Multiple live webinars on MySQL topics are scheduled through out the month of June. The following topics are set to be covered:
Faster and More Scalable MySQL Reporting and Analytics with Kickfire
Thursday, June 04, 2009
This webinar will give an overview of the best MySQL platform to scale reporting and analytic applications that are available and present the benefits of the Kickfire approach. The following will be covered:
- Survey data from MySQL users on what they view as their top analytics requirements
- An overview of the different options available to MySQL users looking to do reporting and analytics
- An in-depth review of the Kickfire technology
- Industry and customer performance benchmark results of the Kickfire solution
Cloud Computing For DBAs: Presented By MySQL and Zmanda
Tuesday, June 09, 2009
Jimmy Guerrero, Sr Product Manager with Sun and Chander Kant, CEO of Zmanda, will explain how to leverage compute and storage clouds for MySQL backed applications. The fundamentals of cloud computing will be covered as will tips and tricks when deploying and managing MySQL on the cloud. Best practices associated with safeguarding, backing up and recovering your data in the cloud, including across multiple clouds, will be demonstrated.
Open Source Memcached Tools Overview by Gear6
Wednesday, June 10, 2009
Ryan Lucio and Rama Chitta, Software Engineers at Gear6, will provide an overview of several open source tools for memcached, including: Advanced Reporter (for tracking hot keys and clients in memcached servers), Statsproxy (for viewing buffered memcached stats in your browser), Brutis (for sizing and testing changes to memcache clusters), Cacti (for tracking and viewing historical stats for memcached) and Wireshark (for dissecting and analyzing memcached network traffic). In addition to providing an overview of each tool, Ryan and Rama will show how the tools are used and when to use them.
Developing and Deploying SaaS Applications with MySQL and LongJump
Thursday, June 11, 2009
Brian Gerhold, Director of Engineering at Simco Electronics and Pankaj Malviya, Founder/CEO of LongJump, will examine how Simco's development team built a next-generation SaaS application which automated data collection, reporting and compliance leveraging MySQL and the LongJump development platform. Items for discussion will include how Simco approached common SaaS application development problems and the solutions that lead to their success.
For ISVs: Faster Data Reduction and Smoothing for Analysis & Archival in MySQL
Thursday, June 11, 2009
This webinar will explain data smoothing, covering the following topics:
- Business needs and use cases for data smoothing
- Techniques for different normalization needs and different data sets
- Benchmark comparison between scripted/programmed solutions versus database-side, SQL query-side solutions.
- Simple ‘gauge data’ smoothing process, the more complicated 'counter data' smoothing process, and the 'waterfall smoothing' technique for multiple levels of archival and smoothing.
- Optimal indexing for efficient grouping.
- If time permits, we will also show how partitioning can be used for maintenance and quick deletion of archived data, and stored procedures can be used for more complex smoothing applications.
Running MySQL Web Services on Sun systems with Intel Xeon 5500 processors (EMEA)
Monday, June 15, 2009
Speed up application performance, simplify your datacenter and see cost and energy savings with Sun's Open Network System for MySQL - integrating and optimizing compute technologies and featuring the Intel Xeon processor 5500 series with new flash-ready options. Topics covered will include:
- New features on Xeon 5500 processors that speed application performance
- Performance benchmarks and energy saving metrics
- How integrated flash technologies help eliminate I/O bottlenecks, and provide up to 65x faster response time
- Running Linux, Windows, VMware and Solaris environments
- Unique Solaris OS performance, power efficiency, reliability and virtualization advantages for running MySQL
MySQL Cluster: Architectural Deep Dive
Wednesday, June 17, 2009
Tune into this webinar to hear the Director of MySQL Server Engineering provide a detailed "deep dive" into the architecture of MySQL Cluster. In this session, you will learn:
- how MySQL Cluster achieves predictable and consistent real time performance
- how MySQL Cluster achieves continuous availability with sub-second fail-over, automated recovery and geographic replication
- how MySQL Cluster enables users to dynamically scale throughput and data capacity
- how to get started with MySQL Cluster
Guide to Scaling OpenLDAP: MySQL Cluster as Data Store for OpenLDAP Directories
Wednesday, June 24, 2009
Chief Architect of OpenLDAP will demonstrate where this solution can be used, and how to get started with MySQL Cluster as the directory data store. MySQL Cluster Carrier Grade Edition 7.0 can be deployed as the back-end data store for LDAP directory servers. Using industry standard LDAP directories with MySQL Cluster serving as the directory data store, operators can leverage standard LDAP interfaces to consolidate data stores, and for the authentication and authorization of devices and subscribers with real-time performance and carrier-grade availability requirements. The result is total solution that reduces cost, risk and complexity for large, transaction-intensive directory data sets.
Improve Application Performance with the MySQL Enterprise Monitor and the MySQL Query Analyzer
Tuesday, June 30, 2009
Phil Hildebrand, Database Manager at thePlatform, will talk about how they used the MySQL Enterprise Monitor, the MySQL Enterprise Advisors and the MySQL Query Analyzer to deploy new applications and implement changes to production systems more efficiently.Hildebrand will show how to achieve significant performance enhancements while reducing troubleshooting time of difficult SQL code issues, and give a hands-on demonstration of both the MySQL Enterprise Monitor and the MySQL Query Analyzer.
More Information
MySQL Web Seminars
MySQL On Demand Web Seminars - recorded replays
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