Microsoft Power Automate VS Apache Flink

Microsoft Power Automate Reviews

Apache Flink Reviews

Microsoft Power Automate mentions (31)

• Is there any open source no code workflow tool?

  Hi, I am trying to build a no code tool workflow tool with blocks and connections between the blocks. Similar to power automate: https://powerautomate.microsoft.com/en-us/. Source: 10 months ago

• Spreadsheet: export link in CSV

  Windows has an option called Power Automate https://powerautomate.microsoft.com/en-us/ that allows for, well automating such tasks as manually copying / pasting data https://learn.microsoft.com/en-us/power-automate/getting-started. Source: 11 months ago

• My coworkers and I have decided to start filling out the forms

  Try to use automation to fill it out ( https://powerautomate.microsoft.com/en-us/ for example). Source: 11 months ago

• Automating my monkey job

  Https://powerautomate.microsoft.com/en-us/ might be something worth checking out if you have access. Source: 12 months ago

• Should I quit learning Python?

  What is it that you actually want to achieve? Learning Python should have an overarching goal. Like being a programmer. If you would rather not be a programmer, and you don't like programming, but you would like to automate certain things on your PC, you might as well download and install https://powerautomate.microsoft.com/en-us/ . If you intend to understand, or work with, Big Data or AI, then Python totally is... Source: about 1 year ago

Apache Flink mentions (27)

• 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 / 17 days 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 / 3 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 / 4 months ago

• Five Apache projects you probably didn't know about

  Apache SeaTunnel is a data integration platform that offers the three pillars of data pipelines: sources, transforms, and sinks. It offers an abstract API over three possible engines: the Zeta engine from SeaTunnel or a wrapper around Apache Spark or Apache Flink. Be careful, as each engine comes with its own set of features. - Source: dev.to / 4 months ago

• Getting Started with Flink SQL, Apache Iceberg and DynamoDB Catalog

  Due to the technology transformation we want to do recently, we started to investigate Apache Iceberg. In addition, the data processing engine we use in house is Apache Flink, so it's only fair to look for an experimental environment that integrates Flink and Iceberg. - Source: dev.to / 4 months ago