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The Ultimate Guide to Modern Data Quality Management (DQM) For An Effective Data Quality Control Driven by The Right Metrics

datapine

1) What Is Data Quality Management? 4) Data Quality Best Practices. 5) How Do You Measure Data Quality? 6) Data Quality Metrics Examples. 7) Data Quality Control: Use Case. 8) The Consequences Of Bad Data Quality. 9) 3 Sources Of Low-Quality Data.

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Governing data in relational databases using Amazon DataZone

AWS Big Data

As you experience the benefits of consolidating your data governance strategy on top of Amazon DataZone, you may want to extend its coverage to new, diverse data repositories (either self-managed or as managed services) including relational databases, third-party data warehouses, analytic platforms and more.

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Modernize your ETL platform with AWS Glue Studio: A case study from BMS

AWS Big Data

BMS’s EDLS platform hosts over 5,000 jobs and is growing at 15% YoY (year over year). Manually upgrading, testing, and deploying over 5,000 jobs every few quarters was time consuming, error prone, costly, and not sustainable. It retrieves the specified files and available metadata to show on the UI.

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Build efficient ETL pipelines with AWS Step Functions distributed map and redrive feature

AWS Big Data

There are multiple tables related to customers and order data in the RDS database. Amazon S3 hosts the metadata of all the tables as a.csv file. This is especially true when you are processing millions of items and you expect data quality issues in the dataset. Choose the workflow named ETL_Process.

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Data Governance for Dummies: Your Questions, Answered

Alation

This past week, I had the pleasure of hosting Data Governance for Dummies author Jonathan Reichental for a fireside chat , along with Denise Swanson , Data Governance lead at Alation. In the final consumption layer, the data fields could be tagged for governance, PII specifics, and advanced classification and categorization.

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From Data Silos to Data Fabric with Knowledge Graphs

Ontotext

The Data Fabric paradigm combines design principles and methodologies for building efficient, flexible and reliable data management ecosystems. Knowledge Graphs are the Warp and Weft of a Data Fabric. To implement any Data Fabric approach, it is essential to be able to understand the context of data.

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Secrets from Data Governance Leaders: DGIQ West 2023 (June 5 – 9)

Alation

If you’re not familiar with DGIQ, it’s the world’s most comprehensive event dedicated to, you guessed it, data governance and information quality. This year’s DGIQ West will host tutorials, workshops, seminars, general conference sessions, and case studies for global data leaders.