SproutSocial Reviews

Apache Flink Reviews

SproutSocial mentions (8)

• 8 AMAZING TIME-SAVING SOCIAL MEDIA TOOLS

  You can check the hype about Sprout Social with a thirty-day free plan. After the trial ends, you will have to pay $89 monthly to keep your account running. Source: about 1 year ago

• 8 Best Facebook Post Schedulers For Developers [2023 Addition]

  Sprout Social is another social media management tool that allows you to schedule posts on multiple platforms, including Facebook. It offers features such as customizable scheduling, analytics, and team collaboration. Sprout Social has paid plans starting at $99 per month. - Source: dev.to / over 1 year ago

• June Ramp To The Moon - Hype Campaign Starts Today

  What you **do** do, is engage a Social Media management company to come in and run a wide spectrum campaign across your target demographics over a period of time- and oh look [GameStopNFT's tweets](https://twitter.com/GameStopNFT/status/1527303196422508546) are all done by [Sprout Social](https://sproutsocial.com). Source: about 2 years ago

• Marketing Tools You Need to Grow Your Business like Dropbox, Hubspot and others!

  Sprout social- The best social media management with deep insights and easy management features. Source: about 2 years ago

• 17 Business Ideas Around Web Scraping

  Sprout Social: The tool allows you to watch your competition on social media. - Source: dev.to / over 2 years ago

Apache Flink mentions (29)

• 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 / 9 days 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 / 23 days 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 / about 2 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 / 4 months ago

• Go concurrency simplified. Part 4: Post office as a data pipeline

  Also, this knowledge applies to learning more about data engineering, as this field of software engineering relies heavily on the event-driven approach via tools like Spark, Flink, Kafka, etc. - Source: dev.to / 5 months ago