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How I've Made MySQL Able to Deal with 10+ Billion Records and Thousands of Searches a Day

Lukas Vileikis

from BreachDirectory.com (Spain)

About speaker

CEO, BreachDirectory

Lukas is a database engineer, ethical hacker, speaker, and an author of an upcoming book "Hacking MySQL: Breaking, Optimizing, and Securing MySQL for Your Use Case."
Lukas runs one of the biggest & fastest data breach search engines in the world - BreachDirectory.

About speakers company

BreachDirectory.com is one of the biggest & fastest data breach search engines in the world. Archiving hundreds of data breaches, it helps tens of millions of people figure out whether they're at risk of identity theft. Aside from the search engine, BreachDirectory.com also has an API functionality allowing anyone to implement data breach data into their own infrastructure and protect their customers, users, or themselves.

Abstracts

broad

Relational database management systems are usually not thought of as the go-to medium for the storage of tens of billions of records.
However, for some projects - such as data breach search engines - they may be just what's needed and necessary.
In this talk, I'll share my experience building BreachDirectory.com on MySQL - you will learn how, why, and when to work with MySQL to tame extremely big sets of data.

Have you ever had the necessity to work with tens of billions of rows? What database management system did you choose to accomplish this goal and why?

Wouldn't it have been awesome if you had a chance to listen to a talk that walked you through the ins and outs of building big data applications on relational database management systems before you made any decisions? One hour to solve problems you didn't even know you would face.

Come to this talk, listen to the founder of one of the biggest data breach search engines in the world - BreachDirectory.com - and gain first-hand experience on how, why, and when to act so that your big data choices don't upset your database, application, customers, or users.

I'll walk you through the configuration of your database for big data, dig into specific use cases, explain how to make databases work with big data-based data-mining search engines, and let you in on secrets around MySQL you should know but almost certainly don't, and so much more.

The Program Committee has not yet taken a decision on this talk

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