Remove Accessible Remove Metadata Remove Systems
article thumbnail

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.

article thumbnail

Data logs: The latest evolution in Meta’s access tools

Engineering at Meta

Here we explore initial system designs we considered, an overview of the current architecture, and some important principles Meta takes into account in making data accessible and easy to understand. Users have a variety of tools they can use to manage and access their information on Meta platforms. feature on Facebook.

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

Why Open Table Format Architecture is Essential for Modern Data Systems

phData: Data Engineering

The world we live in today presents larger datasets, more complex data, and diverse needs, all of which call for efficient, scalable data systems. These systems are built on open standards and offer immense analytical and transactional processing flexibility. These formats are transforming how organizations manage large datasets.

article thumbnail

How Apache Iceberg Is Changing the Face of Data Lakes

Snowflake

The data warehouse solved for performance and scale but, much like the databases that preceded it, relied on proprietary formats to build vertically integrated systems. Iceberg tables become interoperable while maintaining ACID compliance by adding a layer of metadata to the data files in a users object storage.

article thumbnail

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. With data volumes skyrocketing, and complexities increasing in variety and platforms, traditional centralized data management systems often struggle to keep up.

article thumbnail

Interesting startup idea: benchmarking cloud platform pricing

The Pragmatic Engineer

The startup was able to start operations thanks to getting access to an EU grant called NGI Search grant. 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

Cloud 314
article thumbnail

Metadata Management And Integration At LinkedIn With DataHub

Data Engineering Podcast

The key to those solutions is a robust and flexible metadata management system. LinkedIn has gone through several iterations on the most maintainable and scalable approach to metadata, leading them to their current work on DataHub. What were you using at LinkedIn for metadata management prior to the introduction of DataHub?

Metadata 100