Microsoft Data Quality Services (DQS) review
Microsoft Data Quality Services (DQS) enables you to automatically clean and standardize your organization's data to improve business intelligence (BI) performance. Learn more about DQS now.
Big Data
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Latest Articles for Big Data
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Image: Looker_Studio/Adobe Stock Big Data -
Image: iStock/z_wei Big Data 6 tips for creating effective big data models
Big data is less predictable than traditional data, and therefore requires special consideration when building models. Here are some things to keep in mind.
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Image: iStock/Nongkran_ch Big Data 3 steps for better data modeling with IT, data scientists and business analysts
Business analysts need to be involved in the process to make it less stressful for everyone, and IT and data science need to make the tech more clear.
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Image: tadamichi/Adobe Stock Big Data Top data quality tools of 2022
For analyzing and managing data quality, here are the top tools of 2022.
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Image: UX Indonesia/Unsplash Big Data Strategies for small businesses to utilize for data management
It's not just big businesses that can benefit from good data management. Here are some ways you can manage your business data.
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Image: monsitj/Adobe Stock Big Data Matillion announces Data Productivity Cloud release for future-ready data projects
During its 2022 Data Unlocked event, Matillion announced the release of Data Productivity Cloud. Learn about the release and key features here.
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Image: dennizn/Adobe Stock Software How to add a calculated column in Microsoft Power BI
Adding a calculated column in Microsoft Power BI can return helpful information at the table level. Here's how.
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Image: Molnia/Adobe Stock Big Data Data Ladder: Data quality solution review
Data Ladder performs data quality reviews as a service to ensure your data is clean, complete and accurate. Discover more now.
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Image: everything possible/Shutterstock Big Data Cloudingo: Data quality solution review
Cloudingo is a cloud-based data quality solution that provides an easy-to-use interface and data auditing capabilities. Learn more about the tool now.
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Image: fizkes/Adobe Stock Big Data IBM Infosphere QualityStage review
IBM InfoSphere QualityStage provides tools to manage the quality of your information throughout the data lifecycle and improve your business processes. Read more about this solution now.
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Image: Dmitry/Adobe Stock Big Data An introduction to data quality management frameworks
Data quality management is important for enterprise data accuracy and integrity. These frameworks can help you identify and fix problems before they impact your business.
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Imaeg: StackCommerce Software Raise your earning potential by learning business intelligence
Take a deep dive into Microsoft Power Query and Power BI with The Power Query for Excel & Power BI Course—now available for $25.
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Image: freshidea/Adobe Stock Big Data Data cleansing: A cheat sheet
Data cleansing is a process by which a computer program detects, records, and corrects inconsistencies and errors within a collection of data.
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Image: WrightStudio/Adobe Stock Big Data Data quality management: Roles & responsibilities
DQM is becoming a core capability for organizations that need to make better decisions with data. What are the responsibilities of different roles in DQM?
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Image: Friends Stock/Adobe Stock Big Data How to create a data integration strategy for your organization
Developing a strategy for integrating data across your organization helps ensure that everyone has access to the most up-to-date data in a secure way. This article provides an example of a strategy you can use to develop your own.