Remove Business Analysis Remove Metadata Remove Publishing
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Top 10 Metadata Management Influencers, Sites, and Blogs You Must Follow in 2021

Octopai

Aptly named, metadata management is the process in which BI and Analytics teams manage metadata, which is the data that describes other data. In other words, data is the context and metadata is the content. Without metadata, BI teams are unable to understand the data’s full story. It is published by Robert S.

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Top 10 Key Features of BI Tools in 2020

FineReport

Metadata management. Users can centrally manage metadata, including searching, extracting, processing, storing, sharing metadata, and publishing metadata externally. The metadata here is focused on the dimensions, indicators, hierarchies, measures and other data required for business analysis.

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Best practices to implement near-real-time analytics using Amazon Redshift Streaming Ingestion with Amazon MSK

AWS Big Data

A topic in your MSK cluster where your data producer can publish data. ORDERTOPIC" WHERE CAN_JSON_PARSE(kafka_value); The metadata column kafka_value that arrives from Amazon MSK is stored in VARBYTE format in Amazon Redshift. For instructions, refer to Create a workgroup with a namespace. An MSK cluster.

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Bridge the Gap Between Reporting and Data Visualization in Power BI

Jet Global

With fast, flexible dashboards and reports in Excel and Power BI, Jet allows you to bring all your data together in one place, enabling everyone in the organization to easily perform sophisticated business analysis from anywhere, anytime, without technical expertise.