Maximizing performance via tuning and optimization involves:
- Defining service level agreements and translating them to database transactions.
- Capturing metrics on business, application, and database transactions to identify bottlenecks.
- Tuning from the start and periodically reviewing production systems for changes.
- Optimizing server, storage, network and OS settings as well as MariaDB configuration settings like buffer pool size, query cache size, and connection settings.
- Analyzing slow queries, indexing appropriately, and monitoring tools like Performance Schema.
- Designing databases and choosing optimal data types.
Dyn delivers exceptional Internet Performance. Enabling high quality services requires data centers around the globe. In order to manage services, customers need timely insight collected from all over the world. Dyn uses DataStax Enterprise (DSE) to deploy complex clusters across multiple datacenters to enable sub 50 ms query responses for hundreds of billions of data points. From granular DNS traffic data, to aggregated counts for a variety of report dimensions, DSE at Dyn has been up since 2013 and has shined through upgrades, data center migrations, DDoS attacks and hardware failures. In this webinar, Principal Engineers Tim Chadwick and Rick Bross cover the requirements which led them to choose DSE as their go-to Big Data solution, the path which led to SPARK, and the lessons that we’ve learned in the process.
Cassandra Community Webinar: MySQL to Cassandra - What I Wish I'd KnownDataStax
A brief intro to how Barracuda Networks uses Cassandra and the ways in which they are replacing their MySQL infrastructure, with Cassandra. This presentation will include the lessons they've learned along the way during this migration.
Speaker: Michael Kjellman, Software Engineer at Barracuda Networks
Michael Kjellman is a Software Engineer, from San Francisco, working at Barracuda Networks. Michael works across multiple products, technologies, and languages. He primarily works on Barracuda's spam infrastructure and web filter classification data.
Dyn delivers exceptional Internet Performance. Enabling high quality services requires data centers around the globe. In order to manage services, customers need timely insight collected from all over the world. Dyn uses DataStax Enterprise (DSE) to deploy complex clusters across multiple datacenters to enable sub 50 ms query responses for hundreds of billions of data points. From granular DNS traffic data, to aggregated counts for a variety of report dimensions, DSE at Dyn has been up since 2013 and has shined through upgrades, data center migrations, DDoS attacks and hardware failures. In this webinar, Principal Engineers Tim Chadwick and Rick Bross cover the requirements which led them to choose DSE as their go-to Big Data solution, the path which led to SPARK, and the lessons that we’ve learned in the process.
Cassandra Community Webinar: MySQL to Cassandra - What I Wish I'd KnownDataStax
A brief intro to how Barracuda Networks uses Cassandra and the ways in which they are replacing their MySQL infrastructure, with Cassandra. This presentation will include the lessons they've learned along the way during this migration.
Speaker: Michael Kjellman, Software Engineer at Barracuda Networks
Michael Kjellman is a Software Engineer, from San Francisco, working at Barracuda Networks. Michael works across multiple products, technologies, and languages. He primarily works on Barracuda's spam infrastructure and web filter classification data.
Leveraging ApsaraDB to Deploy Business Data on the CloudOliver Theobald
This presentation walks you through the journey of launching your company's database on the cloud, and how to use ApsaraDB to reduce the cost of ownership. The presentation will provide an in-depth discussion of technical principles regarding the usage of cloud database technology.
From this webinar, you will also learn:
- How to implement cross-room disaster recovery deployment and ensure data consistency
- How to guarantee cloud data security
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
Don't Let Your Shoppers Drop; 5 Rules for Today’s eCommerceDataStax
The definition of eCommerce has totally changed, expanding from a purely retail perspective to mean "the place where your customers meet you online." Whether you offer mortgage services or catering recommendations, you must think of your online transaction application as an eCommerce site.
Making Every Drop Count: How i20 Addresses the Water Crisis with the IoT and ...DataStax
Depleting water supplies coupled with increasing global demand is an environmental challenge with lasting impact on societies across the world. Join this webinar to learn how i2O Water, a pioneer in smart water management technologies, is leading the charge against a global crisis with an Internet of Things (IOT) solution built on Apache Cassandra™
Don’t Get Caught in a PCI Pickle: Meet Compliance and Protect Payment Card Da...DataStax
Data security is an absolute requirement for any organization – large or small – that handles debit, credit and pre-paid cards. But navigating, understanding and complying with PCI-DSS (Payment Card Industry – Data Security Standards) regulations can be tough. In this webinar, we’ll examine the guidelines for securing payment card data and show you how a combined solution from DataStax and Gazzang can put you on course for compliance.
