Been a bit busy recently, but we're back.
We just released rtdl v0.2.0.
What we shipped:
* Added @DeltaLakeOSS support.
* Switched from Postgres to file-based configuration storage.
https://t.co/VwCd4hTBRu
New blog post! We released rtdl v0.1.2 yesterday, adding support for @hadoop HDFS, @awscloud Glue, and @SnowflakeDB External Tables. Also includes a quick bonus tutorial on how to set up rtdl with Snowflake External Tables.
https://t.co/tZfkhR6QpY
We just released rtdl v0.1.2.
What we shipped:
* Added HDFS support.
* Added @awscloud Glue support.
* Added @SnowflakeDB External Tables support.
https://t.co/1b3XkBkQeP
👋🏽Recently, @gavinjtech called me to hop on this project, and I’m super happy that I’m a part of it!
Just if you don’t know, rtdl is the easiest way to store and build and maintain a real data time lake on AWS, Kafka or Segment! You should check - https://t.co/hZmtAOWiWe 🚀🎉
We merged our first major PR from the community today 🎉
@misterbykl built a @statefun_io function to detect and mask PII. Thank you for your contribution to rtdl #OpenSource
https://t.co/qSDs0RWvQB
Latency is increasingly important across variety of use cases. For example, in e-commerce, going beyond single digit millisecond latencies is believed to hurt revenue. But how is this need for speed driving infrastructure changes today?
Here's one answer. 🧵 1/
Happy to be work on @rtdlio with @gavinjtech and @Dipanja22544292. Here’s what the project is all about :)
rtdl makes it easy to build and maintain a real-time data lake. You send rtdl a real-time data stream – often from a tool like Kafka or Segment.
https://t.co/hZmtAOWiWe
New blog post! Learn how to build a real-time data lake on @awscloud with rtdl and @segment.
Guide covers:
* Creating and configuring EC2
* Deploying rtdl
* Configuring S3
* Creating a Webhooks destination in Segment
* Creating a stream in rtdl
https://t.co/ADBYeB41GV
We just released rtdl v0.1.1.
What we shipped:
* Replaced Kafka & Zookeeper with @redpandadata
* Added support for HDFS
* Fixed a few issues
* Added several logo and banner graphics
https://t.co/5QsSrwcQpM
I think we all know the feeling. The tool analogy is very good for software, the mistake we seem to repeat is trying to invent and reinvent a multi tool.
We’re thrilled to announce the general availability of our fully-managed lakehouse platform, Dremio Cloud, as well as the public preview of Dremio Arctic, an intelligent metastore for Apache Iceberg that automates data management!
https://t.co/t7f4XeKqjT
Decision science is going to go mainstream.
The 2010s belonged to data science. Then we saw the rise of analytics eng. But aeng -> less time on prep + better data -> more questions -> decision science. Will purple people cleave into magenta and fuschia people?
That's a nice streaming service you've built @redpandadata. We're working on replacing Kafka and Zookeeper with it in our stack. It's been really easy so far.