Databricks today announced the general availability (GA) of Delta Live Tables (DLT), a new offering designed to simplify the building and maintenance of data pipelines for extract, transform, and load ...

The emergence of real-time streaming analytics use cases has shifted the center of gravity for managing real-time processes. Because they operate in the moment, streaming engines by nature have been ...

Over the past few years, we've been focusing our research on how cloud-native architecture has transformed databases. By separating compute from storage, database providers have been able to simplify ...

Data copilot startup Prophecy Inc. said today it has closed on a $47 million Series B extension round, as it bids to transform how companies access and manipulate their corporate data with generative ...

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AWS announced the availability of the Amazon DynamoDB zero-ETL integration with Amazon OpenSearch Service, enabling users to perform a search on their DynamoDB data by automatically replicating and ...

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More This article was contributed by Gunasekaran S., director of data ...

Machine learning workloads require large datasets, while machine learning workflows require high data throughput. We can optimize the data pipeline to achieve both. Machine learning (ML) workloads ...

Using workarounds to pipe data between systems carries a high price and untrustworthy data. Bharath Chari shares three possible solutions backed up by real use cases to get data streaming pipelines ...

Expertise from Forbes Councils members, operated under license. Opinions expressed are those of the author. ETL (extract, transform, load) migration is often treated as an afterthought when companies ...