MySQL Performance Webinar is a series of slides giving hints on how improve performance in a MySQL installation and how to analyze how the server is doing.
Performance Schema and Sys Schema in MySQL 5.7Mark Leith
MySQL 5.7 now includes the Sys Schema by default, which builds upon the awesome instrumentation framework laid by Performance Schema.
Performance Schema has had 23 worklogs completed in 5.7 alone, such as memory instrumentation, tying in transactions and stored programs in to the current statement/stage/wait instruments and wait graph, prepared statement instruments, metadata lock information, improved session status and variable reporting, the new structured replication tables, and more.
The Sys schema builds upon this strong foundation with easy reporting views and functions, as well as procedures to help both set up and manage the configuration of Performance Schema, and help diagnose performance issues with your database instances on the whole.
Come along and hear from the original developer of the Sys schema about all of these exciting improvements in MySQL instrumentation for the upcoming MySQL 5.7 release!
In the Postgres Enterprise Manager 5.0, DBAs and Developers can take advantage of more customizable metric gathering, richer alerting, better log analysis and easier configuration.
Postgres Enterprise Manager is the only solution available today that allows you to intelligently monitor, manage, and tune large numbers of Postgres database servers enterprise-wide from an integrated graphical console.
In this release of Postgres Enterprise Manager 5.0 EntepriseDB brings you even more features to manage your Postgres database.
* Custom Probes allow DBAs to add to the 225+ ready to use out-of-the-box probes by creating their own.
* Richer alerting control with low/medium/high thresholds and time-of-day based alerting.
* A Log Analyst Expert that reports on statistics like longest running queries, frequently run queries, unique queries and much more.
* Easier setup with auto-discovery of managed servers and remote monitoring capabilities using direct JDBC connections.
Target Audience: This presentation is intended for IT Decision-makers or any member of an IT team who purchases or deploys a database. If you are currently using a Postgres database, or are interested in adding Postgres to your data center, this is the perfect opportunity to learn more about EnterpriseDB’s Postgres Enterprise Manager.
For more details on Postgres Enterprise Manager please email sales@enterprisedb.com.
Best Practices for a Complete Postgres Enterprise Architecture SetupEDB
This presentation provides the details of a best-practice reference architecture for deploying Postgres into your enterprise for large scale OLTP solutions. It reviews how to put all the key pieces together to build a robust, reliable and cost-effective Postgres infrastructure, providing recommendations for configuration and deployment guidance.
This presentation reviews:
* Standard requirements for robust and reliable OTLP architecture
* How to use open source based Postgres Plus building blocks to meet those requirements
* High availability system design with streaming replication
* Backup with logical and physical backup recommendations and setup for point-in-time recovery
* Replication – single master and multi-master considerations
* Database infrastructure monitoring with alerts
* Managing and tuning your Postgres database configuration
To listen to the recording visit www.enterprisedb.com - Resources - Webcasts - On Demand webcasts
Email sales@enterprisedb.com with your questions about Postgres.
EDB Failover Manager is EnterpriseDB’s newest product that helps you setup reliable and highly available Postgres configurations. Based on technology that has been hardened over the last couple of years, Failover Manager is the missing piece of the high availability solution that you have been asking for.
This presentation will give you the details on this rock-solid product -- what is it, how to use it, and the benefits of this lightweight, non single-point-of-failure product.
This presentation reviews:
• What is EDB Failover Manager
• How to minimize downtime
• Key features such as: Cluster health monitoring, node/database failure detection, automatic failover mechanisms and user customizable options.
This presentation is intended for organizations seeking a solution for High Availability with their Postgres database.
For a live demo or presentation please contact sales@enterprisedb.com.
The MySQL sys schema was integrated fully into MySQL Server from version 5.7.7. Whether you are a DBA trying to determine where the resources are being used on your database instance and by whom, or a developer trying to figure out why your MySQL statements are running too slowly, the MySQL sys schema can help. Join this session to learn how to better use the MySQL sys schema to answer your day-to-day questions—from the original developer of the MySQL sys schema.
Performance Schema and Sys Schema in MySQL 5.7Mark Leith
MySQL 5.7 now includes the Sys Schema by default, which builds upon the awesome instrumentation framework laid by Performance Schema.
Performance Schema has had 23 worklogs completed in 5.7 alone, such as memory instrumentation, tying in transactions and stored programs in to the current statement/stage/wait instruments and wait graph, prepared statement instruments, metadata lock information, improved session status and variable reporting, the new structured replication tables, and more.
