today announced a new version of StreamAnalytix for Amazon Web Services (AWS) Marketplace. StreamAnalytix, an enterprise-grade self-service data flow and analytics platform, transforms data into ...

Like Spark, Ray is often used to scale data analytics and machine learning workloads. And like Spark, AWS sees Ray being a potentially valuable engine for powering the data transformation parts of ETL ...

At its annual summit, Snowflake announced Openflow, a data ingestion service that can integrate any data type from virtually ...

LAS VEGAS, December 03, 2024--(BUSINESS WIRE)--At AWS re:Invent, Amazon Web Services, Inc. (AWS), an Amazon.com, Inc. company (NASDAQ: AMZN), today announced the next generation of Amazon ...

On the analytics front, Selipsky said customers will also be able to run Spark queries on data in AWS Redshift, without the need to build or manage any connectors. “Both zero ETL integration ...

Both Databricks and AWS ... load), data science, and streaming workloads. But Redshift also integrates with various data loading and ETL tools and BI reporting, data mining, and analytics tools.

Amazon made a couple of announcements today at AWS re:Invent in Las Vegas that helps move data management ... to do analytics and machine learning without having to deal with ETL,” Selipsky ...

SUNNYVALE, Calif.--(BUSINESS WIRE)--Yugabyte, the modern transactional database company, announced today that it has achieved Amazon Web Services (AWS) Data & Analytics Competency status.

data analytics, and AI services are all coming together under one roof at Amazon Web Services. Another offering that AWS announced to support the integration is the SageMaker Data Lakehouse ...

In this article, I will explore five features to consider when implementing or optimizing an extract transform load (ETL) pipeline to elevate the resilience of data analytics systems and ...