Cloudera

AUGUST 9, 2022

The DRRA focuses on describing how to think about reliability, resiliency, and recovery for the Cloudera Data Platform, and is a living document describing our collected learning across the platform and across customers. . Automating the healing, recovery, scaling, and rebalancing of core data services such as our Operational Database.

Data Lake 78

Data Lake Data Warehouse Data-driven IoT 78

Cloudera

OCTOBER 7, 2021

Those decentralization efforts appeared under different monikers through time, e.g., data marts versus data warehousing implementations (a popular architectural debate in the era of structured data) then enterprise-wide data lakes versus smaller, typically BU-Specific, “data ponds”.

Metadata 124

Metadata Cost-Benefit Enterprise Interactive 124

AWS Big Data

JUNE 7, 2023

Cargotec captures terabytes of IoT telemetry data from their machinery operated by numerous customers across the globe. This data needs to be ingested into a data lake, transformed, and made available for analytics, machine learning (ML), and visualization. mode('overwrite').save(output_path mode('overwrite').save(output_path

Metadata 55

Metadata Data Lake Machine Learning Big Data 55

IBM Big Data Hub

JANUARY 18, 2023

In another decade, the internet and mobile started the generate data of unforeseen volume, variety and velocity. It required a different data platform solution. Hence, Data Lake emerged, which handles unstructured and structured data with huge volume. Metadata plays a key role here in discovering the data assets.

Data Lake 52

Data Lake Data Warehouse Data-driven Metadata 52

Alation

APRIL 14, 2022

For example, data science always consumes “historical” data, and there is no guarantee that the semantics of older datasets are the same, even if their names are unchanged. Pushing data to a data lake and assuming it is ready for use is shortsighted. It’s not a simple definition.

Metadata 59

Metadata Data Governance Modeling Data-driven 59