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Octopai Acquisition Enhances Metadata Management to Trust Data Across Entire Data Estate

Cloudera

In today’s heterogeneous data ecosystems, integrating and analyzing data from multiple sources presents several obstacles: data often exists in various formats, with inconsistencies in definitions, structures, and quality standards. This automated data catalog always provides up-to-date inventory of assets that never get stale.

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How to get started with dbt

Christophe Blefari

You can also add metadata on models (in YAML). In a nutshell the dbt journey starts with sources definition on which you will define models that will transform these sources to something else you'll need in your downstream usage of the data. You can read dbt's official definitions.

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Movie Recommendation System: Definition, Strategies, Usecase

Knowledge Hut

Content-Based Filtering Content-based filtering utilizes the attributes & metadata of a movie to generate recommendations that share similar properties. However, the quality of content-based filtering can be affected if a movie's metadata is incorrectly labeled, misleading or limited in scope.

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Ready-to-go sample data pipelines with Dataflow

Netflix Tech

Workflow Definitions Below you can see a typical file structure of a sample workflow package written in SparkSQL. ??? In every sample workflow package there are three workflow definition files that work together to provide flexible functionality. Attributes are set via Metacat , which is a Netflix internal metadata management platform.

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Collecting And Retaining Contextual Metadata For Powerful And Effective Data Discovery

Data Engineering Podcast

Can you share your definition of "data discovery" and the technical/social/process components that are required to make it viable? Can you share your definition of "data discovery" and the technical/social/process components that are required to make it viable?

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A Definitive Guide to Using BigQuery Efficiently

Towards Data Science

depending on location) BigQuery maintains a lot of valuable metadata about tables, columns and partitions. Utilize INFORMATION_SCHEMA to retrieve table metadata like distinct partition values, significantly reducing costs compared to traditional queries. GB Assuming we are running a SELECT * on this table, it would cost us 5.78

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Tracking Schema Changes in Iceberg Tables Using Metadata Files

Cloudyard

When using Iceberg tables, every Data Definition Language ( DDL ) operation triggers the generation of a new metadata JSON file that captures the updated structure. This article outlines a process for efficiently tracking schema changes in Iceberg tables by leveraging Snowflake’s powerful metadata storage capabilities.