Caddy is an AI powered co-pilot for customer service functions everywhere.

A curated set of references to useful UK Government datasets

Template to deploy a single Data Landing Zone of the Data Management & Analytics Scenario (former Enterprise-Scale Analytics). The Data Landing Zone is a logical construct and a unit of scale in th…

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

We will be using Amazon Textract, Amazon Comprehend, Amazon Elasticsearch with Kibana, Amazon S3, Amazon Cognito to search and analyze over large number of images.

Mastering AWS CloudFormation, published by Packt

Labs and demos for courses for GCP Training (http://cloud.google.com/training).

Wizard for documenting ontologies. WIDOCO is a step by step generator of HTML templates with the documentation of your ontology. It uses the LODE environment to create part of the template.

GCP-Data-Engineer-Study-Guide

A curated list of resources for learning about Google Cloud Platform certifications and how to prepare for it.

Companion webpage to the book "Mathematics For Machine Learning"

A curated list of awesome big data frameworks, ressources and other awesomeness.

A collection of R scripts that implement some of the most fundamental machine learning algorithms

Resources for Python Crash Course, from No Starch Press.

Exercises for O'Reilly's Intermediate Python video series

Entry point repository for the EXASOL Virtual Schemas

The EXASOL package for R provides an interface to the EXASOL database.

The Hadoop ETL UDFs are the main way to load data from Hadoop into EXASOL

A query scheduler with tentacles

Distributed SQL query engine for running interactive analytic queries against big data sources.

Apache Spark - A unified analytics engine for large-scale data processing

Bring data to life with SVG, Canvas and HTML. 📊📈🎉

RHadoop - [email protected]

Bayesian Network with R and Hadoop

Repository containing the Articles on windowsazure.com Documentation Center

h2o = fast statistical, machine learning & math runtime for bigdata

Notes and exercise attempts for "An Introduction to Statistical Learning"