In this blog post we will load the retail data into MySQL instance and analyze it using Structured Query Language.SQL is one of the most popular languages among developers,data engineers,data scientists and DBAs.
Managing Data quality is one of the important aspect in a IT company.Accurate,consistent and timely available quality data in the relational database that organization use are essential to the management of organization today.
Normalization is the process of successively reducing relations with anomalies to produce smaller, well-structured relations.This blog post contains tutorials for database normalizations and First Normal Form, Second Normal Form, Third Normal Form, BCNF and Fourth Normal Form
A Slowly Changing Dimension is a dimension that stores and manages both current and historical data over time in a data warehouse.
SQL join and Unions are the most common techniques in combining data data from two or more tables.
An Enterprise data warehouse usually contains historical data that is derived from transaction data, but it can include data from other sources. It separates analysis workload from transaction workload and enables a business to consolidate data from several sources.
In a relational database, multiple transactions are used in SQL (Structured Query Language) which can be one or multiple statements. A transaction is a single logical unit in which database…
SQL or Structured Query Language is a special-purpose programming language designed for managing data held in a relational database management system (RDBMS). It provides various ways of manipulating and creating…
A query is a request for data or information from a database table or combination of tables. This data may be generated as results returned by Structured Query Language (SQL) or as pictorials, graphs or complex results, e.g., trend analyses from data-mining tools.This blog post gives an introduction to some of the useful database queries.
Relational database is a computer-software application that interacts with end-users, other applications, and the database itself to capture and analyze data. A general-purpose DBMS allows the definition, creation, querying, update, and administration of databases.