This document discusses performance tuning and monitoring in SQL Server 2008. It covers:
1) Preparing for performance problems by establishing baselines, collecting information, and using the proper tools for the SQL Server version.
2) Enabling performance data collection using tools like the Data Collector and configuring the Management Data Warehouse.
3) Analyzing results using tools like the Activity Monitor, Resource Governor, and XEvents to diagnose past and active issues.
4) Managing performance using features like the centralized Management Data Warehouse and Policy Based Management to standardize configurations.
The Plan Cache Whisperer - Performance Tuning SQL ServerJason Strate
Execution plans tell SQL Server how to execute queries. If you listen closely, execution plans can also tell you when performance-tuning opportunities exist in your environment. By listening to your queries, you can understand how SQL Server is operating and gain insight into how your environment is functioning. In this session, learn how to use XQuery to browse and search the plan cache, enabling you to find potential performance issues and opportunities to tune your queries. In addition, learn how a performance issue on a single execution plan can be used to find similar issues on other execution plans, enabling you to scale up your performance tuning effectiveness. You can use this information to help reduce issues related to parallelism, shift queries from using scans to using seek operations, or discover exactly which queries are using which indexes. All this and more is readily available through the plan cache.
The Plan Cache Whisperer - Performance Tuning SQL ServerJason Strate
Execution plans tell SQL Server how to execute queries. If you listen closely, execution plans can also tell you when performance-tuning opportunities exist in your environment. By listening to your queries, you can understand how SQL Server is operating and gain insight into how your environment is functioning. In this session, learn how to use XQuery to browse and search the plan cache, enabling you to find potential performance issues and opportunities to tune your queries. In addition, learn how a performance issue on a single execution plan can be used to find similar issues on other execution plans, enabling you to scale up your performance tuning effectiveness. You can use this information to help reduce issues related to parallelism, shift queries from using scans to using seek operations, or discover exactly which queries are using which indexes. All this and more is readily available through the plan cache.
Key Architecture and Performance Principles to Optimize Data ManagementJana Lass
These slides are from a webinar that featured a discussion on ways companies can address shifts in big data infrastructure and design the appropriate data management architecture for optimal performance and scale. It covers lessons gleaned from real customer challenges and implementations, offering attendees practical advice on the kinds of design decisions that can optimize the protection and management modern data platforms from Hadoop to NoSQL databases.
We are back with another set of interesting topics. Want to learn all about processing high data volumes with an ERP? We got you covered! Or maybe your heart is more at the Front-End and you want to know how to use SASS with OutSystems? We also got you covered.
Cloud Migration Paths: Kubernetes, IaaS, or DBaaSEDB
Moving to the cloud is hard, and moving Postgres databases to the cloud is even harder. Public cloud or private cloud? Infrastructure as a Service (IaaS), or Platform as a Service (PaaS)? Kubernetes for the application, or for the database and the application? This talk will juxtapose self-managed Kubernetes and container-based database solutions, Postgres deployments on IaaS, and Postgres DBaaS solutions of which EDB’s DBaaS BigAnimal is the latest example.
MemSQL 201: Advanced Tips and Tricks WebcastSingleStore
Topics discussed include differences between columnstore and rowstore engines, data ingestion, data sharding and query tuning, lastly memory and workload management.
Watch the replay at https://memsql.wistia.com/medias/4siccvlorm
Looking at remote data replication, including possible scenarios and how it compares to syncing information. This slide deck also covers how data replication happens across various operating systems and how to use HotFolder to HotFolder replication.
DataStax Enterprise 4.6, the fastest, most scalable distributed database now integrates Apache Spark analytics on streaming data while providing enterprise-grade backup and restore capabilities to safeguard critical and distributed customer information.
Join established database expert and DataStax's VP of Products, Robin Schumacher, as he explores new capabilities in DataStax Enterprise 4.6 including security enhancements, analytics on streaming data and increased performance for modern web, mobile and IoT applications. Robin will discuss how the new OpsCenter 5.1 makes backup and restore processes push-button simple with the option of restoring critical data to and from the cloud taking the burden off database administrators.
