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Build AI-powered Recommendations with Confluent Cloud for Apache FlinkĀ® and Rockset

Rockset

Today, Confluent announced the general availability of its serverless Apache Flink service. Flink is one of the most popular stream processing technologies, ranked as a top five Apache project and backed by a diverse committer community including Alibaba and Apple. What is RAG?

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Stream Rows and Kafka Topics Directly into Snowflake with Snowpipe Streaming

Snowflake

Snowflake enables organizations to be data-driven by offering an expansive set of features for creating performant, scalable, and reliable data pipelines that feed dashboards, machine learning models, and applications. But before data can be transformed and served or shared, it must be ingested from source systems.

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Data Engineering in Retrospect: Key Trends and Patterns of 2023

Data Engineering Weekly

It’s the end of the year, and there will be a lot of buzz about what the next five years in data engineering might bring. source: Meta - The future of the data engineer Companies are at various stages of this model, which means certain patterns and predictions may align with your organization's maturity level while others might not.

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The Future of Data Warehousing

Monte Carlo

As every company becomes a data company, and more users within these companies are discovering new uses for previously unavailable data, existing infrastructure and tools are not just meeting that demand but creating new demands. At the center of it all is the data warehouse, the lynchpin of any modern data stack.

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New Snowflake Features Released in Mayā€“July 2023

Snowflake

Read our Summit recap blog for highlights across industries or watch Summit sessions now on-demand. Applications Snowflake Native App Framework now available in AWS – public preview Snowflake Native Apps are an entirely new way to put data to work. If you missed out, not to worry! Learn more here. Learn more here.

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5 Predictions for the Future of the Data Platform

Monte Carlo

The field of data engineering has been growing at a breakneck pace. Keeping up with the latest developments can feel like a full-time jobā€”so weā€™re always grateful when seasoned leaders share their perspectives on which trends in data engineering actually matter. Plus, he was one of the first data engineers at Facebook and Airbnb.

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Using Graph Processing for Kafka Stream Visualizations

Confluent

We know that Apache Kafka Ā® is great when youā€™re dealing with streams, allowing you to conveniently look at streams as tables. Stream processing engines like KSQL furthermore give you the ability to manipulate all of this fluently. You can use this as an example of how to add graph abilities to any event streaming application.

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