Cassandra Community Webinar: From Mongo to Cassandra, Architectural LessonsDataStax
We'll be covering some aspects of our architecture, highlighting differences between MongoDB and Cassandra. We'll go in depth to explain why Cassandra is a better choice for our general purpose Application Platform (SHIFT) as well as our Media Buying Analytics tool (the SHIFT Media Manager). We'll be going over common design patterns people might be familiar with coming from a background with MongoDB and highlight how Cassandra would be used as a better alternative. We'll also touch more on cqlengine which is nearing feature completeness as the Cassandra object mapper for Python.
AWS Big Data Demystified #1: Big data architecture lessons learned Omid Vahdaty
AWS Big Data Demystified #1: Big data architecture lessons learned . a quick overview of a big data techonoligies, which were selected and disregard in our company
The video: https://youtu.be/l5KmaZNQxaU
dont forget to subcribe to the youtube channel
The website: https://amazon-aws-big-data-demystified.ninja/
The meetup : https://www.meetup.com/AWS-Big-Data-Demystified/
The facebook group : https://www.facebook.com/Amazon-AWS-Big-Data-Demystified-1832900280345700/
Shift: Real World Migration from MongoDB to CassandraDataStax
Presentation on SHIFT's migration from MongoDB to Cassandra. Topics will include reasons behind choosing to move to Cassandra, zero downtime migration strategy, data modeling patterns, and the benefits of using CQL3.
Webinar: Buckle Up: The Future of the Distributed Database is Here - DataStax...DataStax
We recently launched DataStax Enterprise 4.5 - the fastest, most scalable distributed database technology with blazing performance, 100x faster analytics and automated diagnostics.
Join DataStax’s product gurus Martin Van Ryswyk, EVP of Engineering, and Robin Schumacher, VP of Products, in an open dialog as they discuss the importance of -
- Selecting the right database technology for today’s digital world
- Integrated analytics for lightning fast customer interactions
- Merging operational and historical data for the most accurate insights, possible
DataStax Training – Everything you need to become a Cassandra RockstarDataStax
Looking to strengthen your expertise of Cassandra and DataStax Enterprise? This DataStax Training Webinar provides an overview of what you need to get the most out of Cassandra and your DataStax Enterprise environment. Whether you’re a developer or administrator, novice or a Cassandra expert, there is a class that will meet your experience level and needs.
Transforms Document Management at Scale with Distributed Database Solution wi...DataStax Academy
SpringCM will discuss how they achieve massive scalability and blazing performance with DataStax Enterprise and HP Moonshot Solutions; to transform enterprise document management forever. They will dive into: how they broke through their capacity to run millions of workloads per hour, why relational database technologies simply cannot handle the scalability demands of document management SaaS, and how they deliver up to 70% more energy savings than traditional rack server architecture.
Leveraging ApsaraDB to Deploy Business Data on the CloudOliver Theobald
This presentation walks you through the journey of launching your company's database on the cloud, and how to use ApsaraDB to reduce the cost of ownership. The presentation will provide an in-depth discussion of technical principles regarding the usage of cloud database technology.
From this webinar, you will also learn:
- How to implement cross-room disaster recovery deployment and ensure data consistency
- How to guarantee cloud data security
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
Don't Let Your Shoppers Drop; 5 Rules for Today’s eCommerceDataStax
The definition of eCommerce has totally changed, expanding from a purely retail perspective to mean "the place where your customers meet you online." Whether you offer mortgage services or catering recommendations, you must think of your online transaction application as an eCommerce site.
