Cloud Computing | News, how-tos, features, reviews, and videos
Announcements at AWS re:Invent show a kinder, gentler Amazon, ready to integrate its own services and third-party data sources.
This week at its re:Invent conference, AWS launched new services and features across its storage, compute, analytics, machine learning, database, and security services, and made a foray into supply chain management.
Recent trends show a return to cloud fundamentals, such as data, development, deployment, and security, rather than chasing what’s new and cool.
Informatica INFACore promises to simplify the creation of data pipelines for building and deploying machine learning models in Amazon SageMaker Studio.
A major theme at re:Invent 2022 was Amazon's efforts to ease data management, as AWS announced new ETL capabilities and features for collaboration, searching and cataloging.
The bioinformatics service, made generally available at AWS re:Invent, is designed to help researchers and scientists store and accelerate analysis of genomic and other related biological data types for precision medicine.
AWS Lambda SnapStart cuts Java startup times by initializing Java functions ahead of time and caching a snapshot of the initialized execution environment.
Serverless data integration service in the Amazon cloud also adds support for built-in Pandas APIs and the Apache Hudi, Apache Iceberg, and Delta Lake formats.
The new managed compute service allows enterprises to run complex, 3D simulations with more than a million objects, AWS said at re:Invent.
At AWS re:Invent 2022, the company also announced support for AWS Lake Formation via Starburst Enterprise suite to help joint customers implement data mesh architecture.