Data quality techniques and best practices
New & Notable
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.
Data quality techniques and best practices News
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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.
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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.
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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.
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October 05, 2017
05
Oct'17
Big data systems up ante on data quality measures for users
At the Strata conference in New York, IT managers detailed steps they're taking to improve data quality in their big data environments in order to help ensure analytics accuracy.
Data quality techniques and best practices Get Started
Bring yourself up to speed with our introductory content
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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
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master data management (MDM)
Master data management (MDM) is a process that creates a uniform set of data on customers, products, suppliers and other business entities from different IT systems. Continue Reading
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data quality
Data quality is a measure of the condition of data based on factors such as accuracy, completeness, consistency, reliability and whether it's up to date. Continue Reading
Evaluate Data quality techniques and best practices Vendors & Products
Weigh the pros and cons of technologies, products and projects you are considering.
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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
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Evaluate your data governance and privacy best practices
GDPR and CCPA have put data governance in the news recently. With this increase in legislation on data, now is a great time to review your company's data governance policies. Continue Reading
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How AI could save the enterprise data catalog
Enterprise data catalogs record all the databases and files in a corporation, but sometimes it can become out of date. Advances in AI are helping minimize the problem. Continue Reading
Manage Data quality techniques and best practices
Learn to apply best practices and optimize your operations.
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Proactive practices for data quality improvement
Instead of waiting for data quality to become an issue, consider a proactive approach. Here are some ways to improve data quality in your organization before it becomes a problem. Continue Reading
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How to improve data governance for self-service analytics
Citizen data scientists and self-service analytics are on the rise as the data scientist shortage continues. Here are some data management best practices to support them. Continue Reading
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Data catalog best practices rely on teamwork, governance, tools
This handbook provides advice on creating data catalogs to help data analysts and other users find information in corporate systems, plus insight on data catalog trends. 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.
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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
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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
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What data lake governance challenges do organizations face?
Expert Anne Marie Smith explores challenges an organization may face when applying data governance policies to data lakes -- and the benefits of doing so. Continue Reading