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Data Governance and Metadata Management: You Can’t Have One Without the Other

erwin

When an organization’s data governance and metadata management programs work in harmony, then everything is easier. Data governance is a complex but critical practice. There’s always more data to handle, much of it unstructured; more data sources, like IoT, more points of integration, and more regulatory compliance requirements.

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Choosing the right Data Warehouse SQL Engine: Apache Hive LLAP vs Apache Impala

Cloudera

Some of the most powerful results come from combining complementary superpowers, and the “dynamic duo” of Apache Hive LLAP and Apache Impala, both included in Cloudera Data Warehouse , is further evidence of this. Both Impala and Hive can operate at an unprecedented and massive scale, with many petabytes of data.

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CCPA 2020: Getting Your Data Landscape Ready

Octopai

From California’s new data privacy law going into full effect to potential new U.S. federal data privacy laws on top of an alphabet soup of global laws and regulations, the name of the game for 2020 is going to be “compliance.”. The California Consumer Privacy Act (CCPA) came into effect on January 1, 2020.

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Highlights from the 2020 Business Glossary Automation Survey

Octopai

Octopai and Dataversity collaborated to conduct The 2020 Business Glossary Automation Survey. They collected insights from 293 business and IT professionals across a wide range of industries, shining light on why automation metadata operations and the business glossary are priorities for organizations today. That’s a really big deal.

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2020: The Year of the Automated Business Glossary

Octopai

According to the Chinese Zodiac, 2020 is the year of the rat. Well, scoot over Templeton, because it’s also going to be the year of the Automated Business Glossary for business intelligence and data governance teams everywhere. The post 2020: The Year of the Automated Business Glossary appeared first on Octopai.

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Data Dictionary Best Practices in 2020

Octopai

The data dictionary remains a crucial tool for BI teams to organize their metadata. The implementation of automation in data technology has made these tools even more powerful. Here is a brief overview of the state of the business data dictionary in 2020 and some best practices to which all data teams should adhere.

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Data Dictionary Best Practices in 2020

Octopai

The data dictionary remains a crucial tool for BI teams to organize their metadata. The implementation of automation in data technology has made these tools even more powerful. Here is a brief overview of the state of the business data dictionary in 2020 and some best practices to which all data teams should adhere.