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Visualize data quality scores and metrics generated by AWS Glue Data Quality

AWS Big Data

AWS Glue Data Quality allows you to measure and monitor the quality of data in your data repositories. It’s important for business users to be able to see quality scores and metrics to make confident business decisions and debug data quality issues. An AWS Glue crawler crawls the results.

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Set up alerts and orchestrate data quality rules with AWS Glue Data Quality

AWS Big Data

Alerts and notifications play a crucial role in maintaining data quality because they facilitate prompt and efficient responses to any data quality issues that may arise within a dataset. This proactive approach helps mitigate the risk of making decisions based on inaccurate information.

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Leveraging AI to discover and classify your data in a complex and dynamic landscape

Laminar Security

As we continue to generate and interact with increasing volumes of data, the role of AI in data discovery will only become more significant. The power of AI and data classification Data classification , often referred to as “tagging” or “labeling”, is a crucial process that categorizes data based on its type and sensitivity.

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Data Profiling: What It Is and How to Perfect It

Alation

For any data user in an enterprise today, data profiling is a key tool for resolving data quality issues and building new data solutions. In this blog, we’ll cover the definition of data profiling, top use cases, and share important techniques and best practices for data profiling today.

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The Best Data Management Tools For Small Businesses

Smart Data Collective

Data management has become a fundamental business concern, and especially for businesses that are going through a digital transformation. A survey from Tech Pro Research showed that 70 percent of organisations already have a digital transformation strategy or are developing one. What is data management?

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At the Top of Everyone’s List

Alation

To draw up the ShortList, Constellation Research’s Vice President and Principal Analyst Doug Henschen evaluated more than a dozen of the industry’s best data cataloging solutions, judging companies based on a combination of client inquiries, partner conversations, customer references, vendor selection projects, market share and internal research.

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Best Practices for Metadata Management

Alation

It’s useful for data governance, compliance, controls, and data management. Reference information. This includes information on quality, sources, processes used, schemas, and formulas. It’s useful in determining how data can be utilized. High volumes of data and metadata are a growing problem.

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