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20 search results found
Killrweather
⭐
1,174
KillrWeather is a reference application (work in progress) showing how to easily integrate streaming and batch data processing with Apache Spark Streaming, Apache Cassandra, Apache Kafka and Akka for fast, streaming computations on time series data in asynchronous event-driven environments.
Flint
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796
A Time Series Library for Apache Spark
Iotdb
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51
This repository is ReadOnly now. please go to https://github.com/apache/incubator-iotdb
Qdmail
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38
Qdmail series. Forked from spok's original library. (Qdmailシリーズのgithub版です。PHP5.6対応).
Chronix.spark
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38
Time series analysis with Apache Spark based on Chronix |
Pysparklines
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35
Python clone of @holman's spark
Sparkler
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26
A cli tool like spark, that produces graphical plots from whitespace-delimited lists of numbers passed by other command line arguments.
Spark Examples
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26
Spark pipelines that correspond to a series of Dataflow examples.
Darima
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23
Distributed ARIMA Models
Ruscello
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19
Real time and offline time series analysis with Spark, Spark Streaming and Storm
Timeseriesspark
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19
Time series and energy data analysis API for Spark.
Spark On Lets Code
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17
This Spark Project provides the sample code related with the blog post series `Spark On` 47 Degrees Blog Series
Rastercube
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15
rastercube is a python library for big data analysis of georeferenced time series data (e.g. MODIS NDVI)
Scalats
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15
Distributed Time Series Analysis on Spark
Spark Tss
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9
Spark Time Series Set data analysis
Spark Mediamanager
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8
A Media manager that will give you the possibility to rename video filenames into something more friendly.
Sparklyr.flint
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7
Sparklyr extension making Flint time series library functionalities (https://github.com/twosigma/flint) easily accessible through R
Dccc2020 Spark Popup Card Tutorial Series
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6
Stock_stream_processing
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6
Stock Trade Analytics leveraging Spark Structured Stream Processing
Predictive Maintenance Spark
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5
Predicting the Remaining Useful Life (RUL) of simulated Turbofan Engines using Spark ML, Spark Structured Streaming, and Kafka.
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