Watch to learn how
- Faster and easier analytics with Spark SQL and Spark Streaming and simplified search make it easy to build scalable fault-tolerant streaming applications
- Enhanced server security with LDAP and Active Directory integration for easier external security management
- An automated high availability option allows a secondary OpsCenter service to take over, should a failure occur so your maintenance operations are always running
There are multiple ways to perform rolling upgrade. But you must identify which one will work for your environment. Below are the two common methods used
Method 1: Transient logical standby database
Convert existing physical standby to logical standby using KEEP IDENTITY clause
Upgrade Logical standby first
Return the Logical standby back to physical standby
Method 2: DBMS_ROLLING_UPGRADE package
Only available from 12c
Its automation of transient logical standby process
Article full link is here: https://www.support.dbagenesis.com/post/oracle-11g-to-12c-rolling-upgrade
How Database Convergence Impacts the Coming Decades of Data ManagementSingleStore
How Database Convergence Impacts the Coming Decades of Data Management by Nikita Shamgunov, CEO and co-founder of MemSQL.
Presented at NYC Database Month in October 2017. NYC Database Month is the largest database meetup in New York, featuring talks from leaders in the technology space. You can learn more at http://www.databasemonth.com.
Precima data scientist and architect discussing their data science and big data tech stack at the Toronto Data Science & Big Data meetup on Jan 30, 2019 hosted by WeCloudData https://weclouddata.com and sponsored by precima and loyaltyone.
SQL Server is really the brain of SharePoint. The default settings of SQL server are not optimised for SharePoint. In this session, Serge Luca (SharePoint MVP) and Isabelle Van Campenhoudt (SQL Server MVP) will give you an overview of what every SQL Server DBA needs to know regarding configuring, monitoring and setting up SQL Server for SharePoint 2013. After a quick description of the SharePoint architecture (site, site collections,…), we will describe the different types of SharePoint databases and their specific configuration settings. Some do’s and don’ts specific to SharePoint and also the disaster recovery options for SharePoint, including (but not only) SQL Server Always On Availability, groups for High availability and disaster recovery in order to achieve an optimal level of business continuity.
Benefits of Attending this Session:
Tips & tricks
Lessons learned from the field
Super return on Investment
Microsoft Azure platform provides a database as a service offering that allows developers to use SQL in the same way as they would in an on-premises location.
Transform Your Mainframe with Microsoft AzurePrecisely
Moving mainframe application data to cloud data warehouses helps to enhance downstream analytics, business insights and next wave technologies such as machine learning. However, integrating mainframe data to cloud data warehouses often need tedious data transformations and highly skilled resources. Learn how the Syncsort Connect product family is helping businesses transform their mainframe to Microsoft Azure ecosystem. Key takeaways from this webinar are:
• How Syncsort Connect builds links between the mainframe and the Microsoft Azure ecosystem
• Value gained by taking mainframe data and bringing it into the Microsoft Azure ecosystem
• The importance of mainframe data when it comes to building out new data driven services and applications in Microsoft Azure
«Паралельний імпорт: економіко-правові аспекти регулювання»
Андрощук Геннадій, завідувач лабораторії правового забезпечення розвитку науки і технологій НДІ інтелектуальної власності НАПрН України, кандидат економічних наук
Key Architecture and Performance Principles to Optimize Data ManagementJana Lass
These slides are from a webinar that featured a discussion on ways companies can address shifts in big data infrastructure and design the appropriate data management architecture for optimal performance and scale. It covers lessons gleaned from real customer challenges and implementations, offering attendees practical advice on the kinds of design decisions that can optimize the protection and management modern data platforms from Hadoop to NoSQL databases.
We are back with another set of interesting topics. Want to learn all about processing high data volumes with an ERP? We got you covered! Or maybe your heart is more at the Front-End and you want to know how to use SASS with OutSystems? We also got you covered.
