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akka-examples

samples application for akka topics

akka-spark-experiments

Simple experiment in combining Akka HTTP, actors and Spark to run concurrent subsecond and dynamic Spark jobs

amazonathenaspringbootpoc

This is a simple Spring Boot POC to demonstrate how we can query an Amazon Athena table from a Spring Boot application, or any other Java code in general.

anatomy-of-rdd

ansible-demo

apache-spark-2x-machine-learning-cookbook

Apache Spark 2x Machine Learning Cookbook, published by Packt

app-consumer-loan

appium

This is Chirag... and this Repo for Appium code...... You can see Appium tutorial video at given you tube channel

apptrans

Examples for training

avro-cli-examples

Examples on how to use the command line tools in Avro Tools to read and write Avro files

avro-hadoop-starter

Example MapReduce jobs in Java, Hive, Pig, and Hadoop Streaming that work on Avro data.

avro-hive

avro-mapreduce

avroexamples

awesome-nifi

A list of useful Apache NiFi resources, processor bundles and tools

awesome-recommendation-engine

The purpose of this tiny project is to put things together with the know how that i learned from the course big data expert from formacionhadoop.com The idea is to use spark, kafka,mongo, machine learning algorithms, web sockets and play.

aws-airflow-demo

Project files for the post: Running PySpark Applications on Amazon EMR using Apache Airflow: Using the new Amazon Managed Workflows for Apache Airflow (MWAA) on AWS.

aws-doc-sdk-examples

Welcome to the AWS Code Examples Repository. This repo contains code examples used in the AWS documentation, AWS SDK Developer Guides, and more. For more information, see the Readme.rst file below.

aws-glue-local-scala

aws-solutions-constructs

The AWS Solutions Constructs Library is an open-source extension of the AWS Cloud Development Kit (AWS CDK) that provides multi-service, well-architected patterns for quickly defining solutions

aws-terraform

aws-tutorial-code

AWS tutorial code.

axa-insurance-telematics-kaggle

I developed this case study only in 7 days with Pyspark (Spark 1.6.0) SQL & MLlib. I used Databricks cluster and AWS. %90 AUC is achieved (without involving Trip Matching-Repeated Trips feature) with Random Forest. Many ensembles with RF, GBT and Logistic Regression and outlier elimination could be used to improve this result. There are two versions of my code (test and full execution). Since AWS costs have exceeded my budget I sopped to train my model(s) all dataset for full dataset execution. There is also a ppt that presents my outputs in test execution. Full Data Execution code is more production ready and slightly different version. I had to use Databricks Table Caching to TRAIN and TEST data tables to obtain acceptable performance in production ready version.

azure-content

Repository containing the Articles on azure.microsoft.com Documentation Center

azure-cosmosdb-spark

This project provides a client library that allows Azure Cosmos DB to act as an input source or output sink for Spark jobs.

azure-service-bus-java

☁️ Java client library for Azure Service Bus

azuredatabricksbestpractices

Version 1 of Technical Best Practices of Azure Databricks based on real world Customer and Technical SME inputs

bigdata-notebook

bitcoinj

A library for working with Bitcoin

brickhouse

Hive UDF's for the data warehouse