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

Engineering at Meta

Meta joins the Data Transfer Project and has continuously led the development of shared technologies that enable users to port their data from one platform to another. 2024: Users can access data logs in Download Your Information. What are data logs?

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Data Warehousing Basiscs

Data Science Blog: Data Engineering

Data Warehousing is applied Big Data Management and a key success factor in almost every company. Without a data warehouse, no company today can control its processes and make the right decisions on a strategic level as there would be a lack of data transparency for all decision makers.

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Certified technical partner solutions help customers succeed with Cloudera Data Platform

Cloudera

Gluent provides functionality to move data from proprietary relational database systems to Cloudera and then query that data transparently. The presentation of data from Cloudera within proprietary database systems is also supported. Certified Machine Learning Partners.

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What is Data Integrity?

Grouparoo

Data tokenization techniques allow the storage of critical data in secure locations while data warehouses store a token that points to the secure copy. This enables the application of security controls and protection techniques to a subset of data, transparent to processes accessing the data warehouse.

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Data Provenance vs. Data Lineage: What’s the Difference?

Monte Carlo

But, if an audit must be done, data provenance makes it easier to understand where data originated from, and what form it took before it was transformed. Especially when it comes to highly secure or regulated data, data provenance can provide data transparency when it’s most valuable.

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Data Provenance vs. Data Lineage: What’s the Difference?

Monte Carlo

But, if an audit must be done, data provenance makes it easier to understand where data originated from, and what form it took before it was transformed. Especially when it comes to highly secure or regulated data, data provenance can provide data transparency when it’s most valuable.

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How the GitLab Data Team Builds a Culture of Radical Transparency

Monte Carlo

It takes work to create and maintain—and at GitLab, radical transparency means sharing almost everything. Internally and externally, from organizational structures to first drafts to self-serve data, transparency is the name of the game.