Cloud Migration Paths: Kubernetes, IaaS, or DBaaSEDB
Moving to the cloud is hard, and moving Postgres databases to the cloud is even harder. Public cloud or private cloud? Infrastructure as a Service (IaaS), or Platform as a Service (PaaS)? Kubernetes for the application, or for the database and the application? This talk will juxtapose self-managed Kubernetes and container-based database solutions, Postgres deployments on IaaS, and Postgres DBaaS solutions of which EDB’s DBaaS BigAnimal is the latest example.
MemSQL 201: Advanced Tips and Tricks WebcastSingleStore
Topics discussed include differences between columnstore and rowstore engines, data ingestion, data sharding and query tuning, lastly memory and workload management.
Watch the replay at https://memsql.wistia.com/medias/4siccvlorm
Looking at remote data replication, including possible scenarios and how it compares to syncing information. This slide deck also covers how data replication happens across various operating systems and how to use HotFolder to HotFolder replication.
DataStax Enterprise 4.6, the fastest, most scalable distributed database now integrates Apache Spark analytics on streaming data while providing enterprise-grade backup and restore capabilities to safeguard critical and distributed customer information.
Join established database expert and DataStax's VP of Products, Robin Schumacher, as he explores new capabilities in DataStax Enterprise 4.6 including security enhancements, analytics on streaming data and increased performance for modern web, mobile and IoT applications. Robin will discuss how the new OpsCenter 5.1 makes backup and restore processes push-button simple with the option of restoring critical data to and from the cloud taking the burden off database administrators.
Watch to learn how
- Faster and easier analytics with Spark SQL and Spark Streaming and simplified search make it easy to build scalable fault-tolerant streaming applications
- Enhanced server security with LDAP and Active Directory integration for easier external security management
- An automated high availability option allows a secondary OpsCenter service to take over, should a failure occur so your maintenance operations are always running
There are multiple ways to perform rolling upgrade. But you must identify which one will work for your environment. Below are the two common methods used
Method 1: Transient logical standby database
Convert existing physical standby to logical standby using KEEP IDENTITY clause
Upgrade Logical standby first
Return the Logical standby back to physical standby
Method 2: DBMS_ROLLING_UPGRADE package
Only available from 12c
Its automation of transient logical standby process
Article full link is here: https://www.support.dbagenesis.com/post/oracle-11g-to-12c-rolling-upgrade
How Database Convergence Impacts the Coming Decades of Data ManagementSingleStore
How Database Convergence Impacts the Coming Decades of Data Management by Nikita Shamgunov, CEO and co-founder of MemSQL.
Presented at NYC Database Month in October 2017. NYC Database Month is the largest database meetup in New York, featuring talks from leaders in the technology space. You can learn more at http://www.databasemonth.com.
Precima data scientist and architect discussing their data science and big data tech stack at the Toronto Data Science & Big Data meetup on Jan 30, 2019 hosted by WeCloudData https://weclouddata.com and sponsored by precima and loyaltyone.
SQL Server is really the brain of SharePoint. The default settings of SQL server are not optimised for SharePoint. In this session, Serge Luca (SharePoint MVP) and Isabelle Van Campenhoudt (SQL Server MVP) will give you an overview of what every SQL Server DBA needs to know regarding configuring, monitoring and setting up SQL Server for SharePoint 2013. After a quick description of the SharePoint architecture (site, site collections,…), we will describe the different types of SharePoint databases and their specific configuration settings. Some do’s and don’ts specific to SharePoint and also the disaster recovery options for SharePoint, including (but not only) SQL Server Always On Availability, groups for High availability and disaster recovery in order to achieve an optimal level of business continuity.
Benefits of Attending this Session:
Tips & tricks
Lessons learned from the field
Super return on Investment
Microsoft Azure platform provides a database as a service offering that allows developers to use SQL in the same way as they would in an on-premises location.
