beam
Apache Spark
Our great sponsors
beam | Apache Spark | |
---|---|---|
30 | 101 | |
7,445 | 38,104 | |
1.1% | 1.1% | |
10.0 | 10.0 | |
5 days ago | 6 days ago | |
Java | Scala | |
Apache License 2.0 | Apache License 2.0 |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
beam
-
Ask HN: Does (or why does) anyone use MapReduce anymore?
The "streaming systems" book answers your question and more: https://www.oreilly.com/library/view/streaming-systems/97814.... 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 https://beam.apache.org very much is. Nowadays people often use "map reduce" as a shorthand for whatever batch processing system they're building on top of.
-
beam VS quix-streams - a user suggested alternative
2 projects | 7 Dec 2023
-
Releasing Temporian, a Python library for processing temporal data, built together with Google
Flexible runtime ☁️: Temporian programs can run seamlessly in-process in Python, on large datasets using Apache Beam.
-
Real Time Data Infra Stack
Apache Beam: Streaming framework which can be run on several runner such as Apache Flink and GCP Dataflow
-
Google Cloud Reference
Apache Beam: Batch/streaming data processing 🔗Link
-
Apache Beam Moved From Jira to GitHub Issues - You Can Too!
The Apache Beam community recently migrated to GitHub Issues after years of using Jira as our issue tracker. This post details why we made the move, how we did it, and how to decide if migrating is appropriate for your project.
-
A trick to have arbitrary infix operators in Python
Apache Beam works this way. Code sample: https://github.com/apache/beam/blob/master/examples/multi-la...
-
Jinja2 not formatting my text correctly. Any advice?
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'),
-
The Data Engineer Roadmap 🗺
Apache Beam
-
Frameworks of the Future?
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?
Apache Spark
- "xAI will open source Grok"
-
Groovy 🎷 Cheat Sheet - 01 Say "Hello" from Groovy
Recently I had to revisit the "JVM languages universe" again. Yes, language(s), plural! Java isn't the only language that uses the JVM. I previously used Scala, which is a JVM language, to use Apache Spark for Data Engineering workloads, but this is for another post 😉.
-
🦿🛴Smarcity garbage reporting automation w/ ollama
Consume data into third party software (then let Open Search or Apache Spark or Apache Pinot) for analysis/datascience, GIS systems (so you can put reports on a map) or any ticket management system
-
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.
-
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.
-
Apache Spark VS quix-streams - a user suggested alternative
2 projects | 7 Dec 2023
-
Integrate Pyspark Structured Streaming with confluent-kafka
Apache Spark - https://spark.apache.org/
- Rest in Peas: The Unrecognized Death of Speech Recognition (2010)
-
Gotta write this on my resume
So for example contributing to say spark may better for experience(and resume) than Twitter-the algorithm.
-
Query Real Time Data in Kafka Using SQL
Additionally, one of the challenges of working with Kafka is how to efficiently analyze and extract insights from the large volumes of data stored in Kafka topics. Traditional batch processing approaches, such as Hadoop MapReduce or Apache Spark, can be slow and expensive, and may not be suitable for real-time analytics. To address this challenge, you can use SQL queries with Kafka to analyze and extract insights from the data in real time.
What are some alternatives?
Trino - Official repository of Trino, the distributed SQL query engine for big data, formerly known as PrestoSQL (https://trino.io)
Pytorch - Tensors and Dynamic neural networks in Python with strong GPU acceleration
Airflow - Apache Airflow - A platform to programmatically author, schedule, and monitor workflows
Scalding - A Scala API for Cascading
mrjob - Run MapReduce jobs on Hadoop or Amazon Web Services
luigi - Luigi is a Python module that helps you build complex pipelines of batch jobs. It handles dependency resolution, workflow management, visualization etc. It also comes with Hadoop support built in.
Apache Arrow - Apache Arrow is a multi-language toolbox for accelerated data interchange and in-memory processing
Weka
Smile - Statistical Machine Intelligence & Learning Engine
Apache Calcite - Apache Calcite
Scio - A Scala API for Apache Beam and Google Cloud Dataflow.
Deeplearning4j - Suite of tools for deploying and training deep learning models using the JVM. Highlights include model import for keras, tensorflow, and onnx/pytorch, a modular and tiny c++ library for running math code and a java based math library on top of the core c++ library. Also includes samediff: a pytorch/tensorflow like library for running deep learning using automatic differentiation.