Making Every Drop Count: How i20 Addresses the Water Crisis with the IoT and ...DataStax
Depleting water supplies coupled with increasing global demand is an environmental challenge with lasting impact on societies across the world. Join this webinar to learn how i2O Water, a pioneer in smart water management technologies, is leading the charge against a global crisis with an Internet of Things (IOT) solution built on Apache Cassandra™
Don’t Get Caught in a PCI Pickle: Meet Compliance and Protect Payment Card Da...DataStax
Data security is an absolute requirement for any organization – large or small – that handles debit, credit and pre-paid cards. But navigating, understanding and complying with PCI-DSS (Payment Card Industry – Data Security Standards) regulations can be tough. In this webinar, we’ll examine the guidelines for securing payment card data and show you how a combined solution from DataStax and Gazzang can put you on course for compliance.
Cassandra Community Webinar: From Mongo to Cassandra, Architectural LessonsDataStax
We'll be covering some aspects of our architecture, highlighting differences between MongoDB and Cassandra. We'll go in depth to explain why Cassandra is a better choice for our general purpose Application Platform (SHIFT) as well as our Media Buying Analytics tool (the SHIFT Media Manager). We'll be going over common design patterns people might be familiar with coming from a background with MongoDB and highlight how Cassandra would be used as a better alternative. We'll also touch more on cqlengine which is nearing feature completeness as the Cassandra object mapper for Python.
AWS Big Data Demystified #1: Big data architecture lessons learned Omid Vahdaty
AWS Big Data Demystified #1: Big data architecture lessons learned . a quick overview of a big data techonoligies, which were selected and disregard in our company
The video: https://youtu.be/l5KmaZNQxaU
dont forget to subcribe to the youtube channel
The website: https://amazon-aws-big-data-demystified.ninja/
The meetup : https://www.meetup.com/AWS-Big-Data-Demystified/
The facebook group : https://www.facebook.com/Amazon-AWS-Big-Data-Demystified-1832900280345700/
Shift: Real World Migration from MongoDB to CassandraDataStax
Presentation on SHIFT's migration from MongoDB to Cassandra. Topics will include reasons behind choosing to move to Cassandra, zero downtime migration strategy, data modeling patterns, and the benefits of using CQL3.
Webinar: Buckle Up: The Future of the Distributed Database is Here - DataStax...DataStax
We recently launched DataStax Enterprise 4.5 - the fastest, most scalable distributed database technology with blazing performance, 100x faster analytics and automated diagnostics.
Join DataStax’s product gurus Martin Van Ryswyk, EVP of Engineering, and Robin Schumacher, VP of Products, in an open dialog as they discuss the importance of -
- Selecting the right database technology for today’s digital world
- Integrated analytics for lightning fast customer interactions
- Merging operational and historical data for the most accurate insights, possible
DataStax Training – Everything you need to become a Cassandra RockstarDataStax
Looking to strengthen your expertise of Cassandra and DataStax Enterprise? This DataStax Training Webinar provides an overview of what you need to get the most out of Cassandra and your DataStax Enterprise environment. Whether you’re a developer or administrator, novice or a Cassandra expert, there is a class that will meet your experience level and needs.
Transforms Document Management at Scale with Distributed Database Solution wi...DataStax Academy
SpringCM will discuss how they achieve massive scalability and blazing performance with DataStax Enterprise and HP Moonshot Solutions; to transform enterprise document management forever. They will dive into: how they broke through their capacity to run millions of workloads per hour, why relational database technologies simply cannot handle the scalability demands of document management SaaS, and how they deliver up to 70% more energy savings than traditional rack server architecture.
Deep Dive on MySQL Databases on AWS - AWS Online Tech TalksAmazon Web Services
Learning Objectives:
- Learn about MySQL deployment options on AWS
- Learn how to maintain high availability and security of your data
- Learn how to migrate MySQL databases to Amazon RDS
Getting Started with Managed Database Services on AWS - September 2016 Webina...Amazon Web Services
On AWS you can choose from a variety of managed database services that save effort, save time, and unlock new capabilities and economies. In this session, we make it easy to understand how they differ, what they have in common, and how to choose one or more. We'll explain the fundamentals of Amazon RDS, a managed relational database service in the cloud; Amazon DynamoDB, a fully managed NoSQL database service; Amazon ElastiCache, a fast, in-memory caching service in the cloud; and Amazon Redshift, a fully managed, petabyte-scale data-warehouse solution that can be surprisingly economical. We will cover how each service might help support your application, how much each service costs, and how to get started.
