Algebird
Apache Spark
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| Algebird | Apache Spark | |
|---|---|---|
| 2 | 101 | |
| 2,288 | 38,320 | |
| 0.5% | 1.1% | |
| 7.6 | 10.0 | |
| 7 days ago | 3 days ago | |
| Scala | Scala | |
| Apache License 2.0 | Apache License 2.0 |
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Algebird
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What do you use when you have to store high cardinality metrics?
https://github.com/twitter/algebird (production ready, used at Twitter, but for the JVM)
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Symbolics.jl: A Modern Computer Algebra System for a Modern Language
Hey, I have... I'm a co-author of Algebird[0], which has many ideas that I'd pull over.
I'm hoping to introduce Clojure's "spec" or "schema" libraries so that the types at play can at least be inspectable inside the system. In a fully typed language, I'd implement the extensible generics as typeclasses.
I suspect it would make it quite a bit tougher (at least in the approach I'm imagining) for folks to write new generic functions, due to many type constructors...
On the other hand, the complexity is there, even if you don't write it down!
It would be a big project, and a worthy effort, to write down types for everything in SICM.
[0] https://github.com/twitter/algebird
Apache Spark
- "xAI will open source Grok"
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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 😉.
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🦿🛴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
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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.
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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.
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Apache Spark VS quix-streams - a user suggested alternative
2 projects | 7 Dec 2023
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Integrate Pyspark Structured Streaming with confluent-kafka
Apache Spark - https://spark.apache.org/
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Spark – A micro framework for creating web applications in Kotlin and Java
A JVM based framework named "Spark", when https://spark.apache.org exists?
- Rest in Peas: The Unrecognized Death of Speech Recognition (2010)
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PySpark SparkSession Builder with Kubernetes Master
I recently saw a pull request that was merged to the Apache/Spark repository that apparently adds initial Python bindings for PySpark on K8s. I posted a comment to the PR asking a question about how to use spark-on-k8s in a Python Jupyter notebook, and was told to ask my question here.
What are some alternatives?
Breeze - Breeze is a numerical processing library for Scala.
Trino - Official repository of Trino, the distributed SQL query engine for big data, formerly known as PrestoSQL (https://trino.io)
Zeppelin - Web-based notebook that enables data-driven, interactive data analytics and collaborative documents with SQL, Scala and more.
Pytorch - Tensors and Dynamic neural networks in Python with strong GPU acceleration
Saddle
Airflow - Apache Airflow - A platform to programmatically author, schedule, and monitor workflows
Spire - Powerful new number types and numeric abstractions for Scala.
Scalding - A Scala API for Cascading
ND4S - ND4S: N-Dimensional Arrays for Scala. Scientific Computing a la Numpy. Based on ND4J.
mrjob - Run MapReduce jobs on Hadoop or Amazon Web Services
Numsca - numsca is numpy for scala
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.