AWS Big Data

APRIL 3, 2024

They understand that a one-size-fits-all approach no longer works, and recognize the value in adopting scalable, flexible tools and open data formats to support interoperability in a modern data architecture to accelerate the delivery of new solutions. Snowflake can query across Iceberg and Snowflake table formats.

Data Lake 94

Data Lake Snapshot Metadata Data Architecture 94

Cloudera

OCTOBER 11, 2022

A recent VentureBeat article , “4 AI trends: It’s all about scale in 2022 (so far),” highlighted the importance of scalability. The takeaway – businesses need control over all their data in order to achieve AI at scale and digital business transformation. First you need the data analytics, data management, and data science tools.

Snapshot 94

Snapshot Data Science Digital Transformation Metadata 94

AWS Big Data

JUNE 9, 2023

A modern data architecture enables companies to ingest virtually any type of data through automated pipelines into a data lake, which provides highly durable and cost-effective object storage at petabyte or exabyte scale. Non-blocking automatic table services (for example, compaction) that don’t impact writers or readers.

Data Lake 113

Data Lake Metadata Optimization Statistics 113

AWS Big Data

MARCH 3, 2023

Athena supports reading native Delta tables and therefore we can read the data successfully even though the Data Catalog shows only a single array column. If you need the individual column-level metadata to be available in the Data Catalog, run an AWS Glue crawler periodically to keep the AWS Glue metadata updated.

Data Lake 83

Data Lake Dashboards Metrics Metadata 83