We did it! Hear how we went from a third party database system to a 60G MySQL Cluster hosting large external web services and intensive internal data applications flawlessly, in three months.
A panel discussion hosted by Robin Schumacher that presents topics to a variety of data warehousing experts about issues concerning their industry.
MySQL 5.0 and higher versions support stored routines that are based on the SQL:2003 standard. The introduction of stored programs in MySLQ 5 has been a significant milestone of the MySQL language. This tutorial will offer a brief overview of the stored program language and focus on how to improve and tune stored programs.
The Large Synoptic Survey Telescope will produce a 20 petabyte database. To support this huge database, we are investigating a new generic scalable architecture with MySQL as a core component. Learn how it can be used by others to manage extremely large databases.
Data Warehousing and Business Intelligence is gaining mission critical status in managing today's enterprise. It is critical that these datamarts are built on good foundation. This tutorial focuses on design principles and techniques to build a solid foundation for datamarts using MySQL.
This session will describe the benefits and approach to building OnLine Analytical Processing (OLAP) applications using MySQL Enterprise and Pentaho's Mondrian OLAP Project.
In this discussion we'll focus on the architecture, approaches, and challenges of cheaply loading the daily and historical stock market data into MySQL necessary for financial data applications.
MySQL Workbench is a highly customizable tool to help you make your everyday job more efficient. This tutorial will show how to write configurable, flexible, cross-platform plugins (C++, Python, LUA).
Each database product has strengths and weaknesses. Having chosen MySQL as your database product, leverage the strengths of the product to maximize design and performance. Learn the things to avoid.
One of the most powerful, yet underutilized MySQL features are User Defined Functions and Aggregates. Learn how to use them to dramatically improve the speed of your data warehouse processing.