The Sys schema builds upon this strong foundation with easy reporting views and functions, as well as procedures to help both set up and manage the configuration of Performance Schema, and help diagnose performance issues with your database instances on the whole.
Come along and hear from the original developer of the Sys schema about all of these exciting improvements in MySQL instrumentation for the upcoming MySQL 5.7 release!
In the Postgres Enterprise Manager 5.0, DBAs and Developers can take advantage of more customizable metric gathering, richer alerting, better log analysis and easier configuration.
Postgres Enterprise Manager is the only solution available today that allows you to intelligently monitor, manage, and tune large numbers of Postgres database servers enterprise-wide from an integrated graphical console.
In this release of Postgres Enterprise Manager 5.0 EntepriseDB brings you even more features to manage your Postgres database.
* Custom Probes allow DBAs to add to the 225+ ready to use out-of-the-box probes by creating their own.
* Richer alerting control with low/medium/high thresholds and time-of-day based alerting.
* A Log Analyst Expert that reports on statistics like longest running queries, frequently run queries, unique queries and much more.
* Easier setup with auto-discovery of managed servers and remote monitoring capabilities using direct JDBC connections.
Target Audience: This presentation is intended for IT Decision-makers or any member of an IT team who purchases or deploys a database. If you are currently using a Postgres database, or are interested in adding Postgres to your data center, this is the perfect opportunity to learn more about EnterpriseDB’s Postgres Enterprise Manager.
For more details on Postgres Enterprise Manager please email sales@enterprisedb.com.
Best Practices for a Complete Postgres Enterprise Architecture SetupEDB
This presentation provides the details of a best-practice reference architecture for deploying Postgres into your enterprise for large scale OLTP solutions. It reviews how to put all the key pieces together to build a robust, reliable and cost-effective Postgres infrastructure, providing recommendations for configuration and deployment guidance.
This presentation reviews:
* Standard requirements for robust and reliable OTLP architecture
* How to use open source based Postgres Plus building blocks to meet those requirements
* High availability system design with streaming replication
* Backup with logical and physical backup recommendations and setup for point-in-time recovery
* Replication – single master and multi-master considerations
* Database infrastructure monitoring with alerts
* Managing and tuning your Postgres database configuration
To listen to the recording visit www.enterprisedb.com - Resources - Webcasts - On Demand webcasts
Email sales@enterprisedb.com with your questions about Postgres.
EDB Failover Manager is EnterpriseDB’s newest product that helps you setup reliable and highly available Postgres configurations. Based on technology that has been hardened over the last couple of years, Failover Manager is the missing piece of the high availability solution that you have been asking for.
This presentation will give you the details on this rock-solid product -- what is it, how to use it, and the benefits of this lightweight, non single-point-of-failure product.
This presentation reviews:
• What is EDB Failover Manager
• How to minimize downtime
• Key features such as: Cluster health monitoring, node/database failure detection, automatic failover mechanisms and user customizable options.
This presentation is intended for organizations seeking a solution for High Availability with their Postgres database.
For a live demo or presentation please contact sales@enterprisedb.com.
The MySQL sys schema was integrated fully into MySQL Server from version 5.7.7. Whether you are a DBA trying to determine where the resources are being used on your database instance and by whom, or a developer trying to figure out why your MySQL statements are running too slowly, the MySQL sys schema can help. Join this session to learn how to better use the MySQL sys schema to answer your day-to-day questions—from the original developer of the MySQL sys schema.
The highlights of this presentation featuring Postgres Enterprise Manager 4.0 include:
• Perfecting your Performance with advanced features such as performance home pages, SQL Profiler, Index Advisor, Postgres Expert, and Tuning Wizard.
• Capacity Planning and Forecasting by automating the collection of your key performance statistics, customizing metrics and reports to analyze historical trend analysis.
• How to Script Less and Monitor More with a really cool graphical interface that provides a fast and consistent method of working with database probes, alerts and various task managers simultaneously.
• Setting up your Customizable Dashboards that consolidate and display all your data with at-a-glance visualization tools in both a platform specific client or a web client.
Please visit http://www.Enterprisedb.com/pem for more information.
The MySQL sys schema was integrated fully into MySQL Server from version 5.7.7. Whether you are a DBA trying to determine where the resources are being used on your database instance and by whom, or a developer trying to figure out why your MySQL statements are running too slowly, the MySQL sys schema can help. Join this session to learn how to better use the MySQL sys schema to answer your day-to-day questions—from the original developer of the MySQL sys schema. The MySQL sys schema was integrated fully into MySQL Server from version 5.7.7. Whether you are a DBA trying to determine where the resources are being used on your database instance and by whom, or a developer trying to figure out why your MySQL statements are running too slowly, the MySQL sys schema can help. Join this session to learn how to better use the MySQL sys schema to answer your day-to-day questions—from the original developer of the MySQL sys schema.
