908 Open source projects that are alternatives of or similar to Live_log_analyzer_spark

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

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

Code for Agile Data Science 2.0, O'Reilly 2017, Second Edition

Haskell on Apache Spark.

Simple and Distributed Machine Learning

.NET for Apache® Spark™ makes Apache Spark™ easily accessible to .NET developers.

Apache Spark Connector for Azure Cosmos DB

Spark extension for processing large-scale 3D data sets: Astrophysics, High Energy Physics, Meteorology, …

Powerful rapid automatic EDA and feature engineering library with a very easy to use API 🌟

Simple and Distributed Machine Learning

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 .

The Internals of Spark SQL

An open source indexing subsystem that brings index-based query acceleration to Apache Spark™ and big data workloads.

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

Routines and data structures for using isarn-sketches idiomatically in Apache Spark

Some class materials for a data processing course using PySpark

Apache Spark in your IDE with gradle

Apache Spark for data engineers

A library that provides useful extensions to Apache Spark and PySpark.

Linkis helps easily connect to various back-end computation/storage engines(Spark, Python, TiDB...), exposes various interfaces(REST, JDBC, Java ...), with multi-tenancy, high performance, and resource control.

O'Reilly Book: [Data Algorithms with Spark] by Mahmoud Parsian

Training models with Apache Spark, PySpark for Titanic Kaggle competition

C# and F# language binding and extensions to Apache Spark

Spark Gotchas. A subjective compilation of the Apache Spark tips and tricks

R interface for Apache Spark

A boilerplate for writing PySpark Jobs

Apache Spark™ and Scala Workshops

Big Data Processing Framework - Unified Data API or SQL on Any Storage

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.

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

Sentiment Analysis of a Twitter Topic with Spark Structured Streaming

Real-world Spark pipelines examples

JupyterLab extension that enables monitoring launched Apache Spark jobs from within a notebook

This is the github repo for Learning Spark: Lightning-Fast Data Analytics [2nd Edition]

Wirbelsturm is a Vagrant and Puppet based tool to perform 1-click local and remote deployments, with a focus on big data tech like Kafka.

A simple Spark TDD example

❄️ 🐳 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

My presentation at ODSC India 2018 about Deep Learning with Apache Spark

🎼 Docker compose files for various kafka stacks

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

Asynchronous actions for PySpark

Structural Bioinformatics Training Workshop & Hackathon 2018

Apache Spark (PySpark) Practice on Real Data

An end-to-end GoodReads Data Pipeline for Building Data Lake, Data Warehouse and Analytics Platform.

Interactive and Reactive Data Science using Scala and Spark.

An open-source storage layer that brings scalable, ACID transactions to Apache Spark™ and big data workloads.

A guide on how to set up Jupyter with Pyspark painlessly on AWS EC2 clusters, with S3 I/O support

ClickHouse Native Protocol JDBC implementation

酷玩 Spark: Spark 源代码解析、Spark 类库等

Kyuubi is a unified multi-tenant JDBC interface for large-scale data processing and analytics, built on top of Apache Spark

Spark structured streaming examples with using of version 3.0.0

一个大数据架构师应该掌握的技能

Make Your Company Data Driven. Connect to any data source, easily visualize, dashboard and share your data.

80+ DevOps & Data CLI Tools - AWS, GCP, GCF Python Cloud Function, Log Anonymizer, Spark, Hadoop, HBase, Hive, Impala, Linux, Docker, Spark Data Converters & Validators (Avro/Parquet/JSON/CSV/INI/XML/YAML), Travis CI, AWS CloudFormation, Elasticsearch, Solr etc.

The Internals of Spark Structured Streaming

Real Time Analytics and Data Pipelines based on Spark Streaming

Scriptis is for interactive data analysis with script development(SQL, Pyspark, HiveQL), task submission(Spark, Hive), UDF, function, resource management and intelligent diagnosis.

Isolation Forest on Spark

State of the Art Natural Language Processing

Basin is a visual programming editor for building Spark and PySpark pipelines. Easily build, debug, and deploy complex ETL pipelines from your browser