Databases for Large Datasets

Databases for Large Datasets

Table of Contents
Part 1: A Quick-Start Tutorial on Relational Database Design.......................................................3
Introduction..................................................................................................................................3
Database Design Objective..........................................................................................................3
Relational Database Design Process............................................................................................3
Part 2: NoSQL database...................................................................................................................5
Part 3: Columnar Databases.............................................................................................................7

Part 1: A Quick-Start Tutorial on Relational Database
Design
Introduction
Relational database enacted by Edgar Codd (of IBM Research) light of 1969. Since then he has
cleared other other data (which by lehodachadan e other calves and the same). Today's Oxygen
Database (RDBMS) service students, Oracle Law, IBM DB2, and Microsoft SQL Server. There
are several illegal RDBMSs and real-time database, as well as MySQL, mSQL (less than the
SQL school) and secure JavaDB (Apache Derby). A measurement database matches
measurements in measurements (or dashes). Thinning up most of it and so on. A law (or tuple) is
called a colpoid. An additional area is called range (or blood). Additional data can be used.
However, the laws that can be applied to each other's internet with data data that we have
outsourced and selected are back in force. A watchdog called SQL (Structured Query Language)
that is superior to everyone else.
Database Design Objective
A dataset will be designed around:
• Eliminate Data Loss: No similar information will be deleted in more than one location. This is
because copying information saves additional space and leads to anomalies.
• Ensure data integrity and accuracy:
• [TODO] other
Relational Database Design Process
Database design is more art than science, as you have to make many decisions. Databases are
usually customized to suit a particular application. No two customized applications are alike, and
hence, no two databases are alike. Guidelines (usually in terms of what not to do instead of what
to do) are provided in making these design decision, but the choices ultimately rest on the
designer.