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What is data governance? Best practices for managing data assets

CIO Business Intelligence

The program must introduce and support standardization of enterprise data. Programs must support proactive and reactive change management activities for reference data values and the structure/use of master data and metadata.

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What is a business intelligence analyst? A key role for data-driven decisions

CIO Business Intelligence

This is done by mining complex data using BI software and tools , comparing data to competitors and industry trends, and creating visualizations that communicate findings to others in the organization.

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Deep automation in machine learning

O'Reilly on Data

have a large body of tools to choose from: IDEs, CI/CD tools, automated testing tools, and so on. are only starting to exist; one big task over the next two years is developing the IDEs for machine learning, plus other tools for data management, pipeline management, data cleaning, data provenance, and data lineage.

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“You Complete Me,” said Data Lineage to DataOps Observability.

DataKitchen

DataOps Observability includes monitoring and testing the data pipeline, data quality, data testing, and alerting. Data testing is an essential aspect of DataOps Observability; it helps to ensure that data is accurate, complete, and consistent with its specifications, documentation, and end-user requirements.

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Top 15 data management platforms available today

CIO Business Intelligence

How to choose which DMP is right for your organization While each organization will have its own unique needs, a number of common factors are important to keep in mind when selecting a data management platform. The platform’s data collection, storage, scalability, and processing capabilities will also weigh heavily in making your choice.

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Top 15 data management platforms

CIO Business Intelligence

Advertisers use OnAudience to build an understanding of their audience from data collected from multiple sources. Its Integrated Process Designer is a visual tool to create data flows that integrate data to produce concise reports. OnAudience. Agencies and ad buyers for large clients turn to Simpli.fi

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Improving Multi-tenancy with Virtual Private Clusters

Cloudera

While this approach provides isolation, it creates another significant challenge: duplication of data, metadata, and security policies, or ‘split-brain’ data lake. Now the admins need to synchronize multiple copies of the data and metadata and ensure that users across the many clusters are not viewing stale information.