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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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Top 10 Data Lineage Podcasts, Blogs, and Magazines

Octopai

This podcast centers around data management and investigates a different aspect of this field each week. Within each episode, there are actionable insights that data teams can apply in their everyday tasks or projects. The host is Tobias Macey, an engineer with many years of experience. Agile Data. Malcolm Chisholm.

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9 ways IT leaders can impact sustainability initiatives

CIO Business Intelligence

Cloud migrations have been on the rise in recent years for a host of business reasons, but CIOs serious about sustainability are pulling out all the stops. On-prem data centers have an outsized impact on carbon emissions and waste. So, too, are business leaders.

IT 130
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Secrets from Data Governance Leaders: DGIQ West 2023 (June 5 – 9)

Alation

The Data Governance & Information Quality Conference (DGIQ) is happening soon — and we’ll be onsite in San Diego from June 5-9. 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. The best part?

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Governing data in relational databases using Amazon DataZone

AWS Big Data

Data governance is a key enabler for teams adopting a data-driven culture and operational model to drive innovation with data. Amazon DataZone allows you to simply and securely govern end-to-end data assets stored in your Amazon Redshift data warehouses or data lakes cataloged with the AWS Glue data catalog.

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Your Effective Roadmap To Implement A Successful Business Intelligence Strategy

datapine

1) What Is A Business Intelligence Strategy? 4) How To Create A Business Intelligence Strategy. Odds are you know your business needs business intelligence (BI). Over the past 5 years, big data and BI became more than just data science buzzwords. Table of Contents.

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For IT leaders, operationalized gen AI is still a moving target

CIO Business Intelligence

Then there’s the hard work of collecting and prepping data. Quality checks and validation are critical to create a solid base, he says, so you don’t introduce bias, which undermines customers and business. What you have to do as a CIO is take an architectural approach and invest in a common platform.”

IT 125