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DataOps Mission Control And Managing Your Data Infrastructure Risk

DataKitchen

What are my pass/fail metrics over time in production? Is my dashboard displaying the correct data? They have a Low Change Appetite: Teams have complicated in place data architectures and tools. There is no single pane of glass: no ability to see across all tools, pipelines, data sets, and teams in one place.

Risk 130
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A Day in the Life of a DataOps Engineer

DataKitchen

First, you must understand the existing challenges of the data team, including the data architecture and end-to-end toolchain. Figure 8: The DataKitchen Platform tracks collaboration, productivity and quality metrics. A DataOps implementation project consists of three steps. About the Author. Priyanjna Sharma.

Testing 152
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5 Data Governance Mistakes to Avoid

Alation

More specifically, it describes the process of creating, administering, and adapting a comprehensive plan for how an organization’s data will be managed. In this way, data governance has implications for a wide range of data management disciplines, including data architecture, quality, security, metadata, and more.

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5 Data Governance Mistakes to Avoid

Alation

More specifically, it describes the process of creating, administering, and adapting a comprehensive plan for how an organization’s data will be managed. In this way, data governance has implications for a wide range of data management disciplines, including data architecture, quality, security, metadata, and more.

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What Is a Data Fabric and How Does a Data Catalog Support It?

Alation

In a practical sense, a modern data catalog should capture a broad array of metadata that also serves a broader array of consumers. In concrete terms, that includes metadata for a broad array of asset classes, such as BI reports, business metrics, business terms, domains, functional business processes, and more.

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The Gartner 2022 Leadership Vision for Data and Analytics Leaders Questions and Answers

Andrew White

On Thursday January 6th I hosted Gartner’s 2022 Leadership Vision for Data and Analytics webinar. There were 80 or so questions or comments posted and I was not able to respond to all of them live in the webinar so here are the verbatim questions and an individual response to each on. I hope they are helpful.

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Birst automates the creation of data warehouses in Snowflake

Birst BI

Customers such as Crossmark , DJO Global and others use Birst with Snowflake to deliver the ultimate modern data architecture. Data never leaves Snowflake with Birst’s ability to support the reporting and self-service needs of both centralized IT and decentralized LOB teams.