern approach can be beneficial, and preview a new book that can update your strategy. Continue Reading

Problem Solve Data quality techniques and best practices Issues

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