Unified Model
Apache Beam provides a unified programming model that simplifies the development of both batch and stream processing applications. This reduces the complexity in maintaining separate codebases for different types of data processing needs.
Portability
The portability of Apache Beam allows developers to write their code once and run it on different execution engines like Apache Flink, Apache Spark, and Google Cloud Dataflow, offering flexibility in choosing the right runtime environment.
Rich SDKs
Apache Beam offers rich SDKs for multiple languages including Java, Python, and Go, allowing a broader range of developers to leverage its capabilities without being restricted to a single programming language.
Windowing and Triggering
It provides powerful abstractions for windowing and triggering, enabling developers to handle out-of-order data and late data arrivals efficiently, which is crucial for accurate stream processing.
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The latest comments about Apache Beam on Reddit. This can help you find out how popualr the product is and what people think about it.
Use distributed data processing frameworks like Apache Beam or Apache Spark. - Source: dev.to / about 2 months ago
The "streaming systems" book answers your question and more: https://www.oreilly.com/library/view/streaming-systems/9781491983867/. It gives you a history of how batch processing started with MapReduce, and how attempts at scaling by moving towards streaming systems gave us all the subsequent frameworks (Spark, Beam, etc.). As for the framework called MapReduce, it isn't used much, but its descendant... - Source: Hacker News / over 1 year ago
Apache Beam is one of many tools that you can use. Source: over 1 year ago
Apache Beam: Streaming framework which can be run on several runner such as Apache Flink and GCP Dataflow. - Source: dev.to / over 2 years ago
Apache Beam: Batch/streaming data processing 🔗Link. - Source: dev.to / almost 3 years ago
What you are looking for is Dataflow. It can be a bit tricky to wrap your head around at first, but I highly suggest leaning into this technology for most of your data engineering needs. It's based on the open source Apache Beam framework that originated at Google. We use an internal version of this system at Google for virtually all of our pipeline tasks, from a few GB, to Exabyte scale systems -- it can do it all. Source: almost 3 years ago
That being said, there is a learning curve in understanding how Apache Beam works. Take a look at the beam website for more information. Source: almost 3 years ago
Take a look at Apache Beam as it's the basis for the Dataflow service. Source: almost 3 years ago
Apache Beam a framework in which we can implement batch and streaming data processing pipeline independent of the underlying engine e.g. spark, flink, dataflow etc. Source: over 3 years ago
ListItem(name='Apache Beam', website='https://beam.apache.org/', category='Batch Processing', short_description='Apache Beam is an open source unified programming model to define and execute data processing pipelines, including ETL, batch and stream processing'),. Source: over 3 years ago
I asked a similar question in a different community, and the closest they came up with was the niche Apache Beam and the obligatory vague hand-waving about no-code systems. So, maybe DEV seeming to skew younger and more deliberately technical might get a better view of things? Is anybody using a "Framework of the Future" that we should know about? - Source: dev.to / almost 4 years ago
Apache Beam may be what you're looking for. It will work with both Python and Java. It's used by GCP in the Cloud Dataflow service as a sort of streaming ETL tool. It occupies a similar niche to Spark, but is a little easier to use IMO. Source: almost 4 years ago
Now that we understand how exactly-once state consistency works, you might think what about side effects, such as sending out an email, or write to database. That is a valid concern, because Flink's recovery mechanism are not sufficient to provide end to end exactly once guarantees even though the application state is exactly once consistent, for example, if message x and y from above contains info and action to... - Source: dev.to / about 4 years ago
Apache Beam - Apache Beam is a scalable framework that allows you to implement batch and streaming data processing jobs. It is a framework that you can use in order to create a data pipeline on Google Cloud or on Amazon Web Services. - Source: dev.to / about 4 years ago
Dataflow is Google's implementation of a runner for Apache Beam jobs in Google cloud. Right now, python and java are pretty much the only two options supported for writing Beam jobs that run on Dataflow. Source: about 4 years ago
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Is Apache Beam good? This is an informative page that will help you find out. Moreover, you can review and discuss Apache Beam here. The primary details have not been verified within the last quarter, and they might be outdated. If you think we are missing something, please use the means on this page to comment or suggest changes. All reviews and comments are highly encouranged and appreciated as they help everyone in the community to make an informed choice. Please always be kind and objective when evaluating a product and sharing your opinion.
