471 Open source projects that are alternatives of or similar to Scala Spark Tutorial

Griffon Data Science Virtual Machine

Simple and Distributed Machine Learning

A high-performance, scalable and efficient ShuffleManager plugin for Apache Spark, utilizing UCX communication layer

The Archives Unleashed Toolkit is an open-source toolkit for analyzing web archives.

Simplified ETL process in Hadoop using Apache Spark. Has complete ETL pipeline for datalake. SparkSession extensions, DataFrame validation, Column extensions, SQL functions, and DataFrame transformations

Apache Spark Course Material

Fundamentals of Spark with Python (using PySpark), code examples

Data 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.

A complete example of a big data application using : Kubernetes (kops/aws), Apache Spark SQL/Streaming/MLib, Apache Flink, Scala, Python, Apache Kafka, Apache Hbase, Apache Parquet, Apache Avro, Apache Storm, Twitter Api, MongoDB, NodeJS, Angular, GraphQL

curated list of awesome tools and libraries for specific domains

Morpheus brings the leading graph query language, Cypher, onto the leading distributed processing platform, Spark.

Structural Bioinformatics Training Workshop & Hackathon 2018

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 .

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PySpark Cheat Sheet - example code to help you learn PySpark and develop apps faster

Simple and Distributed Machine Learning

Apache Spark on AWS Lambda

Automatic feature engineering using Generative Adversarial Networks using Deeplearning4j and Apache Spark.

RDMA accelerated, high-performance, scalable and efficient ShuffleManager plugin for Apache Spark

A visual ETL development and debugging tool for big data

Simple windows desktop application for viewing & querying Apache Parquet files

Methods for the parallel and distributed analysis and mining of the Protein Data Bank using MMTF and Apache Spark.

Bulletproof Apache Spark jobs with fast root cause analysis of failures.

🏐 Apache Parquet for modern .NET

Serverless proxy for Spark cluster

[NOT MAINTAINED] Predicting Bit coin price using Time series analysis and sentiment analysis of tweets on bitcoin

Hazelcast IMDG Python Client

Kubernetes operator for managing the lifecycle of Apache Spark applications on Kubernetes.

repo for code published on pythondata.com

Convert large amounts of data array to tree fastly

Splash, a flexible Spark shuffle manager that supports user-defined storage backends for shuffle data storage and exchange

Apache Parquet

Example end to end data engineering project.

Apache Spark docker image

A framework for writing Spark 2.x applications in a pretty way

Custom state store providers for Apache Spark

CMAK is a tool for managing Apache Kafka clusters

Mirror of Apache Ambari

A framework for rapid reporting API development; with out of the box support for high cardinality dimension lookups with druid.

A Global Scale Network Telemetry Ecosystem

ROOT I/O in pure Python and NumPy.

Explore high-dimensional datasets and how your algo handles specific regions.

Apache IoTDB

A simple Spark-powered ETL framework that just works 🍺

Distributed Big Data Orchestration Service

Graph Sampling is a python package containing various approaches which samples the original graph according to different sample sizes.

PredictionIO Recommendation Engine Template (Scala-based parallelized engine)

Apache Spark Website

Mirror of Apache Samza

Open source platform for the machine learning lifecycle

The Data Engineering Cookbook

HDFS Shell is a HDFS manipulation tool to work with functions integrated in Hadoop DFS

Amazon S3 Find and Forget is a solution to handle data erasure requests from data lakes stored on Amazon S3, for example, pursuant to the European General Data Protection Regulation (GDPR)

Two-day workshop that covers how to use R to interact databases and Spark

大数据入门指南 ⭐

Research on distributed system

Apache Bookkeeper

Mirror of Apache Kudu

📢 Ready to learn or review your knowledge!

Big Data for Data Engineers Coursera Specialization from Yandex