
Articles
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1 week ago |
thenewstack.io | Jelani Harper
PostgreSQL 18, planned for release in September, has scores of new features and functions, spanning everything from analytics enhancements to support for external indices as extensions. The most notable updates of the relational database system, however, relate to a number of performance gains for what could be a watershed moment for the open source database.
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2 weeks ago |
thenewstack.io | Jelani Harper
Data streaming platform provider Confluent unveiled a new feature today that allows users to analyze real-time and historic data with a single query. Available in early access through Confluent Cloud for Apache Flink, snapshot queries combine batch and streaming data approaches to support low-latency use cases with enrichment data. Confluent also unveiled IP filtering functionality for Apache Flink workloads and beefed up its private networking functionality for Flink.
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1 month ago |
thenewstack.io | Jelani Harper
Approximately 10 years ago, Apache Airflow launched with a relatively simple, yet timeless premise. It was initially devised as a means to allow developers and data engineers to write data pipelines as code. With the recent release of the 3.0 version of the solution, the increasingly popular open source workflow management resource now offers a host of new features to support enterprise-scale applications.
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2 months ago |
thenewstack.io | Jelani Harper
Today, data warehouse giant Snowflake announced a significant increase in its support for Apache Iceberg tables. The expanded integration with the open table format lets Snowflake customers access Iceberg data as though it were no different than other data contained in the popular cloud data platforms. As a result, there’s now a host of Snowflake-enabled features that work with Iceberg tables, making the latter more secure, easier to share, and more performant for certain workloads.
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2 months ago |
datasciencecentral.com | Jelani Harper |Vincent Granville |Dan Wilson
The quantum leap forward in natural language technologies attributed to foundation models, LLMs, and modern vocal applications of AI is due in no small part to the mastery of the concept of attention. When training and deploying the aforementioned models, attention mechanisms account for several things. One of the most valuable is allowing models to look back at different parts of a conversation or text and determine how that context relates to present inputs (or lines of text).
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