Azure Event Hubs SparkEnabling Continuous Data Processing with Apache Spark and Azure Event Hubs
Stars: ✭ 140 (+68.67%)
Pyspark ExamplesCode examples on Apache Spark using python
Stars: ✭ 58 (-30.12%)
Spark With PythonFundamentals of Spark with Python (using PySpark), code examples
Stars: ✭ 150 (+80.72%)
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 (+197.59%)
Coolplayspark酷玩 Spark: Spark 源代码解析、Spark 类库等
Stars: ✭ 3,318 (+3897.59%)
Spark.NET for Apache® Spark™ makes Apache Spark™ easily accessible to .NET developers.
Stars: ✭ 1,721 (+1973.49%)
MobiusC# and F# language binding and extensions to Apache Spark
Stars: ✭ 929 (+1019.28%)
Whylogs JavaProfile and monitor your ML data pipeline end-to-end
Stars: ✭ 164 (+97.59%)
SparkrdmaRDMA accelerated, high-performance, scalable and efficient ShuffleManager plugin for Apache Spark
Stars: ✭ 215 (+159.04%)
Spark WorkshopApache Spark™ and Scala Workshops
Stars: ✭ 224 (+169.88%)
Example SparkSpark, Spark Streaming and Spark SQL unit testing strategies
Stars: ✭ 205 (+146.99%)
spark-utilsBasic framework utilities to quickly start writing production ready Apache Spark applications
Stars: ✭ 25 (-69.88%)
autThe Archives Unleashed Toolkit is an open-source toolkit for analyzing web archives.
Stars: ✭ 111 (+33.73%)
Spark NotebookInteractive and Reactive Data Science using Scala and Spark.
Stars: ✭ 3,081 (+3612.05%)
blogblog entries
Stars: ✭ 39 (-53.01%)
Learningsparkv2This is the github repo for Learning Spark: Lightning-Fast Data Analytics [2nd Edition]
Stars: ✭ 307 (+269.88%)
WirbelsturmWirbelsturm is a Vagrant and Puppet based tool to perform 1-click local and remote deployments, with a focus on big data tech like Kafka.
Stars: ✭ 332 (+300%)
CdapAn open source framework for building data analytic applications.
Stars: ✭ 509 (+513.25%)
SpartaReal Time Analytics and Data Pipelines based on Spark Streaming
Stars: ✭ 513 (+518.07%)
Kafka Storm StarterCode examples that show to integrate Apache Kafka 0.8+ with Apache Storm 0.9+ and Apache Spark Streaming 1.1+, while using Apache Avro as the data serialization format.
Stars: ✭ 728 (+777.11%)
Goodreads etl pipelineAn end-to-end GoodReads Data Pipeline for Building Data Lake, Data Warehouse and Analytics Platform.
Stars: ✭ 793 (+855.42%)
AngelA Flexible and Powerful Parameter Server for large-scale machine learning
Stars: ✭ 6,458 (+7680.72%)
Live log analyzer sparkSpark Application for analysis of Apache Access logs and detect anamolies! Along with Medium Article.
Stars: ✭ 14 (-83.13%)
Spark FlamegraphEasy CPU Profiling for Apache Spark applications
Stars: ✭ 30 (-63.86%)
MmlsparkSimple and Distributed Machine Learning
Stars: ✭ 2,899 (+3392.77%)
GimelBig Data Processing Framework - Unified Data API or SQL on Any Storage
Stars: ✭ 216 (+160.24%)
Kinesis SqlKinesis Connector for Structured Streaming
Stars: ✭ 120 (+44.58%)
SparkoraPowerful rapid automatic EDA and feature engineering library with a very easy to use API 🌟
Stars: ✭ 51 (-38.55%)
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 (-84.34%)
Azure Event Hubs☁️ Cloud-scale telemetry ingestion from any stream of data with Azure Event Hubs
Stars: ✭ 233 (+180.72%)
Spark Jupyter AwsA guide on how to set up Jupyter with Pyspark painlessly on AWS EC2 clusters, with S3 I/O support
Stars: ✭ 259 (+212.05%)
Spark TdaSparkTDA is a package for Apache Spark providing Topological Data Analysis Functionalities.
Stars: ✭ 45 (-45.78%)
LearningsparkScala examples for learning to use Spark
Stars: ✭ 421 (+407.23%)
SparkleHaskell on Apache Spark.
Stars: ✭ 419 (+404.82%)
Agile data code 2Code for Agile Data Science 2.0, O'Reilly 2017, Second Edition
Stars: ✭ 413 (+397.59%)
SparklyrR interface for Apache Spark
Stars: ✭ 775 (+833.73%)
Spark NkpNatural Korean Processor for Apache Spark
Stars: ✭ 50 (-39.76%)
Pulsar SparkWhen Apache Pulsar meets Apache Spark
Stars: ✭ 55 (-33.73%)
Spark On K8s OperatorKubernetes operator for managing the lifecycle of Apache Spark applications on Kubernetes.
Stars: ✭ 1,780 (+2044.58%)
WaterdropProduction Ready Data Integration Product, documentation:
Stars: ✭ 1,856 (+2136.14%)
SparkmeasureThis is the development repository of SparkMeasure, a tool for performance troubleshooting of Apache Spark workloads. It simplifies the collection and analysis of Spark task metrics data.
Stars: ✭ 368 (+343.37%)
Utils4sscala、spark使用过程中,各种测试用例以及相关资料整理
Stars: ✭ 1,070 (+1189.16%)
Awesome PulsarA curated list of Pulsar tools, integrations and resources.
Stars: ✭ 57 (-31.33%)