Learning Objectives:
• Overview of managed database services available on AWS
• How to combine them for high-performance cost effective architectures
• Learn how to choose between the AWS database services based on the use case
Who Should Attend:
• IT Managers, DBAs, Enterprise and Solution Architects, IT Managers, DBAs, Enterprise and Solution Architects, Devops Engineers and Developers
Selecting the Right AWS Database Solution - AWS 2017 Online Tech TalksAmazon Web Services
• Get an overview of managed database services available on AWS
• Learn how to combine them for high-performance cost effective architectures
• Learn how to choose between the AWS database services based on your use case
On AWS you can choose from a variety of managed database services that save effort, save time, and unlock new capabilities and economies. In this session, we make it easy to understand how they differ, what they have in common, and how to choose one or more. We'll explain the fundamentals of Amazon RDS, a managed relational database service in the cloud; Amazon DynamoDB, a fully managed NoSQL database service; Amazon ElastiCache, a fast, in-memory caching service in the cloud; and Amazon Redshift, a fully managed, petabyte-scale data-warehouse solution that can be economical. We will cover how each service might help support your application and how to get started.
Maximizing performance via tuning and optimizationMariaDB plc
Ensuring that your end users get the performance they expect from your system requires an organized approach to performance management. This session will cover the planning and measurement necessary to ensure satisfied customers, and will also include tips and tricks learned from MariaDB’s years of supporting many of the most demanding installations in the world.
Deploying any software can be a challenge if you don't understand how resources are used or how to plan for the capacity of your systems. Whether you need to deploy or grow a single MongoDB instance, replica set, or tens of sharded clusters then you probably share the same challenges in trying to size that deployment.
This webinar will cover what resources MongoDB uses, and how to plan for their use in your deployment. Topics covered will include understanding how to model and plan capacity needs for new and growing deployments. The goal of this webinar will be to provide you with the tools needed to be successful in managing your MongoDB capacity planning tasks.
Webinar slides: Our Guide to MySQL & MariaDB Performance TuningSeveralnines
If you’re asking yourself the following questions when it comes to optimally running your MySQL or MariaDB databases:
- How do I tune them to make best use of the hardware?
- How do I optimize the Operating System?
- How do I best configure MySQL or MariaDB for a specific database workload?
Then this replay is for you!
We discuss some of the settings that are most often tweaked and which can bring you significant improvement in the performance of your MySQL or MariaDB database. We also cover some of the variables which are frequently modified even though they should not.
Performance tuning is not easy, especially if you’re not an experienced DBA, but you can go a surprisingly long way with a few basic guidelines.
This webinar builds upon blog posts by Krzysztof from the ‘Become a MySQL DBA’ series.
AGENDA
- What to tune and why?
- Tuning process
- Operating system tuning
- Memory
- I/O performance
- MySQL configuration tuning
- Memory
- I/O performance
- Useful tools
- Do’s and do not’s of MySQL tuning
- Changes in MySQL 8.0
SPEAKER
Krzysztof Książek, Senior Support Engineer at Severalnines, is a MySQL DBA with experience managing complex database environments for companies like Zendesk, Chegg, Pinterest and Flipboard.
by John McGrath, Startup Solutions Architect, AWS
Database Week at the AWS Loft is an opportunity to learn about Amazon’s broad and deep family of managed database services. These services provide easy, scalable, reliable, and cost-effective ways to manage your data in the cloud. We explain the fundamentals and take a technical deep dive into Amazon RDS and Amazon Aurora relational databases, Amazon DynamoDB non-relational databases, Amazon Neptune graph databases, and Amazon ElastiCache managed Redis, along with options for database migration, caching, search and more. You'll will learn how to get started, how to support applications, and how to scale.
How to Set Up ApsaraDB for RDS on Alibaba CloudAlibaba Cloud
See Webinar Recording at https://resource.alibabacloud.com/webinar/detail.htm?webinarId=26
Gain an introduction to ApsaraDB for RDS, a cloud-based relational database product provided by Alibaba Cloud. In this webinar you will watch over the shoulder of a Solution Architect and Trainer, as he covers the basic concepts and features of ApsaraDB for RDS including:
- HA feature (Master/Slave Architecture, Backup/Recovery, Temporary Instance),
- Scalability features (Read-only Instance), and also,
- Security and Monitoring features.
