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Data profiling tools and techniques News
December 18, 2018
Datawatch plans to add analytics and data visualization tools to its Swarm data preparation platform, starting with integration capabilities in a Swarm 2.2 release.
May 03, 2018
Self-service BI vendor Qlik is beginning to add a promised set of advanced functionality to its Qlik Sense software, but the features will be delivered in stages.
April 30, 2018
Tableau users who previously had to rely on software from other vendors to prepare data now have a new option: Tableau Prep, the BI vendor's own data preparation tool.
October 05, 2017
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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Data modeling is the process of documenting a complex software system design as an easily understood diagram, using text and symbols to represent the way data needs to flow. Continue Reading
Data quality is a perception or an assessment of data's fitness to serve its purpose in a given context. Continue Reading
High-quality data is a must for analytics applications. That's driving more demand for data quality tools, but quality initiatives are still maturing in many companies. Continue Reading
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Emerging HR analytics tools make it easier for managers to collect data on employee experiences and better quantify workforce performance, but the data can lie when misinterpreted. Continue Reading
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
This buyer's guide provides insights to help you determine if your organization could benefit from data governance software and how to navigate the buying process. Continue Reading
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By layering data risk management processes into your data governance framework, you can ensure the personally identifiable information your company stores meets GDPR compliance rules. Continue Reading
Data quality issues cost companies significant amounts of money in lost revenue and added expenses, and their impact will only get bigger when the EU starts enforcing its GDPR law. Continue Reading
To help make big data analytics applications more effective, IT teams need to augment conventional data quality processes with measures aimed at improving data usability for analysts. Continue Reading
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Flooding a Hadoop cluster with data that isn't organized and managed properly can stymie analytics efforts. Take these steps to help make your data lake accessible and usable. Continue Reading
Real-time big data analytics calls for changes in the way data systems are built. Some of the pressing challenges are discussed in this edition of the Talking Data podcast. Continue Reading
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