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Displaying posts with tag: abstract (reset)

Oracle DBAs Guide to MySQL Databases
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Presentation Abstract
More and more MySQL databases are sneaking their way into the Oracle environment.  If you’re being asked to
managing these new databases, you may not know where to start.

We’ll give and overview of MySQL specifically for Oracle DBAs.  Since you already have the requisite conceptual
framework as an Oracle DBA, a quickstart will help you get up to speed with how things are done in the MySQL
world.

Outline

Introduction
1. Installation
2. User Management, Authentication + Privileges
3. Backup and Recovery
4. Replication Solutions Compared to DataGuard
5. Transactions, Query Optimization + Profiling
6. Views and Partitioning
7. Server Tuning and Optimization
Conclusions

Learning Objective 1













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Bulletproofing MySQL Replication
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Just submitted a couple proposals for O’Reilly’s MySQL Conference in April 2009, Santa Clara, CA.  Fingers crossed!

Proposer

Sean Hull (hullsean@gmail.com)

Speakers

Sean Hull (hullsean@gmail.com)

Description

MySQL Replication is powerful technology, but many things can trip you up. Sometimes the slaves get out of sync with the master, or dump errors into their logfiles. Sometimes replication just can’t keep up. In this presentation will explain how to verify with checksums, avoid traps in your code, monitor, and even help you improve the performance of your replication setup.

Abstract

There are a few big gotchas with MySQL’s statement based replication. Non-deterministic functions can cause the slave to get out of sync, mixing

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My Drupal – MySQL high performance optimizations
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Just submitted a couple proposals for O’Reilly’s MySQL Conference in April 2009, Santa Clara, CA.  Fingers crossed!

Proposal details

Proposer

Sean Hull (hullsean@gmail.com)

Speakers

Sean Hull (hullsean@gmail.com)

Description

Drupal is an open-source CMS that has a huge user base and community. I recently managed the MySQL side of the equation for a Drupal-based website of a large television brand. There are some documents out there for high performance MySQL with Drupal, I found them lacking. So I did extensive benchmarking, and profiling of queries, to find the best overall setup.

Session type: 45 minute conference session

Topics: Business and Case Studies

Abstract

Drupal is the open-source CMS

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MERGE, Views, or Partition Tables – Choices for Archival Databases
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Just submitted a couple proposals for O’Reilly’s MySQL Conference in April 2009, Santa Clara, CA.  Fingers crossed!

Proposal details

Proposer

Sean Hull (hullsean@gmail.com)

Speakers

Sean Hull (hullsean@gmail.com)

Description

MySQL has a number of great features for managing archival data, and very large tables. We look at the MERGE storage engine first. Then we look at views which can hide many tables behind the scenes. And lastly we look at partitioned tables.

Session type: 45 minute conference session

Topics: Data Warehousing and Business Intelligence

Abstract

MySQL has some very powerful features for large databases now available in 5.1.

We’ll look at the MERGE storage

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Pixie Dust For MySQL: 5 Elemental Lessons
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The fifth and last abstract submitted for the O’Reilly MySQL Conference in April 2008.

As an independent consultant, there are quite a few trouble spots I see repeatedly. I’ll discuss five of them, and how to avoid them in your own infrastructure.

As an independent consultant for twelve years, I?ve encountered a lot of interesting and challenging projects. I?ll discuss five different cases, and what lessons I took away from each.

1. Intro
2. The Right Hardware
3. Importance of Good Testing
4. Patchwork or Good Design
5. Don?t Mix Opposites
6. Use The Technology
7. Conclusion

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Is Your Database an Open Book?
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The fourth in a series of five abstracts for the O’Reilly MySQL Conference in April 2008.

Learn how to audit your systems, and run through the right checklists so you can sleep better at night knowing your systems are more secure.

Security is on everyone?s radar these days. You may be wondering yourself whether your database systems are really as secure as they should be. We?ll discuss some of the latest vulnerabilities, and what you can do to protect your systems.

1. Introduction
2. Authentication
3. SQL Injection
4. OS Security
5. Network Security
6. Conclusions

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Hitchhiker?s Guide to MySQL Replication
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This is the third in a series of five abstracts submitted to the O’Reilly MySQL Conference in April 2008.

MySQL has a great facility for creating a read-only failover database. We’ll show you how to setup, start, failover, and monitor it.

Setting up MySQL to have a master + slave failover capability might be intimidating, but it needn’t be.

1. Intro
2. Anatomy of MySQL Replication
3. Initial Master copy
4. Setup + starting the slave
5. Failover from Master
6. Adding another slave
7. Monitoring your slave db
8. Conclusions

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Hacking MySQL
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The second in a series of five abstracts for the O’Reilly MySQL Conference in April 2008.

Inevitably hackers are trying to get at your data, so you mine as well know what they can and can’t do. What better way to discover where you’re vulnerable than hacking your own systems.

Operating Systems have bugs, Database Software has bugs, and so does your application, probably. A better question is how hackable are you? We?ll look at some of the nefarious ways intruders can get in, so you?ll better know how secure your systems really are.

1. Intro
2. OS level
3. Database level
4. Application level
5. Conclusions

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A Vegetarian Database? Diet Essentials for MySQL
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I’ve just put together my abstracts for O’Reilly’s MySQL Conference in April 2008. Some of them might sound familiar…

Learn to watch your database like a fitness diet. Trim down the SQL queries, use the right hardware, and monitor the right metrics to keep it running fast.

There are healthy databases and their are unhealthy ones. We?ll take a look at what you feed your database, and how to keep it fit with just the right diet of hardware, configuration, and SQL query tuning.

1. Introduction - Diet of a Champion Database
2. Disk, Memory, CPU - Body by Intel
3. Applications - Lean & Fit
4. SQL Queries - High Fiber, Low Fat
5. Conclusions

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Showing entries 1 to 9

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