Data Integration | News, how-tos, features, reviews, and videos
While Apache Kafka is slowly introducing KRaft to simplify its approach to consistency, systems built on Raft show more promise for tomorrow’s hyper-gig workloads.
Without proper data governance, interoperability, and access control, enterprises have no hope of maximizing the business value of their data.
The new Schema GPT Translator is designed to free developers to focus on other aspects real-time data pipelines instead of coping with the time-consuming process of manually creating schema mappings.
The new integration, which is in public preview, is designed to bring data into Azure’s ML service from data repositories outside the Azure platform.
New data management and integration solutions featuring AI and machine learning signal that help is on the way to meet the ballooning enterprise data challenge.
If multicloud is your preferred architecture, you better have a solid plan for interoperability, security, portability, and centralized management. Do you?
Because building reliable data pipelines is hard, and the first step to becoming a data-driven organization is trusting your data.
As enterprises seek industry clouds to boost their overall cloud ROI, they should architect with integration and security in mind and not limit their choices to one provider.
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.
Snowflake's updates include support for Python on the Snowpark application development system , data access capabilities, and external tables for on-premises storage.