Data quality techniques and best practices
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DBMS You Need to Know: Google vs. Oracle vs. SQL Server
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Data quality techniques and best practices News
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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.
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September 06, 2017
06
Sep'17
Energy partnership drills down on data quality issues
Breitburn Energy Partners employed data quality tools to address the business pain of bad data, using the software to give end users the means to fix data quality issues themselves.
Data quality techniques and best practices Get Started
Bring yourself up to speed with our introductory content
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data
In computing, data is information that has been translated into a form that is efficient for movement or processing. Continue Reading
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Advice on enterprise data cleansing from an SAP VP
SAP's Kristin McMahon details data cleansing best practices and explains why a good data cleanse needs continual communication, collaboration and oversight. Continue Reading
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USAA adds data engineering skills to speed data science work
When the United Services Automobile Association's data science team wasn't getting data in the right format, the team lead realized the USAA needed more data engineers. 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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Key components of an effective data virtualization architecture
Experts break down which elements -- both technical and nontechnical -- are most crucial to successfully deploying and managing a data virtualization architecture. Continue Reading
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The evolution of the data preparation process and market
Organizations have long struggled with inconsistent data and other issues. Expert Andy Hayler explores how that has led to the rise of the data preparation tools market. Continue Reading
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What are the main features of data catalog software?
Data catalogs serve as data portals for self-service business analytics users. Learn how the data is curated, what capabilities are included, the market vendors and the benefits. Continue Reading
Manage Data quality techniques and best practices
Learn to apply best practices and optimize your operations.
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Information Builders exec talks data management ethics
In this Q&A, James Cotton, director of the Data Management Centre of Excellence at Information Builders, offers advice on how organizations can carry out ethical data management. Continue Reading
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How to navigate today's business analytics governance challenges
Don't let a traditional analytics mindset lure you into complacency when it comes to advanced analytics governance. Here are the biggest governance roadblocks and how to avoid them. Continue Reading
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How to navigate the challenges of the data modeling process
Data modeling and curation can help businesses more efficiently use data they've collected. There are challenges, however -- beginning with ensuring data quality. 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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Why data silos matter: Settling ownership of data issues
Data ownership is still seen as a task for IT -- but that can lead to data silos full of redundant information. Find out why you should put the business in charge of its data. 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 apply data governance policies to data lakes -- and the benefits of doing so. Continue Reading
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How data duplication in healthcare is diagnosed
Electronic health record systems have helped reduce duplicate patient data in hospitals -- but they haven't cured the problem. Find out how organizations are addressing the issue. Continue Reading