dump1090-fa
Apache Spark
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dump1090-fa | Apache Spark | |
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4 | 101 | |
47 | 38,378 | |
- | 1.3% | |
0.0 | 10.0 | |
over 4 years ago | 3 days ago | |
C | Scala | |
GNU General Public License v3.0 or later | 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.
dump1090-fa
- Interval of history files in dump1090-fa
- Tracking Aircraft in Real-Time With Open Source
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dump1090 help
I think you would have to mkdir -p /run/dump1090 if your install script didn't do that for you already. But this isn't gonna be super useful and you probably need to shift it to be compatible with the public_html folder.
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Use DSD and librtlsdr userland programs on Android without root!
Dump1090-fa - https://github.com/adsbxchange/dump1090-fa
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?
gcc_termux - Gcc for termux with fortran scipy etc... Use apt for newest updates instructions in README.txt
Trino - Official repository of Trino, the distributed SQL query engine for big data, formerly known as PrestoSQL (https://trino.io)
rtl_433 - Program to decode radio transmissions from devices on the ISM bands (and other frequencies)
Pytorch - Tensors and Dynamic neural networks in Python with strong GPU acceleration
multimon-ng
Airflow - Apache Airflow - A platform to programmatically author, schedule, and monitor workflows
dsd - Digital Speech Decoder
Scalding - A Scala API for Cascading
librtlsdr - Software to turn the RTL2832U into an SDR
mrjob - Run MapReduce jobs on Hadoop or Amazon Web Services
java-adsb - Mode S and ADS-B decoding library for Java
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.