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Driving the Next Wave of Data Lineage Visualization with Automation

Octopai

But although this might work for absorbing small data sources into a larger one, it soon becomes impractical. A better approach is to leave the data sources alone and bring summarized versions of each into a data warehouse. The key to data lineage is metadata: – Physical location of the data.

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What Is a Metadata Management Tool?

Octopai

What enables you to use all those gigabytes and terabytes of data you’ve collected? Metadata is the pertinent, practical details about data assets: what they are, what to use them for, what to use them with. Without metadata, data is just a heap of numbers and letters collecting dust. Where does metadata come from?

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Themes and Conferences per Pacoid, Episode 8

Domino Data Lab

Data governance shows up as the fourth-most-popular kind of solution that enterprise teams were adopting or evaluating during 2019. That’s a lot of priorities – especially when you group together closely related items such as data lineage and metadata management which rank nearby. Increasingly, these were simply web servers.

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Regeneron turns to IT to accelerate drug discovery

CIO Business Intelligence

MetaBio, which received a 2022 CIO 100 Award , provides a single source for datasets in a unified format, enabling researchers to quickly extract information about various therapeutic functions without having to worry about how to prepare or find the data. At the data pipeline level, scientists use Apigee, Airflow, NiFi, and Kafka.

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

Alation

As a reminder, here’s Gartner’s definition of data fabric: “A design concept that serves as an integrated layer (fabric) of data and connecting processes. In this blog, we will focus on the “integrated layer” part of this definition by examining each of the key layers of a comprehensive data fabric in more detail.

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Data Mesh vs. Data Fabric: A Love Story

Alation

Spoiler alert: data fabric and data mesh are independent design concepts that are, in fact, quite complementary. Data fabric has captured most of the limelight; it focuses on the technologies required to support metadata-driven use cases across hybrid and multi-cloud environments. Gartner on Data Fabric.

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What Is Embedded Analytics?

Jet Global

These sit on top of data warehouses that are strictly governed by IT departments. The role of traditional BI platforms is to collect data from various business systems. Metadata Self-service analysis is made easy with user-friendly naming conventions for tables and columns. addresses). Educate your prospects.