article thumbnail

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. Donna Burbank. IRM UK Connects.

article thumbnail

Top 3 Tableau Alternatives for Data Analysis in the 21st Century

FineReport

With the Desktop CS architecture, Tableau runs more smoothly in the design of business analysis. It suits IT staff and business personnel. Tableau : There are specialized modules to manage metadata. FineReport, one of the best free tableau alternatives, suits IT staff. Data Management.

KPI 52
Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

Trending Sources

article thumbnail

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.

article thumbnail

Knowledge Graphs: Redefining Data Management for the Modern Enterprise

Ontotext

Knowledge graphs can also act as a central hub that brings together not only the actual data, but also metadata. Knowledge graphs provide high-quality data based on enriched and linked metadata. Instead, it can be viewed, explored and analyzed from a single access point.

article thumbnail

What’s the Difference: Quantitative vs Qualitative Data

Alation

What Is Quantitative Data Analysis? Quantitative analysis can take two forms: the traditional business analysis of numerical data, or the more academic quantitative analysis. Traditional business analysis uses numerical methods to paint a picture, often through numerical methods, like statistics.

article thumbnail

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

AWS Big 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 this post, you use the JSON_PARSE function to convert kafka_value to a SUPER data type.

article thumbnail

Build a data lake with Apache Flink on Amazon EMR

AWS Big Data

The AWS Glue Data Catalog provides a uniform repository where disparate systems can store and find metadata to keep track of data in data silos. With unified metadata, both data processing and data consuming applications can access the tables using the same metadata. For metadata read/write, Flink has the catalog interface.