🚫 Don’t get duped! 🚫 #ApacheFlink enables exactly-once semantics to ensure that no data gets duplicated, or is left unprocessed. Learn more about how Apache Flink can support a large deployment of hundreds or thousands of continuously running compute notes in this video from Dan Weston. Watch it here ➡️ https://lnkd.in/e5nB5P9C
Confluent’s Post
More Relevant Posts
-
🥳 #ApacheFlink 1.19 is here! Get a summary of the latest updates with David Anderson. AF1.19 introduces: ✔️ Legacy feature deprecations ✔️ Improved windowing support in Flink SQL ✔️ Better observability of Flink’s checkpoint and recovery mechanisms ✔️ And more! 🎬 Watch the video for release highlights:
Apache Flink 1.19 - Deprecations, New Features, and Improvements
https://www.youtube.com/
To view or add a comment, sign in
-
⛲Fresh on the Flink Forward stage, watch @nadinefarah from @Onehousehq provide recommendations on how to deal with near real-time processing using Apache Flink when paired with data storage systems that lacks an efficient indexing subsystem. Register today, get access to the recordings later: https://bit.ly/3Q1XsjP #apacheflink #flinkforward #apachehudi #dataprocessing #real-time
To view or add a comment, sign in
-
Learn how to use Apache Flink for High-Volume Stream Processing in this article. We provide in-depth insights into quantifying workload requirements, optimizing cluster resources, managing distributed state, and efficiently scaling source and sink connectors. This article serves as a guide for implementing Apache Flink in production environments where terabytes of data are processed daily, ensuring effective scaling and performance optimization. https://lnkd.in/d_QU62Mx #apacheflink #streamprocessing #highvolumedata #datascaling
To view or add a comment, sign in
-
At the Functional Scala conference in London last December, Vitor and Erik Schmiegelow gave a talk on Apache Flink. We have summarised the exciting Session in our blog. Read more: https://lnkd.in/dPugh3nc #ApacheFlink #HivemindTechnologies #Flink Ziverge #FunctionalScalaConference #FunctionalScala2023
To view or add a comment, sign in
-
Best Selling Co-Author of “Apache Iceberg: The Definitive Guide” | Senior Tech Evangelist at Dremio (Data Lakehouse Evangelist) | Tech Content Creator
New Dremio Video on Youtube: Quick Answers - What is the Apache Iceberg REST Catalog? ---------------------- ** Watch Video Here: https://lnkd.in/exVVeXDr ** Get Started With Dremio: https://lnkd.in/gPri3SAQ ** Try Dremio on your Laptop: https://lnkd.in/eVxUfhxk ----------------------- #DataEngineering #DataAnalytics #DataScience #DataLake #DataLakehouse #DataVirtualization #DataMesh #BigData
Quick Answers - What is the Apache Iceberg REST Catalog?
https://www.youtube.com/
To view or add a comment, sign in
-
Join me in my upcoming session to explore the consistent hashing index in-depth. Understand its significance and the mechanics behind it. Additionally, we'll dive into building incremental pipelines using Hudi-Flink. You'll also learn about its seamless integration with native CDC support. If you're interested in lakehouse architectures with native streaming support- check out my session with #apachehudi Apache Hudi #apacheflink Ververica | Original creators of Apache Flink® #dataengineering #dataengineers #datalakehouses #datalakes #databases #datalakehouses #flinkforward #flinkforward2023 #index #opensource
⛲Fresh on the Flink Forward stage, watch @nadinefarah from @Onehousehq provide recommendations on how to deal with near real-time processing using Apache Flink when paired with data storage systems that lacks an efficient indexing subsystem. Register today, get access to the recordings later: https://bit.ly/3Q1XsjP #apacheflink #flinkforward #apachehudi #dataprocessing #real-time
To view or add a comment, sign in
-
e-Coast Systems recommends this solution brief to discover how you can train faster and get a faster ROI with GPE-accelerated Apache Spark.
To view or add a comment, sign in
-
Last week, Jason Reid went through a How to Bend the Cost Curve, with Apache Iceberg and Tabular webinar. A few main takeaways and various tools in the tool belt to bend the cost curve: - Understand how to optimize your storage and reduce storage footprint (compaction) to improve query performance. - Getting rid of unused data that is not valuable in a highly automated fashion. Do this broadly across core lakehouse platform capabilities and not done manually by individual engineering teams. - workload management, use the right tool for the job, don't spend expensive compute cycles on non critical workloads! In the comments is both the recording to the webinar, and a Tabular 101 that outlines how Tabular removes the undifferentiated heavy lifting and makes Apache Iceberg easy at scale. #iceberg #tabular #lakehouse
To view or add a comment, sign in
-
You can start using Fabric Runtime 1.3 Runtime as Experimental Public Preview. Please check our documentation for the limitations : https://lnkd.in/d885PJ4d #msftadvocate #microsoftfabric #apachespark #synapsespark #spark #deltalake
Fabric Runtime 1.3, based on Apache Spark 3.5 and Delta Lake 3.0, has been released to all production regions as an Experimental Preview! You can now use it for early access to new features and improvements. Check the documentation: https://lnkd.in/dJFG9uE8 🙌 👏👏👏 Ashit Gosalia Justyna Lucznik Ajith S Akshay Tayal ABHISHEK UPMANYU Christopher Finlan Raghav Sidhanti Daniel Coelho Faruk Celik Mimi Gentz Andrew Fogarty
To view or add a comment, sign in
-
Dace IT℠with Sense Traffic Pulse™ recommends this solution brief to discover how you can train faster and get a faster ROI with GPE-accelerated Apache Spark.
Accelerating Data Analytics for Faster Time-to-Insight and Improved ROI
To view or add a comment, sign in
527,166 followers