Data quality management software
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 management software 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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October 01, 2019
01
Oct'19
Immuta introduces new features to Automated Data Governance
The new updates also bring about native Hadoop distributed file system workspaces within Immuta and more ways to integrate Immuta with other applications and tools.
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July 31, 2019
31
Jul'19
Naveego launches tool for analyzing data quality and health
Naveego Accelerator enables users to check for inaccurate data, incomplete data or improperly formatted data to prevent inconsistencies that could cost businesses money.
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February 22, 2019
22
Feb'19
Attunity acquisition expands data management for Qlik users
Qlik's acquisition of Attunity is another sign of the BI vendor's data management ambitions -- and may help attract new users that want to unify big data and analytics.
Data quality management software 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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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
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data governance (DG)
Data governance (DG) is the overall management of the availability, usability, integrity and security of data used in an enterprise. Businesses benefit from data governance because it ensures data is consistent and trustworthy. Continue Reading
Evaluate Data quality management software 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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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
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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
Manage Data quality management software
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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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 a solid data governance strategy is a must for companies
Data management has evolved from centralized data accessible by only the IT department to a flood of data stored in data warehouses. Enter data governance. Continue Reading
Problem Solve Data quality management software 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 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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Using data profiling techniques -- and estimating the effort required
Data profiling is a key part of data quality efforts. Here's a simple formula for calculating the amount of time needed to profile a data set. Continue Reading
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Data governance tools: Part, but not all, of the governance puzzle
While tools designed for data governance are helpful, organizations must also implement best practices and standard processes to be effective. Continue Reading