Remove Accessibility Remove Definition Remove Metadata
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Octopai Acquisition Enhances Metadata Management to Trust Data Across Entire Data Estate

Cloudera

Cloudera, together with Octopai, will make it easier for organizations to better understand, access, and leverage all their data in their entire data estate – including data outside of Cloudera – to power the most robust data, analytics and AI applications.

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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.

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What Is Kubernetes? Definitive Guide for Dummies

Knowledge Hut

This means that you can always know exactly where your data is stored and how it is accessed. This system is designed to provide a way for applications to access data stored on a remote server without having to copy the data to the local machine. It houses metadata and both the desired and current state for each resource.

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A Definitive Guide to Using BigQuery Efficiently

Towards Data Science

With on-demand pricing, you will generally have access to up to 2000 concurrent slots, shared among all queries in a single project, which is more than enough in most cases. Choosing the right model depends on your data access patterns and compression capabilities. GB / 1024 = 0.0056 TB * $8.13 = $0.05 in europe-west3.

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Modern Data Architecture: Data Mesh and Data Fabric 101

Precisely

Data fabric is a unified approach to data management, creating a consistent way to manage, access, and share data across distributed environments. As data management grows increasingly complex, you need modern solutions that allow you to integrate and access your data seamlessly.

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Data Warehouse vs Data Lake vs Data Lakehouse: Definitions, Similarities, and Differences

Monte Carlo

A warehouse can be a one-stop solution, where metadata, storage, and compute components come from the same place and are under the orchestration of a single vendor. For metadata organization, they often use Hive, Amazon Glue, or Databricks. One advantage of data warehouses is their integrated nature.

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Increase data literacy and trust with Alation data catalog integration

ThoughtSpot

How ThoughtSpot builds trust with data catalog connectors For many, the data catalog is still the primary home for metadata enrichment and governance. Our data catalog integrations allow you to tap into this metadata wealth and surface it in the context where it’s needed most—when conducting business analytics.

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