The highlights of this presentation featuring Postgres Enterprise Manager 4.0 include:
• Perfecting your Performance with advanced features such as performance home pages, SQL Profiler, Index Advisor, Postgres Expert, and Tuning Wizard.
• Capacity Planning and Forecasting by automating the collection of your key performance statistics, customizing metrics and reports to analyze historical trend analysis.
• How to Script Less and Monitor More with a really cool graphical interface that provides a fast and consistent method of working with database probes, alerts and various task managers simultaneously.
• Setting up your Customizable Dashboards that consolidate and display all your data with at-a-glance visualization tools in both a platform specific client or a web client.
Please visit http://www.Enterprisedb.com/pem for more information.
The MySQL sys schema was integrated fully into MySQL Server from version 5.7.7. Whether you are a DBA trying to determine where the resources are being used on your database instance and by whom, or a developer trying to figure out why your MySQL statements are running too slowly, the MySQL sys schema can help. Join this session to learn how to better use the MySQL sys schema to answer your day-to-day questions—from the original developer of the MySQL sys schema. The MySQL sys schema was integrated fully into MySQL Server from version 5.7.7. Whether you are a DBA trying to determine where the resources are being used on your database instance and by whom, or a developer trying to figure out why your MySQL statements are running too slowly, the MySQL sys schema can help. Join this session to learn how to better use the MySQL sys schema to answer your day-to-day questions—from the original developer of the MySQL sys schema.
Artículo publicado en La Vanguardia el 29 de noviembre de 2015 en el que se expone el cambio de paradigma de la retribución de la innovación como consecuencia del Acuerdo Interprofesional
de Catalunya 2015-2017 y la nueva Ley de Patentes.
When customers think about moving to the cloud, one of their first considerations is cost. AWS helps lower customer costs through its “pay only for what you use” pricing model. In this session, we explain our TCO analysis methodology and explore the financial considerations of owning and operating a traditional data center or managed hosting provider compared with using AWS services. Customers also share their processes for developing the right cost savings and optimization model.
MySql's NoSQL -- best of both worlds on the same disksDave Stokes
Get the best of both worlds -- SQL access and NoSQL access to the same data using the Memcached protocol. 9x faster than regular SQL, the Memcached protocol use allows applications to drink from the fire hose. Plus now your cache can be stored permanently. Easy and simple to implement.
OOW15 - Getting Optimal Performance from Oracle E-Business Suitevasuballa
This packed Oracle development session summarizes practical tips and lessons learned from performance tuning and benchmarking the world’s largest Oracle E-Business Suite environments. Application system administrators will get concrete tips and techniques for identifying and resolving performance bottlenecks on all layers of the technology stack. They will also learn how Oracle’s engineered systems, such as Oracle Exadata and Oracle Exalogic, can dramatically improve the performance of their system.
Overview of the performance monitoring tools in MySQL: Performance counters, performance schema, SYS schema. Analyzing MySQL performance with performance_schema.
MySQL Day Paris 2018 - MySQL InnoDB Cluster; A complete High Availability sol...Olivier DASINI
MySQL InnoDB Cluster delivers an integrated, native, HA solution for your databases. MySQL InnoDB Cluster consists of:
MySQL Servers with Group Replication to replicate data to all members of the cluster while providing fault tolerance, automated failover, and elasticity.
MySQL Router to ensure client requests are load balanced and routed to the correct servers in case of any database failures.
MySQL Shell to create and administer InnoDB Clusters using the built-in AdminAPI.
This presentation was prepared for a Webcast where John Yerhot, Engine Yard US Support Lead, and Chris Kelly, Technical Evangelist at New Relic discussed how you can scale and improve the performance of your Ruby web apps. They shared detailed guidance on issues like:
Caching strategies
Slow database queries
Background processing
Profiling Ruby applications
Picking the right Ruby web server
Sharding data
Attendees will learn how to:
Gain visibility on site performance
Improve scalability and uptime
Find and fix key bottlenecks
See the on-demand replay:
http://pages.engineyard.com/6TipsforImprovingRubyApplicationPerformance.html
Techniques to optimize the pagerank algorithm usually fall in two categories. One is to try reducing the work per iteration, and the other is to try reducing the number of iterations. These goals are often at odds with one another. Skipping computation on vertices which have already converged has the potential to save iteration time. Skipping in-identical vertices, with the same in-links, helps reduce duplicate computations and thus could help reduce iteration time. Road networks often have chains which can be short-circuited before pagerank computation to improve performance. Final ranks of chain nodes can be easily calculated. This could reduce both the iteration time, and the number of iterations. If a graph has no dangling nodes, pagerank of each strongly connected component can be computed in topological order. This could help reduce the iteration time, no. of iterations, and also enable multi-iteration concurrency in pagerank computation. The combination of all of the above methods is the STICD algorithm. [sticd] For dynamic graphs, unchanged components whose ranks are unaffected can be skipped altogether.
