Channel
@datastreamingit
On this record: Growth · Engagement · Posts · Citations · Cite this entry
104subscribers
-1 since we began measuring on 9 August 2026
Risers and fallers across the register · movement among entries of Under 1,000.
| Telegram ID | -1001448162404 |
|---|---|
| Type | Channel |
| Username | @datastreamingit |
| Created | Between 1 April 2019 and 20 September 2021 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 9 August 2026 |
| Last confirmed live | 30 August 2026 |
| Measurements held | 3 |
| Confirmed unchanged | 1 time, most recently 30 August 2026 |
| On Telegram | t.me/datastreamingit |
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 30 Aug 2026, 14:57 | 104 | -1 |
| 9 Aug 2026, 16:24 | 105 | no change |
| 9 Aug 2026, 11:17 | 105 | first reading |
20 posts held, back to 20 September 2021 — the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 1 page of Telegram’s post history, 20 posts per page.
Nothing published in the last 30 days. ERR and ER are rolling 30-day measures, so there is nothing to compute — we hold 20 posts for this entry, the most recent from 25 January 2022. An engagement rate over an empty window would be a number about nothing.
Apache Kafka 3.1.0 ✨ is here! New features / KIPs list: Kafka broker, Producer, Consumer and AdminClient - KIP-516: Topic identifiers - KIP-773: Differentiate consistently metric latency measured in millis and nanos - KIP-768: Extend SASL/OAUTHBEARER with support for OIDC - KIP-748: Add broker count metrics Kafka Streams - KAFKA-13439: The eager rebalance protocol is deprecated - KIP-783: Add TaskId field to Strea…
ksqlDB 0.22.0 🚀 is here! New features: - Execute pull queries instantly with SOURCE tables; - Optimizations for range-scan expressions; - Improved push queries and more. See: https://twitter.com/ksqldb/status/1461397845441802246?s=21. Data Streaming IT in italiano: @kafkastreamingit #ApacheKafka #Kafka #ksqlDB #databases #streamprocessing #datastreamingit Feel free to invite your colleagues and friends to join @…
🧙♂️ Apache Druid 📅 Druid Summit 2021 📆 video recordings are now available 📺: https://druidsummit.org/past-event-recordings. Data Streaming IT in italiano: @kafkastreamingit #ApacheDruid #Druid #ProjectShapeshift #realtimeanalytics #streaminganalytics #ApacheKafka #Kafka #DataMesh #databases #datastreamingit Feel free to invite your colleagues and friends to join @DataStreamingIT and @kafkastreamingit ❤️
ksqlDB 🚀 New learning / blog series 🖋 Apache Kafka PMCs and experts 📝 Streaming Database Systems - Confluent Developer: https://developer.confluent.io/learn/streaming-database-systems. Data Streaming IT in italiano: @kafkastreamingit #ApacheKafka #Kafka #ksqlDB #SQL #databases #DistributedSystems #streamprocessing #datastreamingit Feel free to invite your colleagues and friends to join @DataStreamingIT and @kafk…
🐇 RabbitMQ on Kubernetes Deep Dive ☸️ KubeCon + CloudNatveCon North America 2021 📺: https://youtu.be/GxdyQSUEj5U. 📅 10 NOV at 10:00 am CET 📆 RabbitMQ 3.9.0 🐰 dallo Stream al Cloud Native 🎙 Gabriele Santomaggio, co-author of 📚RabbitMQ Cookbook📖, co-inventor of docs.k3ai.in Free webminar in Italian: https://tanzu.vmware.com/content/webinars/nov-10-rabbitmq-3-9-0-dallo-stream-al-cloud-native. Data Streaming IT in i…
Apache Druid 🧙♂️ Druid Summit 2021 📅 09-10 NOV 📆 Keynotes: - Building Modern Analytics Applications with Apache Druid - Fireside Chat with the Creators of Druid - Druid Roadmap / Unveiling What's Next for Apache Druid and Imply Guest Keynote - Evolution to Data Mesh 🎙 Jay Kreps, co-creator of Apache Kafka, Confluent CEO, author of 📚I 💜 Logs: Event Data, Stream Processing, and Data Integration📖 Free registration…
🐿 Apache Flink 📅 Flink Forward Global 2021 📅 video recordings are now available 📺: https://www.youtube.com/playlist?list=PLDX4T_cnKjD0J2LFr7yBk2aSS_o2l-7ue. ICYMI 📝 Sort-Based Blocking Shuffle Implementation in Flink ⁃ Part One 📕: https://flink.apache.org/2021/10/26/sort-shuffle-part1.html; ⁃ Part Two 📗: https://flink.apache.org/2021/10/26/sort-shuffle-part2. Data Streaming IT in italiano: @kafkastreamingit #A…
