Data Engineering

Most complete list of data dictionary and database documentation tools on the web. Probably.

In this article we will explore how to create custom stored procedures using R which is basically an R function that can be called from a SQL Server stored procedure.

Typical data-driven web apps need a Database (DB) connection to render almost every page or to serve every API call. For scalability reasons, Web Server and Database servers are hosted on different Machines.

Resources and tools to help you build and operate a Modern Data Stack!

A materialized view is a type of database object that contains any results derived from a query. Read on for a quick introduction.

SQL. Contribute to Uppalapa/Database-Projects development by creating an account on GitHub.

2.1. Introduction This chapter provides an overview of how to use SQL to perform simple operations. This tutorial is only intended …

In this article, we'll examine how Blue Oceans are created and how your organization can create Blue Oceans with Data Science too. We'll finish with a roadmap for your organization to build Blue Oceans with Data Science.

Business is changing as a result of the increasing quantity and variety of data available. Significant new opportunities can be realized by harnessing the knowledge contained in these data - if you know where to look. A data science team can help to bring raw data through the analysis process and derive insights that …

This Community Page article describes a data management workflow that can be readily implemented by small research teams and which solves the core challenges of managing regularly updating data. It includes a template repository and tutorial to assist others in setting up their own regularly updating data management systems.

Data Science is not just for Engineers and Statisticians. Exploratory makes it for Everyone.

Learn more about how and when to perform Exploratory Data Analysis - and how to use EDA data for powerful Business Intelligence.

Learn Both SQL Server & PostgreSQL By Doing. Enhance Your Data Analytics Career With Real World Data Science Exercises

Suppose you are starting a new data science project (which could either be a short analysis of one dataset, or a complex multi-year…

I was serious, you don't need to be a SQL expert to work with Databases through R

All connection strings in one place. Find the syntax for your database connection using ADO.NET, ADO, ODBC, OLEDB, C#, VB, VB.NET, ASP.NET and more.

Connect to ODBC databases (using the DBI interface) - r-dbi/odbc

Broadly speaking, there are two strategies for connecting a shiny application to a database using secure authentication. The first is running the application as a service account. The second is run...

Website with the collection of all the cheat sheets of the project.

Structured Query Utility for R. Contribute to smbache/squr development by creating an account on GitHub.

DASE Data Analysis in Software Engineering

An intuitive and practical approach to data analysis, data preparation and machine learning, suitable for all ages!

Unpacking Data Science One Step At A Time.

Data Carpentry is a lesson program of The Carpentries that develops and provides data skills training to researchers.