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simplesparkanalysis

sms_aditya

school management

snowflakedbutils_redshiftutils

software_install_md

softwares

softwaretesting

solutions-ios-push-notification-sample-backend-java

song_plays_workshop_tutorial

Song Plays Workshop Tutorial

soundrecorderproject

Sound_Libraries

source-code-from-tutorials

Here is the source code from all of my tutorials.

source_codes_links

spark

Mirror of Apache Spark

spark-1

Apache Spark is a fast, in-memory data processing engine with elegant and expressive development API's to allow data workers to efficiently execute streaming, machine learning or SQL workloads that require fast iterative access to datasets.This project will have sample programs for Spark in Scala language .

spark-2

spark-2.1

Apache Spark is a fast and general-purpose cluster computing system. It provides high-level APIs in Java, Scala, Python and R, and an optimized engine that supports general execution graphs. It also supports a rich set of higher-level tools including Spark SQL for SQL and structured data processing, MLlib for machine learning, GraphX for graph processing, and Spark Streaming.

spark-3

spark-3.0-examples

Examples of Spark 3.0

spark-binlog

A library for querying MySQL Binlog with Apache Spark structure streaming, for Spark SQL , DataFrames and [MLSQL](https://www.mlsql.tech).

spark-cassandra-connector

DataStax Spark Cassandra Connector

spark-cassandra-example

Example usage of spark cassandra connector

spark-clean-conform

A collection of tools to clean and conform data geared towards CSV files

spark-essentials

The official repository for the Rock the JVM Spark Essentials with Scala course

spark-etl

Set of ETL utils for Spark

spark-etl-pipeline

Various data stream/batch process demo with Apache Scala Spark 🚀

spark-hadoop-utils

Spark-hadoop-utils for bigdata training utils

spark-java

This project will have sample programs for Spark in java .

spark-java-microservice

Spark framework is a rapid development web framework inspired by the Sinatra framework for Ruby and is built around Java 8 Lambda Expression philosophy, making it less verbose than most applications written in other Java frameworks.

spark-learnings

spark-ml-deployment

spark-nested-example

Example on how to load nested data, starting from non-nested (CSV) data