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

Cloudera

It leverages knowledge graphs to keep track of all the data sources and data flows, using AI to fill the gaps so you have the most comprehensive metadata management solution. Together, Cloudera and Octopai will help reinvent how customers manage their metadata and track lineage across all their data sources.

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Data Engineering Best Practices - #2. Metadata & Logging

Start Data Engineering

Metadata: Information about pipeline runs, & data flowing through your pipeline 3.2. Introduction 2. Setup & Logging architecture 3. Data Pipeline Logging Best Practices 3.1. Obtain visibility into the code’s execution sequence using text logs 3.3. Understand resource usage by tracking Metrics 3.4.

Metadata 130
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Metadata – Data Interoperability’s Hidden Talent (Part Two)

ArcGIS

Metadata, the data about your data, is incredibly important, and Data Interoperability can help you create, manage, and maintain that data.

Metadata 108
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Bridging the Gap: New Datasets Push Recommender Research Toward Real-World Scale

KDnuggets

Its static snapshot and lack of detailed metadata limit modern applicability. While impressive in volume, it offers minimal metadata and prioritizes click-through rate (CTR) over recommendation logic. Netflix Prize A landmark dataset in recommendеr history (~100M ratings), though now dated. Yelp Open Dataset Contains 8.6M

Datasets 126
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Interesting startup idea: benchmarking cloud platform pricing

The Pragmatic Engineer

Results are stored in git and their database, together with benchmarking metadata. Benchmarking results for each instance type are stored in sc-inspector-data repo, together with the benchmarking task hash and other metadata.  There Then we wait for the actual data and/or final metadata (e.g.

Cloud 333
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Foundation Model for Personalized Recommendation

Netflix Tech

These include attributes of the action itself (such as locale, time, duration, and device type) as well as information about the content (such as item ID and metadata like genre and release country). Therefore, its also important to let foundation models use metadata information of entities and inputs, not just member interaction data.

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Apache Iceberg v3 Table Spec: Celebrating the OSS Community’s Shared Success

Snowflake

Instead, to save space, the column values are implied until materialized through a read query and only then are the values propagated through the metadata layer (Metadata.json → Snapshot → Manifest → Datafile → Row). Entire tables can be encrypted with a single key, or access can be controlled at the snapshot level.