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3rs-of-software-architecture

A guide on how to write readable, reusable, and refactorable software

amazon-athena-cross-account-catalog

🌉 Reference implementation for granting cross-account AWS Glue Data Catalog access from Amazon Athena

amazon-elasticsearch-lambda-samples

Data ingestion for Amazon Elasticsearch Service from S3 and Amazon Kinesis, using AWS Lambda: Sample code

amazon-emr-optimize-data-processing

Optimizing downstream data processing with Amazon Kinesis Data Firehose and Amazon EMR running Apache Spark

amazon-kinesis-agent

Continuously monitors a set of log files and sends new data to the Amazon Kinesis Stream and Amazon Kinesis Firehose in near-real-time.

amazon-kinesis-client

Client library for Amazon Kinesis

amazon-kinesis-client-python

Amazon Kinesis Client Library for Python

amazon-kinesis-connectors

amazon-kinesis-data-streams-developer-guide

The open source version of the Amazon Kinesis Data Streams docs. You can submit feedback & requests for changes by submitting issues in this repo or by making proposed changes & submitting a pull request.

amazon-redshift-commands-using-aws-glue

Use a AWS Glue Python Shell Job to connect to your Amazon Redshift cluster and execute a SQL script stored in Amazon S3.

amazon-redshift-modernize-dw

Can you set up a data warehouse and create a dashboard in under 60 minutes? In this workshop, we show you how with Amazon Redshift, a fully managed cloud data warehouse that provides first-rate performance at the lowest cost for queries across your data warehouse and data lake. Learn the steps and best practices for deploying your data warehouse in your organization. Also, learn how to query petabytes of data in your data warehouse and exabytes of data, without loading or moving, in your Amazon S3 data lake. Finally, learn how to easily migrate from traditional or on-premises data warehouses.

amazon-redshift-python-driver

Redshift Python Connector. It supports Python Database API Specification v2.0.

amazon-redshift-query-patterns-and-optimizations

In this workshop you will launch an Amazon Redshift cluster in your AWS account and load sample data ~ 100GB using TPCH dataset. You will learn query patterns that affects Redshift performance and how to optimize them. In this lab we will also provide a framework to simulate workload management (WLM) queue and run concurrent queries in regular interval and measure performance metrics- query throughput, query duration etc. We will also provide some use cases for Redshift spectrum to query data from s3 in columnar format such as Parquet.

amazon-redshift-utils

Amazon Redshift Utils contains utilities, scripts and view which are useful in a Redshift environment

amazon-sagemaker-workshop

Amazon SageMaker workshops: Introduction, TensorFlow in SageMaker, and more

amazon-serverless-datalake-workshop

A workshop demonstrating the capabilities of S3, Athena, Glue, Kinesis, and Quicksight.

analytics

code snippet for analytics sessions

anomaly-detection-models-using-keystroke-dynamics-behavioural-biometrics-

Capstone Project: Building a classifier to recognize typing pattern of 51 different users from a multi-class classification passcode dataset.

ansible

Ansible is a radically simple IT automation platform that makes your applications and systems easier to deploy and maintain. Automate everything from code deployment to network configuration to cloud management, in a language that approaches plain English, using SSH, with no agents to install on remote systems. https://docs.ansible.com.

antlia

OpenGL-based GUI for Python

application-migration-with-aws-workshop

AWS Application Migration Workshop

awesome-aws

A curated list of awesome Amazon Web Services (AWS) libraries, open source repos, guides, blogs, and other resources. Featuring the Fiery Meter of AWSome.

awesome-python-backend

Index for online reading materials in order to learn Python and backend development/engineering concepts from scratch and develop a mastery sufficient for Senior/Principal Backend Engineers and Data Engineers

aws

Python 3 scripts for AWS use

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-athena-query-federation

The Amazon Athena Query Federation SDK allows you to customize Amazon Athena with your own data sources and code.

aws-auto-terminate-idle-emr

AWS Auto Terminate Idle AWS EMR Clusters Framework is an AWS based solution using AWS CloudWatch and AWS Lambda using a Python script that is using Boto3 to terminate AWS EMR clusters that have been idle for a specified period of time.

aws-cdk

The AWS Cloud Development Kit is a framework for defining cloud infrastructure in code

aws-cdk-examples

Example projects using the AWS CDK

aws-certifications

Collection of self notes to AWS learnings and certifications.