🤹‍♀ Animations of tidyverse verbs using R, the tidyverse, and gganimate

PLEASE READ: Kibi is now "Siren Investigate", part of the Siren Platform. This code repository is only provided to facilitate code review and integration by Siren customers and cannot be successfully compiled. The code also requires Siren Federate to be installed in Elasticsearch.

SQL JOINS visualizer

A simple utility for SQL-like joins with Json, GeoJson or dbf data in Node, the browser and on the command line. Also creates join reports so you can know how successful a given join was. Try it in the browser -->

A Quick, Interactive Approach to Learning Analytics with SQL

Oh you know, just a coupla, two, tree Kafka Streams in Scala

Create optimal Mongo aggregation pipelines, with joins/lookups, for Apollo queries.

a minimalist dataframe

An implementation of the algorithms presented in the paper "Cardinality Estimation Done Right: Index-Based Join Sampling"

SoftUni - MySQL Module

Perform data joins with any type of JS objects

Data Wrangling with Pandas and Numpy

hibernate examples

DBMS engine implementation in C++ supporting theta, natural and outer joins.

Works related to the Course Introduction to Databases.

SQL QUERIES FROM Basic to Pro level in JUPYTER NOTEBOOK

SQL Queries, MS SQL Server

basic sequel codes (with proper syntaxes and definitions) for Data Analysis and Business Intelligence.

Notes/blogs/tutorials/talks around basics & better optimzed usage of Apache Spark

Repository for practising different types of joins, complex queries, nested queries, cross product, etc in MySQL.

This project includes data modeling, engineering and analysis of employee data. Demonstrates use of SQL, creating schemas, queries, joins, aggregate functions, primary keys, and foreign keys.

Exercises to help improve SQL skills

Resource for SQL MasterClass for Data Analytics

Working with Apache Spark, Creating some small tutorials and at last implemeting a small project

1. Find all the users that took a trip from 29rd and 5th to Bleecker street. 2. Generate a list of all the users who are under the age of 35 3. Generate a list of all the drivers who drove 7 days in a row. 4. List all the users who have deleted/deactivated their account (you may want to consider the subscription status as a column OR a table. 5. Find all users for New York City, Chicago, Boston and Los Angeles.

Contains Code snippets for different Python Data Structure and how their operations

Explained various types of oracle joins

Used Postgres SQL to analyze Parch and Posey Paper Company data

An anime recommendation engine that allows us to recommend anime based on a given anime title or a given user using Pyspark