Engineering at Meta

FEBRUARY 4, 2025

We created data logs as a solution to provide users who want more granular information with access to data stored in Hive. In this context, an individual data log entry is a formatted version of a single row of data from Hive that has been processed to make the underlying data transparent and easy to understand.

Accessibility 82

Accessibility Accessible Raw Data Data Warehouse 82

Cloudera

AUGUST 26, 2020

This robust environment makes it possible to scale to any level and support any complex data type, so companies can focus on analyzing information instead of manually integrating data. Gluent provides functionality to move data from proprietary relational database systems to Cloudera and then query that data transparently.

Machine Learning 84

Machine Learning Big Data BI Data Warehouse 84

Monte Carlo

DECEMBER 8, 2023

While both data provenance vs. data lineage are mechanisms for understanding data at early stages, they differ in use cases. Data provenance is useful for validating and auditing data. Data lineage is useful for optimizing and troubleshooting data pipelines.

Metadata 52

Metadata Data Data Warehouse Government 52

Monte Carlo

DECEMBER 8, 2023

While both data provenance vs. data lineage are mechanisms for understanding data at early stages, they differ in use cases. Data provenance is useful for validating and auditing data. Data lineage is useful for optimizing and troubleshooting data pipelines.

Metadata 52

Metadata Data Data Warehouse Government 52

Knowledge Hut

NOVEMBER 16, 2023

Thus, data engineering can be regarded as the primary step for data analysis. These engineers work in tandem with data scientists to improve data transparency and assist in effective decision-making. Data pipelining, implementing and maintaining databases are some of the main roles of a data engineer.

IT 52

IT Software Engineer Software Engineering Cloud Computing 52

Monte Carlo

DECEMBER 7, 2022

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. For a long time, GitLab used a homegrown system in an attempt to handle data reliability.

Building 52

Building Pipeline-centric Data Data Programming 52