Thinks of Patreon as a tip jar for your favorite creators. You give them money, they give you something intresting
Patreon might be a bit more popular than Apache Flink. We know about 33 links to it since March 2021 and only 30 links to Apache Flink. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
Restate is built as a sharded replicated state machine similar to how TiKV (https://tikv.org/), Kudu (https://kudu.apache.org/kudu.pdf) or CockroachDB (https://github.com/cockroachdb/cockroach) since it makes it possible to tune the system more easily for different deployment scenarios (on-prem, cloud, cost-effective blob storage). Moreover, it allows for some other cool things like seamlessly moving from one log... - Source: Hacker News / 15 days ago
I’ve recently started my journey with Apache Flink. As I learn certain concepts, I’d like to share them. One such "learning" is the expansion of array type columns in Flink SQL. Having used ksqlDB in a previous life, I was looking for functionality similar to the EXPLODE function to "flatten" a collection type column into a row per element of the collection. Because Flink SQL is ANSI compliant, it’s no surprise... - Source: dev.to / about 1 month ago
You should let the Apache Flink team know, they mention exactly-once processing on their home page (under "correctness guarantees") and in their list of features. [0] https://flink.apache.org/ [1] https://flink.apache.org/what-is-flink/flink-applications/#building-blocks-for-streaming-applications. - Source: Hacker News / about 2 months ago
Data scientists often prefer Python for its simplicity and powerful libraries like Pandas or SciPy. However, many real-time data processing tools are Java-based. Take the example of Kafka, Flink, or Spark streaming. While these tools have their Python API/wrapper libraries, they introduce increased latency, and data scientists need to manage dependencies for both Python and JVM environments. For example,... - Source: dev.to / 3 months ago
Other stream processing engines (such as Flink and Spark Streaming) provide SQL interfaces too, but the key difference is a streaming database has its storage. Stream processing engines require a dedicated database to store input and output data. On the other hand, streaming databases utilize cloud-native storage to maintain materialized views and states, allowing data replication and independent storage scaling. - Source: dev.to / 5 months ago
Is it possibly only viewable on patreon.com? Source: 7 months ago
An error occurred during a connection to patreon.com. Source: about 1 year ago
Hey Matt, I wake up every morning and open patreon.com to receive my dose of a new chapter to keep me sane. It's been more than 13 days :( with no new chapter. Source: about 1 year ago
Once the page is up, you can embed links to e.g. BuyMeACoffee.com or patreon.com or even simply Paypal so people can contribute to your blog. However, first of all you need to get traffic to your site. Source: about 1 year ago
You can subscribe to the patreon, https://www.patreon.com/pabloleban, to get early access patch notes on the discord server. Source: over 1 year ago
Apache Spark - Apache Spark is an engine for big data processing, with built-in modules for streaming, SQL, machine learning and graph processing.
Buy Me A Coffee - A free, fast and friendly way to accept donations 💰
Amazon Kinesis - Amazon Kinesis services make it easy to work with real-time streaming data in the AWS cloud.
Ko-fi - Ko-fi offers a friendly way for content creators to get paid for their work.
Spring Framework - The Spring Framework provides a comprehensive programming and configuration model for modern Java-based enterprise applications - on any kind of deployment platform.
Kickstarter - Kickstarter is the world's largest funding platform for creative projects. A home for film, music, art, theater, games, comics, design, photography, and more.