Data quality techniques and best practices

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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.

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Data quality techniques and best practices News

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.
January 23, 2020 23 Jan'20
Hitachi Vantara acquires data catalog vendor Waterline Data

With the acquisition of Waterline Data, Hitachi Vantara is bringing new data catalog capabilities that will expand the Lumada Data Services and DataOps portfolio.
March 21, 2019 21 Mar'19
Machine learning approaches gain critical mass for data pros

Machine learning will bring change to analytics and data management, said data luminary Michael Stonebraker. Others agree managing such change will take special effort.
March 15, 2019 15 Mar'19
Big data management practices gain attention amid risks

Many data professionals have yet to solidify traditional data management practices, but they have a new set of challenges to overcome to ensure data privacy and avoid misuse.

Data quality techniques and best practices Get Started

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 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
What steps are key to building a data catalog?

An enterprise data catalog can help data stewards and other users in an organization manage metadata and explore data assets. Here are 10 key steps for creating a data catalog. 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 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
Alternative data in finance holds potentials and risks

Alternative data sources, when verified as reliable and trustworthy, can be an essential tool for financial institutions when it comes to gathering information. Continue Reading
How data governance and data management work together

Data governance is an important part of data management. These recommendations will help build a strong complementary relationship between the two strategies. Continue Reading

Manage Data quality techniques and best practices

Learn to apply best practices and optimize your operations.

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
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

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