Apache Kafka ✨ New Guide to Stream Processing Kafka Streams Fundamentals - Confluent Blog: https://www.confluent.io/blog/how-kafka-streams-works-guide-to-stream-processing 🖋 Bill Bejeck, Apache Kafka Committer, author of 📚Kafka Streams in Action📖 and 📚Event Streaming with Kafka Streams and ksqlDB📖 (MEAP) Data Streaming IT in italiano: @kafkastreamingit #ApacheKafka #Kafka #KafkaStreams #KStreams #streamprocess…
Apache Flink 🐿 Flink Forward Global 2021 📅 26-27 OCT 📆 is happening this week! Free registration: https://www.flink-forward.org/global-2021. Data Streaming IT in italiano: @kafkastreamingit #ApacheFlink #Flink #FlinkForward #PyFlink #SQL #streamprocessing #datastreamingit Feel free to invite your colleagues and friends to join @DataStreamingIT and @kafkastreamingit ❤️
Apache Kafka ✨ Scala New "ultimate end-to-end tutorial on Kafka Streams" in Scala Kafka Streams 101 by Riccardo Cardin - Rock the JVM Blog: https://blog.rockthejvm.com/kafka-streams. Data Streaming IT in italiano: @kafkastreamingit #ApacheKafka #Kafka #KStreams #Scala #streamprocessing #datastreamingit Feel free to invite your colleagues and friends to join @DataStreamingIT and @kafkastreamingit ❤️
Apache Kafka ✨ New uGroup Kafka consumer monitoring service @ Uber 📝 Introducing uGroup: Uber’s Consumer Management Framework - Uber Engineering: https://eng.uber.com/introducing-ugroup-ubers-consumer-management-framework. ICYMI 📝 Apache Kafka 3.0 is out! But... by Jason Bell - Digitalis Blog: https://digitalis.io/blog/kafka/apache-kafka-3-0-is-out-but. Data Streaming IT in italiano: @kafkastreamingit #ApacheKa…
Apache Spark 3.2.0 ⭐️ is here! The changes are mainly about: - Core and Spark SQL - Structured Streaming [including: Upgrade Kafka client to 2.8.0 and EventTime based sessionization (session window)] - PySpark - MLlib - SparkR - GraphX and more. For further details: https://spark.apache.org/releases/spark-release-3-2-0.html. DataStreamingIT in Italian: @kafkastreamingit #ApacheSpark #SparkStreaming #PySpark #Py…
Showing the 12 most recent of 20 posts we hold for @datastreamingit. View and reaction counts are the latest single reading for each post, not a live figure, and a recent post is still accumulating both. A view count marked ≈ was rounded by Telegram before we ever saw it — t.me prints views in full below 1,000 and to three significant figures above, so ≈1,200,000 means somewhere between 1,150,000 and 1,249,999. Unmarked counts are exact. Text is reproduced from the public post preview and truncated for length.
Named by 1 registered channel — every channel on the register whose own posts have named this one, by its current username or any other username it currently holds, merged from two separately captured readings of the same fact so a namer caught by only one of them is not missed and a namer both caught is not counted twice. A username this channel has since dropped is not matched — that handle may belong to someone else now, and crediting today’s namer to yesterday’s owner would misattribute it.
Named by
Channels on the register whose posts name this channel's handle.
Names
Channels on the register whose handles appear in this channel's posts.
A mention is a weaker signal than a forward and is counted separately for that reason — naming a channel is not republishing it, and a handle in a post body is easy to place deliberately. The post counts beside each row below are distinct posts in which the handle appeared, from posts we have read on both sides — the “Named by N registered channels” figure above is a different count, of distinct NAMING CHANNELS rather than posts, and is not the sum of the rows under it.
A live page changes as we take new readings, so a citation should name the measurement it is based on, not just the URL. The line below cites the subscriber count as measured 30 August 2026 — this entry's latest reading, not the date you are reading this.
“DataStreamingIT” (@datastreamingit), 104 subscribers as measured 30 August 2026. Telegram Register, tgregister.com/channel/datastreamingit.
Full measurement history, CC BY 4.0. Every reading this register holds for this entry, not just the latest one, as a dated, downloadable record: CSV · JSON. Free to use with attribution to tgregister.com. Each file carries its own generation timestamp, which is the figure to cite for exactly when the data was retrieved.