SparkjniA heterogeneous Apache Spark framework.
Stars: ✭ 11 (-90%)
awesome-AI-kubernetes❄️ 🐳 Awesome tools and libs for AI, Deep Learning, Machine Learning, Computer Vision, Data Science, Data Analytics and Cognitive Computing that are baked in the oven to be Native on Kubernetes and Docker with Python, R, Scala, Java, C#, Go, Julia, C++ etc
Stars: ✭ 95 (-13.64%)
Data AcceleratorData Accelerator for Apache Spark simplifies onboarding to Streaming of Big Data. It offers a rich, easy to use experience to help with creation, editing and management of Spark jobs on Azure HDInsights or Databricks while enabling the full power of the Spark engine.
Stars: ✭ 247 (+124.55%)
H2o 3H2O is an Open Source, Distributed, Fast & Scalable Machine Learning Platform: Deep Learning, Gradient Boosting (GBM) & XGBoost, Random Forest, Generalized Linear Modeling (GLM with Elastic Net), K-Means, PCA, Generalized Additive Models (GAM), RuleFit, Support Vector Machine (SVM), Stacked Ensembles, Automatic Machine Learning (AutoML), etc.
Stars: ✭ 5,656 (+5041.82%)
SparkApache Spark - A unified analytics engine for large-scale data processing
Stars: ✭ 31,618 (+28643.64%)
GeopysparkGeoTrellis for PySpark
Stars: ✭ 167 (+51.82%)
MmlsparkSimple and Distributed Machine Learning
Stars: ✭ 2,899 (+2535.45%)
SparklerSpark-Crawler: Apache Nutch-like crawler that runs on Apache Spark.
Stars: ✭ 362 (+229.09%)
MagellanGeo Spatial Data Analytics on Spark
Stars: ✭ 507 (+360.91%)
bigdata-funA complete (distributed) BigData stack, running in containers
Stars: ✭ 14 (-87.27%)
DeltaAn open-source storage layer that brings scalable, ACID transactions to Apache Spark™ and big data workloads.
Stars: ✭ 3,903 (+3448.18%)
BigdlBuilding Large-Scale AI Applications for Distributed Big Data
Stars: ✭ 3,813 (+3366.36%)
Spark With PythonFundamentals of Spark with Python (using PySpark), code examples
Stars: ✭ 150 (+36.36%)
Spark.jlJulia binding for Apache Spark
Stars: ✭ 153 (+39.09%)
HyperspaceAn open source indexing subsystem that brings index-based query acceleration to Apache Spark™ and big data workloads.
Stars: ✭ 246 (+123.64%)
SparkrdmaRDMA accelerated, high-performance, scalable and efficient ShuffleManager plugin for Apache Spark
Stars: ✭ 215 (+95.45%)
CrateCrateDB is a distributed SQL database that makes it simple to store and analyze
massive amounts of data in real-time.
Stars: ✭ 3,254 (+2858.18%)
Data Science Ipython NotebooksData science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.
Stars: ✭ 22,048 (+19943.64%)
MetorikkuA simplified, lightweight ETL Framework based on Apache Spark
Stars: ✭ 361 (+228.18%)
LogislandScalable stream processing platform for advanced realtime analytics on top of Kafka and Spark. LogIsland also supports MQTT and Kafka Streams (Flink being in the roadmap). The platform does complex event processing and is suitable for time series analysis. A large set of valuable ready to use processors, data sources and sinks are available.
Stars: ✭ 97 (-11.82%)
Spark Py NotebooksApache Spark & Python (pySpark) tutorials for Big Data Analysis and Machine Learning as IPython / Jupyter notebooks
Stars: ✭ 1,338 (+1116.36%)
SuccinctEnabling queries on compressed data.
Stars: ✭ 257 (+133.64%)
autThe Archives Unleashed Toolkit is an open-source toolkit for analyzing web archives.
Stars: ✭ 111 (+0.91%)
FeastFeature Store for Machine Learning
Stars: ✭ 2,576 (+2241.82%)
leaflet heatmap简单的可视化湖州通话数据 假设数据量很大,没法用浏览器直接绘制热力图,把绘制热力图这一步骤放到线下计算分析。使用Apache Spark并行计算数据之后,再使用Apache Spark绘制热力图,然后用leafletjs加载OpenStreetMap图层和热力图图层,以达到良好的交互效果。现在使用Apache Spark实现绘制,可能是Apache Spark不擅长这方面的计算或者是我没有设计好算法,并行计算的速度比不上单机计算。Apache Spark绘制热力图和计算代码在这 https://github.com/yuanzhaokang/ParallelizeHeatmap.git .
Stars: ✭ 13 (-88.18%)
ZeppelinWeb-based notebook that enables data-driven, interactive data analytics and collaborative documents with SQL, Scala and more.
Stars: ✭ 5,513 (+4911.82%)
RsparklingRSparkling: Use H2O Sparkling Water from R (Spark + R + Machine Learning)
Stars: ✭ 65 (-40.91%)
KoalasKoalas: pandas API on Apache Spark
Stars: ✭ 3,044 (+2667.27%)
Sparkling GraphSparklingGraph provides easy to use set of features that will give you ability to proces large scala graphs using Spark and GraphX.
Stars: ✭ 139 (+26.36%)
GeniA Clojure dataframe library that runs on Spark
Stars: ✭ 152 (+38.18%)
GafferA large-scale entity and relation database supporting aggregation of properties
Stars: ✭ 1,642 (+1392.73%)
GimelBig Data Processing Framework - Unified Data API or SQL on Any Storage
Stars: ✭ 216 (+96.36%)
spark-acidACID Data Source for Apache Spark based on Hive ACID
Stars: ✭ 91 (-17.27%)
Spark Movie LensAn on-line movie recommender using Spark, Python Flask, and the MovieLens dataset
Stars: ✭ 745 (+577.27%)
LabsResearch on distributed system
Stars: ✭ 73 (-33.64%)
SetlA simple Spark-powered ETL framework that just works 🍺
Stars: ✭ 79 (-28.18%)
TreevizTree diagrams with JavaScript 🌲 📈
Stars: ✭ 95 (-13.64%)
Vuerd VscodeERD Editor vscode extension
Stars: ✭ 95 (-13.64%)
Spark FfmFFM (Field-Awared Factorization Machine) on Spark
Stars: ✭ 101 (-8.18%)
Repository个人学习知识库涉及到数据仓库建模、实时计算、大数据、Java、算法等。
Stars: ✭ 92 (-16.36%)
MahaA framework for rapid reporting API development; with out of the box support for high cardinality dimension lookups with druid.
Stars: ✭ 101 (-8.18%)
Big Data🔧 Use dplyr to analyze Big Data 🐘
Stars: ✭ 93 (-15.45%)
ReefMirror of Apache REEF
Stars: ✭ 92 (-16.36%)
Pyspark Cheatsheet🐍 Quick reference guide to common patterns & functions in PySpark.
Stars: ✭ 108 (-1.82%)
Tennis Crystal BallUltimate Tennis Statistics and Tennis Crystal Ball - Tennis Big Data Analysis and Prediction
Stars: ✭ 107 (-2.73%)
VizukaExplore high-dimensional datasets and how your algo handles specific regions.
Stars: ✭ 100 (-9.09%)
RapidqlQuery multiple APIs and DBs and join them in a single query
Stars: ✭ 91 (-17.27%)