Remove designing-an-elastic-apache-kafka-for-the-cloud
article thumbnail

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?

Cloud 64
article thumbnail

How to Use Kafka for Event Streaming in a Microservices Architecture?

Workfall

It means that there is a high risk of data loss but Apache Kafka solves this because it is distributed and can easily scale horizontally and other servers can take over the workload seamlessly. This is where Apache Kafka comes in. Kafka can also be used to stream data from IoT devices or sensors.

Kafka 75
Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

article thumbnail

Benchmarking Elasticsearch and Rockset: Rockset achieves up to 4X faster streaming data ingestion

Rockset

To find out, we decided to test the streaming ingestion performance of Rocksetā€™s next generation cloud architecture and compare it to open-source search engine Elasticsearch , a popular sink for Apache Kafka. In this blog, weā€™ll walk through the benchmark framework, configuration and results.

article thumbnail

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. The Snowflake Native App Framework remains available in private preview on Google Cloud Platform and Azure. The new Kafka connector, built with Snowpipe Streaming , now supports schema detection and evolution. Learn more here.

Scala 52
article thumbnail

15+ Best Data Engineering Tools to Explore in 2023

Knowledge Hut

Data engineers add meaning to the data for companies, be it by designing infrastructure or developing algorithms. Data engineers add meaning to the data for companies, be it by designing infrastructure or developing algorithms. The practice requires them to use a mix of various programming languages, data warehouses, and tools.

article thumbnail

The Top 25 Data Engineering Influencers and Content Creators on LinkedIn

Databand.ai

He has deep expertise in distributed systems, data engineering, API design, data integration from multiple sources, and machine learning. The Top 25 Data Engineering Influencers and Content Creators on LinkedIn Ryan Yackel 2022-12-13 10:23:19 Interested in data engineering? Youā€™ve come to the right place. Happy following!

article thumbnail

Data Pipeline- Definition, Architecture, Examples, and Use Cases

ProjectPro

This blog will give you an in-depth knowledge of what is a data pipeline and also explore other aspects such as data pipeline architecture, data pipeline tools, use cases, and so much more. As data is expanding exponentially, organizations struggle to harness digital information's power for different business use cases.