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Data quality techniques and best practices News
May 29, 2020
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
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
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
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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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
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
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
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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
Data governance is an important part of data management. These recommendations will help build a strong complementary relationship between the two strategies. Continue Reading
Statistics on data quality are the most common metrics used to track data governance programs, but other types of data-related measurements also can be applied. Continue Reading
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Cyberattacks, GDPR and CCPA compliance, and COVID-19 present serious security and privacy challenges for managers tasked with protecting their data stores. Continue Reading
As data protection and privacy laws like GDPR and CCPA take hold, data managers refine governance practices, while vendors enhance traditional big data security tools. Continue Reading
Data architecture can be tricky when it comes to real-time analytics. Clear objectives and scalability are important factors when determining the streaming data architecture you need. Continue Reading
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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
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
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