Apache Flink Reviews

Kickstarter Reviews

Apache Flink mentions (30)

• Show HN: Restate, low-latency durable workflows for JavaScript/Java, in Rust

  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 / 18 days ago

• Array Expansion in Flink SQL

  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

• Show HN: An SQS Alternative on Postgres

  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

• Top 10 Common Data Engineers and Scientists Pain Points in 2024

  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

• Choosing Between a Streaming Database and a Stream Processing Framework in Python

  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

Kickstarter mentions (23)

• kickstarter.com

  Hello everyone! Could you just quick look on our project on kickstarter.com. We are trying to reach goal. Every view and like is necessary for us. We are committed to delivering exceptional, sustainably sourced dried meat snacks that satisfy our customers' cravings for wholesome, flavorful, and convenient options.Our customers are health-conscious consumers, outdoor enthusiasts, individuals seeking... Source: 12 months ago

• Local marketing tips? (KS feedback appreciated, too!)

  Hi, not sure if I'm doing something wrong, but your link redirects to kickstarter.com. How did you target your IG ads? Source: over 1 year ago

• Accountquestion - backerkit.com and kickstarter.com

  But unfortunately I just realized that I don't have an kickstarter.com account. Is this normal? I think so, just checked my mails. Source: over 1 year ago

• Do you feel ALONE in the entrepreneur journey?

  Crowdfunding website similar to kickstarter.com. A LOT OF WORK even with offshore contractors. Source: over 1 year ago

• What do you do with a deck that just won't shuffle well?

  For inspiration, you'll be amazed how many great decks are available—at a fraction of Tarot prices. Check out rareplayingcards.com and ellusionist.com and even kickstarter.com for new campaigns. There's also a Reddit: r/playingcards worth seeing. And incredible range of themes & designs are available. Source: almost 2 years ago