Eric Sammer
@esammerceo at @decodableco! prev: @splunk, @rocanainc (acq'd), @cloudera. open source / dist systems / data. o'reilly author. [email protected]
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👨💻 I recently added new demo to our @Decodableco #examples repo showing how to run fully-managed #ApacheFlink 🐿️ #PyFlink 🐍 jobs on #Decodable for #realtime vector embedding ingestion into @MongoDB #MongoDB #Atlas #VectorSearch github.com/decodableco/ex…
🥳 With @Decodableco, we support both declarative SQL pipelines and running your own custom Flink jobs (Java and PyFlink). I've recently added support for Flink 1.19 (1.20 is on the roadmap). Give it a try, would love your feedback! 👉 docs.decodable.co/pipelines/crea…
It’s time to simplify your data platform. From connectivity to schema management, Decodable offers a smoother ride than Amazon MSF. 😎 Discover 8 reasons why Decodable is the smarter choice for Apache Flink® users 👉 dcdbl.co/4fTcuEF
So cool to see our support for #PyFlink out, it's one of the things I've been involved with over the last few months. Can't wait to learn what folks are gonna use it for, some sweet AI/ML use cases, pretty please 🤓?
We're excited to announce a new wave 🌊 of features and improvements designed to elevate your real-time data movement. Decodable users now have access to: 💥 Fully Managed PyFlink 💥 Declarative Execution Read more 📷 dcdbl.co/3AzQDlt
We're excited to announce a new wave 🌊 of features and improvements designed to elevate your real-time data movement. Decodable users now have access to: 💥 Fully Managed PyFlink 💥 Declarative Execution Read more 📷 dcdbl.co/3AzQDlt
🕵️ Who doesn't love a good troubleshooting blog? 👉 I wrote up my notes on an adventure I had with Flink SQL and writing to S3—check it out: dcbl.link/troubleshootin…
Resource efficiency in Apache Flink is crucial but often overlooked when scaling up your stream processing requirements. Creating dedicated connections for each individual table definition from external resources can lead to inefficient resource usage 📺hubs.ly/Q02GCrN20
Struggling with real-time data challenges? Decodable is here to simplify your journey! 🦸 In this tech talk, @esammer (CEO, Decodable) will show how we ensure high-quality, compliant data processing with smooth pipeline operations. Sign up now 💥hubs.ly/Q02Ggpj00
Apache Flink is an incredibly powerful and versatile addition to your data tech stack, but creating a comprehensive real-time data platform requires robust infrastructure underneath and around it. 🐿️ Learn what that means for you 📺 hubs.ly/Q02GCj830
What if we told you there was a faster way to deliver business value with real-time data processing? 💡 Or better yet, what if we showed you? Join @esammer to examine the significance and complexities of managing real-time data. Save your spot 🪑 hubs.ly/Q02FgHxl0
Kafka, Flink, Debezium 😎.
📝 "A Taxonomy Of Data Change Events" There's lots of talk about data change events in the context of CDC and #Debezium. But which types of events do exist, what are their pros and cons? I wrote about it recently in this blog post. 👉 decodable.co/blog/taxonomy-…
💡Getting data from Apache Kafka to Apache Iceberg need not be complicated! ✨ In this blog I show how you can use Decodable to stream data from a Kafka topic to Iceberg with just two simple commands. 👉 dcbl.link/kafka-to-icebe…
🤓 Curious about the latest news around data streaming + stream processing, change data capture, and more? @rmoff has got you covered with the May edition of Checkpoint Chronicle, including links around Apache Flink, Kafka, DataFusion... Check it out! 👉 dcbl.link/cc-may24-1
;@sharon_rxie from @Decodableco talking about lessons learned from building data movement (ETL) systems #RTASummit
🛫 Homeward bound after five most fantastic days in Bengaluru 🇮🇳. Had such an amazing time between Kafka Summit with #Debezium talk and bustling #Decodable booth, getting to meet many old and new friends from the community, two meet-ups, and so much more. Can't wait to be back!
Wow, completely blown away by the abinterest in @Decodableco at #KafkaSummit Bengaluru 🇮🇳! Absolutely epic. So many great conversations non-stop for the last few hours. Note to myself: let's have 5x more swag next time 🤓.
*Excellent* #KafkaSummit lightning talk by Ashish Bhatia on how his team at RecruitCRM leveraged CDC with Debezium to offload full text search from MySQL to Elasticseach, touching on joining streams, versioning schemas, monitoring, etc. Name-check for @Decodableco included 🥳!
👇 How to take your data from an RDBMS like MySQL in real-time into a search index such as OpenSearch, denormalizing it along the way with just a few lines of SQL? Find out in this new post by @gunnarmorling!
📝 "Denormalizing Change Event Streams for Document Stores" I wrote a thing! Introducing the ARRAY_AGG() UDF in @Decodableco, for creating derived denormalized views of the data of multiple change event streams 🤓. 👉 dcbl.link/array-agg-1
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