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Empowering the Data Analytics Ecosystem: A Laser Focus on Value
The data analytics ecosystem thrives when every component functions at its peak, unlocking the true potential of data. Here's a laser focus on key areas for an empowered ecosystem:
1. Democratize Access, Not Data:
Granular Access Controls: Provide users with self-service tools tailored to their specific needs, preventing data overload and misuse.
Data Catalogs: Implement robust data catalogs for easy discovery and understanding of available data sources.
2. Foster Collaboration with Clear Roles:
Data Mesh Architecture: Break down data silos by creating a distributed data ownership model with clear ownership and responsibilities.
Collaborative Workspaces: Utilize interactive platforms where data scientists, analysts, and domain experts can work seamlessly together.
3. Leverage Advanced Analytics Strategically:
AI-powered Automation: Automate repetitive tasks like data cleaning and feature engineering, freeing up data talent for higher-level analysis.
Right-Tool Selection: Strategically choose the most effective advanced analytics techniques (e.g., AI, ML) based on specific business problems.
4. Prioritize Data Quality with Automation:
Automated Data Validation: Implement automated data quality checks to identify and rectify errors at the source, minimizing downstream issues.
Data Lineage Tracking: Track the flow of data throughout the ecosystem, ensuring transparency and facilitating root cause analysis for errors.
5. Cultivate a Data-Driven Mindset:
Metrics-Driven Performance Management: Align KPIs and performance metrics with data-driven insights to ensure actionable decision making.
Data Storytelling Workshops: Equip stakeholders with the skills to translate complex data findings into compelling narratives that drive action.
Benefits of a Precise Ecosystem:
Sharpened Focus: Precise access and clear roles ensure everyone works with the most relevant data, maximizing efficiency.
Actionable Insights: Strategic analytics and automated quality checks lead to more reliable and actionable data insights.
Continuous Improvement: Data-driven performance management fosters a culture of learning and continuous improvement.
Sustainable Growth: Empowered by data, organizations can make informed decisions to drive sustainable growth and innovation.
By focusing on these precise actions, organizations can create an empowered data analytics ecosystem that delivers real value by driving data-driven decisions and maximizing the return on their data investment.
Opendatabay - Open Data Marketplace.pptxOpendatabay
Opendatabay.com unlocks the power of data for everyone. Open Data Marketplace fosters a collaborative hub for data enthusiasts to explore, share, and contribute to a vast collection of datasets.
First ever open hub for data enthusiasts to collaborate and innovate. A platform to explore, share, and contribute to a vast collection of datasets. Through robust quality control and innovative technologies like blockchain verification, opendatabay ensures the authenticity and reliability of datasets, empowering users to make data-driven decisions with confidence. Leverage cutting-edge AI technologies to enhance the data exploration, analysis, and discovery experience.
From intelligent search and recommendations to automated data productisation and quotation, Opendatabay AI-driven features streamline the data workflow. Finding the data you need shouldn't be a complex. Opendatabay simplifies the data acquisition process with an intuitive interface and robust search tools. Effortlessly explore, discover, and access the data you need, allowing you to focus on extracting valuable insights. Opendatabay breaks new ground with a dedicated, AI-generated, synthetic datasets.
Leverage these privacy-preserving datasets for training and testing AI models without compromising sensitive information. Opendatabay prioritizes transparency by providing detailed metadata, provenance information, and usage guidelines for each dataset, ensuring users have a comprehensive understanding of the data they're working with. By leveraging a powerful combination of distributed ledger technology and rigorous third-party audits Opendatabay ensures the authenticity and reliability of every dataset. Security is at the core of Opendatabay. Marketplace implements stringent security measures, including encryption, access controls, and regular vulnerability assessments, to safeguard your data and protect your privacy.
Explore our comprehensive data analysis project presentation on predicting product ad campaign performance. Learn how data-driven insights can optimize your marketing strategies and enhance campaign effectiveness. Perfect for professionals and students looking to understand the power of data analysis in advertising. for more details visit: https://bostoninstituteofanalytics.org/data-science-and-artificial-intelligence/