Dunith Danushka 🥑🇬🇧🇱🇰
@dunithd
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Technical Product Marketing @ EDB. Technologist, writer, and conference speaker on data and AI.
Manchester, UK
Joined June 2009
Just blogged: Apache Iceberg Quickstart with PyIceberg
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Iceberg is everywhere, putting pressure on data professionals to catch up. I created a 7-week study guide to get started with Apache Iceberg essentials. Let me know how you liked it or anything that I missed.
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Just blogged: The Great Shift Left: Embracing the Shift Left Data Architecture.
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The fastest data hustlers in town. Join us tonight.
📣 LAST CALL: @ClickHouseDB meetup in #London. Join @dunithd and the savviest of #streamingdata experts from ClickHouse and @Cloudflare! From inspiring talks and networking to coffee and nibbles, it's the perfect way to liven up your Wednesday evening ☕ . Meet us at: . 🗓
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RT @redpandadata: 📣 LONDON CALLING ALL #STREAMINGDATA FANS. Come join the @ClickHouseDB meetup where you'll hear from our very own @dunithd….
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RT @TheDanicaFine: I knew it was gonna be good, but last night's #apacheKafka meetup in #frankfurt was actually incredible. An engaged comm….
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I'm in Frankfurt today, speaking at the Frankfurt Kafka Meetup with amazing @TheDanicaFine about stream processing with Apache Flink. Join us if you are around.
www.meetup.com
Join us for an Apache Kafka® x Apache Flink® meetup on Tuesday, June 11th from 6:00pm in Frankfurt hosted by Thinkport! 📍 **Venue:** Thinkport GmbH Arnsburger Str. 74 603
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The docs team at @redpandadata did a fabulous job of adding the "Ask AI" feature to docs. It allows you to ask specific questions about the product and get the most relevant answers tailored to your context. Give it a try today
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RT @Christina_wm: Here's the slide I presented yesterday! Let's speed up the data transforms! . Harnessing WebAssembly for Real-time Statel….
www.slideshare.net
The document discusses an upcoming event in Bratislava on harnessing WebAssembly for real-time stateless streaming pipelines. It covers topics such as data transformation in streaming pipelines, the...
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RT @Christina_wm: Interested in how #WebAssembly will change the way to do you thing about processing streaming pipelines? .Don't forget to….
eu.communityovercode.org
Traditionally, dealing with real-time data pipelines has involved significant overhead, even for straightforward tasks like data transformation or masking. However, in this talk, we’ll venture into...
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RT @Christina_wm: 🎉 🎉 🎉 Announcing Redpanda Connect 🎉 🎉 🎉 - A Better Way to Build Connectors! Written in Go, it's super lightweight and inc….
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With its acquisition of Benthos, Redpanda rolls out Redpanda Connect, an intuitive environment to compose and run streaming data pipelines.
techcrunch.com
Redpanda has already integrated Benthos into its own service and has made it the core technology of its new Redpanda Connect service.
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RT @DevoxxUK: Watch this session by @tmgstevens from @redpandadata where he teaches us how WebAssembly can be used to write stateless data….
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In this blog, I present a reference architecture for real-time API call volume tracking with Apache APISIX, Redpanda, and Apache Pinot.
In this article, @dunithd shows how to design a real-time analytics pipeline for tracking API invocation usage with Apache APISIX, Redpanda, and Apache Pinot
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To wrap up, let's discuss potential use cases and the benefits of using tiered storage with Kafka.
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What if we could archive older, closed log segments into secondary storage? That's the idea behind Kafka's Tiered Storage feature.
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Kafka's storage engine uses a hierarchy of storage objects. Understanding this hierarchy can help us better comprehend how tiered storage works.
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As data ages and becomes less frequently accessed, Kafka automatically moves it from the primary storage tier to the secondary storage tier. This process is transparent to users and applications accessing the data.
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