#flinksql — Public Fediverse posts

I've started using (generated) click tracking events as a data source when introducing #FlinkSQL - it's simple, yet still rich enough to let me explain a variety of nice #Flink features.

I've written up a few examples at https://dalelane.co.uk/blog/?p=5806

I've started using (generated) click tracking events as a data source when introducing #FlinkSQL - it's simple, yet still rich enough to let me explain a variety of nice #Flink features.

I've written up a few examples at https://dalelane.co.uk/blog/?p=5806

I've started using (generated) click tracking events as a data source when introducing #FlinkSQL - it's simple, yet still rich enough to let me explain a variety of nice #Flink features.

I've written up a few examples at https://dalelane.co.uk/blog/?p=5806

I've started using (generated) click tracking events as a data source when introducing #FlinkSQL - it's simple, yet still rich enough to let me explain a variety of nice #Flink features.

I've written up a few examples at https://dalelane.co.uk/blog/?p=5806

I've started using (generated) click tracking events as a data source when introducing #FlinkSQL - it's simple, yet still rich enough to let me explain a variety of nice #Flink features.

I've written up a few examples at https://dalelane.co.uk/blog/?p=5806

⚡ Process streaming data with #PyFlink + #FlinkSQL.

See how to build pipelines using PyFlink Table API, #UDFs & #SQL—no JVM needed. Watch Diptiman Raichaudhuri demo windowing, event time processing & real-time #Kafka stream ingestion.

🎥 Click here: https://youtu.be/PnpHp3Y12xw
#StreamProcessing #FOSSASIA #OpenSource

⚡ Process streaming data with #PyFlink + #FlinkSQL.

See how to build pipelines using PyFlink Table API, #UDFs & #SQL—no JVM needed. Watch Diptiman Raichaudhuri demo windowing, event time processing & real-time #Kafka stream ingestion.

🎥 Click here: https://youtu.be/PnpHp3Y12xw
#StreamProcessing #FOSSASIA #OpenSource

⚡ Process streaming data with #PyFlink + #FlinkSQL.

See how to build pipelines using PyFlink Table API, #UDFs & #SQL—no JVM needed. Watch Diptiman Raichaudhuri demo windowing, event time processing & real-time #Kafka stream ingestion.

🎥 Click here: https://youtu.be/PnpHp3Y12xw
#StreamProcessing #FOSSASIA #OpenSource

⚡ Process streaming data with #PyFlink + #FlinkSQL.

See how to build pipelines using PyFlink Table API, #UDFs & #SQL—no JVM needed. Watch Diptiman Raichaudhuri demo windowing, event time processing & real-time #Kafka stream ingestion.

🎥 Click here: https://youtu.be/PnpHp3Y12xw
#StreamProcessing #FOSSASIA #OpenSource

⚡ Process streaming data with #PyFlink + #FlinkSQL.

See how to build pipelines using PyFlink Table API, #UDFs & #SQL—no JVM needed. Watch Diptiman Raichaudhuri demo windowing, event time processing & real-time #Kafka stream ingestion.

🎥 Click here: https://youtu.be/PnpHp3Y12xw
#StreamProcessing #FOSSASIA #OpenSource

Starting to organise my thoughts for writing my #Current24 talk, which is going to be all about fun and frolics with #FlinkSQL 😁

⏬New blog⏬

🔭 Exploring the #FlinkSQL Gateway REST API

🔗 https://dcbl.link/sqlgatewayrestapi3

#ApacheFlink

🫵Is this you too? Come along to my talk at **#kafkasummit** next week!

🐲 Here be Dragons^H^H Stacktraces — Flink SQL for Non-Java Developers

📆Tue Mar 19
🕰️ 3:30 PM
🗺️Breakout room 2

**#apacheFlink** **#FlinkSQL** **#dataEngineering**

💡 Understanding how to install the right dependencies—and troubleshoot things if they go wrong—is an important skill when working with #FlinkSQL.

👉 In his latest blog, @rmoff shares some useful tips and tricks for working with JARs, including how to understand which ones you need and how to check the right one is being used.

📝 https://dcbl.link/flink-sql-4c91f8

#openSource #dataEngineering #apacheFlink

New post: "Interesting Stuff - Week 5, 2023".

In this week's roundup, you'll read about the following:

* A very cool new feature in Azure SQL: Optimized Locking.
* Some reasons why Flink is so popular.
* Operational use cases for Kafka and Flink.
* Open sourcing of Confluent CLI.
* Niels in London.

Read all about it:

https://nielsberglund.com/post/2023-02-05-interesting-stuff---week-5-2023/

#flink #flinksql #kafka #azuresql

New post: "Interesting Stuff - Week 3, 2023".

So, what do we have for Week 3, 2023:

* Support for Plotly in @azuredataexplorer. Very cool!
* Solution to Case 2 in Kusto Detective Agency. The hardest case for me to solve.
* Benefits and challenges of distributed computing. Very good!
* Comparison of SQL-based streaming technologies. Interesting!
* Time support in Flink.

Read all about it:

https://nielsberglund.com/post/2023-01-22-interesting-stuff---week-3-2023/

#ksqldb #flink #flinksql #ksqldb #distributedcomputing #azuredataexplorer

Is it only me, or is the support for Docker in Flink really cr*p? Or rather, no "official" images for either the Flink SQL Client or the SQL Gateway.

Sure, you can build it via Dockerfiles, but it is very much hit-and-miss / trial and error. I still haven't managed to build a usable image for the Flink SQL Gateway (based on Flink 1.16).

#apacheflink #flink #flinksql #docker

New post: "Interesting Stuff - Week 2, 2023".

This week's roundup links to:

* Microsoft and OpenAI, and how to interact with OpenAI using Azure OpenAI Studio.
* Use FastAPI to put your ML models in production.
* A very informative post about CDC and patterns.
* I am trying to come to grips with Flink SQL and how Flink's Docker support sux!

Read all about it:

https://nielsberglund.com/post/2023-01-15-interesting-stuff---week-2-2023/

#apachekafka #ai #ml #openAI #flink #flinksql