Transform Your Mainframe with Microsoft AzurePrecisely
Moving mainframe application data to cloud data warehouses helps to enhance downstream analytics, business insights and next wave technologies such as machine learning. However, integrating mainframe data to cloud data warehouses often need tedious data transformations and highly skilled resources. Learn how the Syncsort Connect product family is helping businesses transform their mainframe to Microsoft Azure ecosystem. Key takeaways from this webinar are:
• How Syncsort Connect builds links between the mainframe and the Microsoft Azure ecosystem
• Value gained by taking mainframe data and bringing it into the Microsoft Azure ecosystem
• The importance of mainframe data when it comes to building out new data driven services and applications in Microsoft Azure
«Паралельний імпорт: економіко-правові аспекти регулювання»
Андрощук Геннадій, завідувач лабораторії правового забезпечення розвитку науки і технологій НДІ інтелектуальної власності НАПрН України, кандидат економічних наук
End-to-end Troubleshooting Checklist for Microsoft SQL ServerKevin Kline
Learning how to detect, diagnose and resolve performance problems in SQL Server is tough. Often, years are spent learning how to use the tools and techniques that help you detect when a problem is occurring, diagnose the root-cause of the problem, and then resolve the problem.
In this session, attendees will see demonstrations of the tools and techniques which make difficult troubleshooting scenarios much faster and easier, including:
• XEvents, Profiler/Traces, and PerfMon
• Using Dynamic Management Views (DMVs)
• Advanced Diagnostics Using Wait Stats
• Reading SQL Server execution plan
Every DBA needs to know how to keep their SQL Server in tip-top condition, and you’ll need skills the covered in this session to do it.
This session is for you if you want to learn tips and techniques that are used to optimize database development with special emphasis on SQL Server 2005. If you write lot of stored procedures and want to learn the tools of a DBA, this is the session for you. If you are new to SQL Server development environment, you will learn how the various constructs compare to each other and better performance can be produced every time with a brief introduction to understanding Execution Plans.
CTE Ottawa Seminar Day - September 7th, 2012
This clinic introduces the key features and enhancements in SQL Server 2012. It is designed to provide a high-level overview of the product and the key new capabilities in this release.
This course is intended for technology managers and database professionals who want to understand the key capabilities of SQL Server 2012. In many cases, it is assumed that senior technical managers may attend this clinic in order to assess the further training that their technology-focused employees will need in order to adopt SQL Server 2012.
In this presentation we review System Center Advisor and how we can monitor SQL Server 2008 and SQL Server 2008 R2.
Regards,
Eduardo Castro
http://tiny.cc/comwindows
http://ecastrom.blogspot.com
How to Build a Centralized Database Monitoring Solution - Never Miss a Backupaspectconsult
As every DBA knows, the one question you want to be able to answer affirmatively is “Can you recover that data?” Monitoring is critical, but monitoring methods can be imperfect. Traditional methods are difficult to set up and maintain across your entire environment, resulting in incomplete monitoring and missed alerts, so that it’s difficult to be sure of your answer to that all important question. This presentation will: • Show you how to implement a better way to monitor your database environment that is more efficient, easier to maintain, and guarantees that you never miss an alert. • Share the methodology, framework, and key syntax, so that you are certain the databases you are responsible for are always up, always backed up, and never run out of disk/file space. So that your answer to that all important question is always YES!
Adding Value in the Cloud with Performance TestRodolfo Kohn
System quality attributes such performance, scalability, and availability are among the main concerns for cloud application developers and product managers. There are many examples of notable system failures that show how a company business can be affected during key events like a Cyber Monday. However, many difficulties come up when a team intends to consciously manage these type of quality attributes during development and operations. It is possible to group these difficulties in two main aspects: human aspects and technical aspects. During this presentation, I will share main technical difficulties we had to deal with in the last seven years working with different cloud services as well as key technical performance, scalability, and availability issues we were able to find and solve. It is about cases that are relevant through different products, technologies, and teams.
The new Microsoft Azure SQL Data Warehouse (SQL DW) is an elastic data warehouse-as-a-service and is a Massively Parallel Processing (MPP) solution for "big data" with true enterprise class features. The SQL DW service is built for data warehouse workloads from a few hundred gigabytes to petabytes of data with truly unique features like disaggregated compute and storage allowing for customers to be able to utilize the service to match their needs. In this presentation, we take an in-depth look at implementing a SQL DW, elastic scale (grow, shrink, and pause), and hybrid data clouds with Hadoop integration via Polybase allowing for a true SQL experience across structured and unstructured data.
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