This webinar is ideally suited for database engineers and beginners to the Alibaba Cloud product suite.
ApsaraDB for RDS: www.alibabacloud.com/product/apsaradb-for-rds
AWS March 2016 Webinar Series - Managed Database Services on Amazon Web ServicesAmazon Web Services
AWS customers can choose among a variety of managed database services in addition to running databases in Amazon EC2 on their own. Managed database services remove the burden of implementing, managing and maintaining the database and let you focus on your applications.
In this webinar, we will help you understand the differences and common areas of these managed database, and how to choose one or more. We will explain the fundamentals of Amazon RDS, a relational database service in the cloud; Amazon DynamoDB, a fully managed NoSQL database service; Amazon ElastiCache, a fast, in-memory caching service in the cloud; and Amazon Redshift, a fully managed, petabyte-scale data-warehouse solution. We will also cover how each service can help support your application, how much each service costs, and how to get started.
Learning Objectives:
• Understand the Managed Database Service options available on AWS
• Learn how to choose among the Managed Database Services on AWS for your use cases
Who Should Attend:
• IT Professionals, IT Managers, DBAs, Systems Administrators and Developers
by Darin Briskman, Technical Evangelist, AWS
MySQL is an open-source relational database management system used by a very large number of web-based applications. MariaDB is a MySQL-compatible fork of MySQL, developed by the original developers of MySQL. We’ll take a look at these databases, examples of where they are best suited for use, and examples of who is using them to power their applications.
Similar to Maximizing performance via tuning and optimization (20)
SkySQL is the first and only database-as-a-service (DBaaS) to perform workload analysis with advanced deep learning models, identifying and classifying discrete workload patterns so DBAs can better understand database workloads, identify anomalies and predict changes.
In this session, we’ll explain the concepts behind workload analysis and show how it can be used in the real world (and with sample real-world data) to improve database performance and efficiency by identifying key metrics and changes to cyclical patterns.
SkySQL uses best-of-breed software, and when it comes to metrics and monitoring that means Prometheus and Grafana. SkySQL Monitor is built on both, and provides customers with interactive dashboards for both real-time and historic metrics monitoring. In addition, it meets the same high availability and security requirements as other SkySQL components, ensuring metrics are always available and always secure.
In this session, we’ll explain how SkySQL Monitor works, walk through its dashboards and show how to monitor key metrics for performance and replication.
Introducing the R2DBC async Java connectorMariaDB plc
Not too long ago, a reactive variant of the JDBC driver was released, known as Reactive Relational Database Connectivity (R2DBC for short). While R2DBC started as an experiment to enable integration of SQL databases into systems that use reactive programming models, it now specifies a full-fledged service-provider interface that can be used to retrieve data from a target data source.
In this session, we’ll take a look at the new MariaDB R2DBC connector and examine the advantages of fully reactive, non-blocking development with MariaDB. And, of course, we’ll dive in and get a first-hand look at what it’s like to use the new connector with some live coding!
The capabilities and features of MariaDB Platform continue to expand, resulting in larger and more sophisticated production deployments – and the need for better tools. To provide DBAs with comprehensive, consolidating tooling, we created MariaDB Enterprise Tools: an easy-to-use, modular command-line interface for interacting with any part of MariaDB Platform.
In this session, we will provide a preview of the MariaDB Enterprise Client, walk through current and planned modules and discuss future plans for MariaDB Enterprise Tools – including SkySQL modules and the ability to create custom modules.
Faster, better, stronger: The new InnoDBMariaDB plc
For MariaDB Enterprise Server 10.5, the default transactional storage engine, InnoDB, has been significantly rewritten to improve the performance of writes and backups. Next, we removed a number of parameters to reduce unnecessary complexity, not only in terms of configuration but of the code itself. And finally, we improved crash recovery thanks to better consistency checks and we reduced memory consumption and file I/O thanks to an all new log record format.
In this session, we’ll walk through all of the improvements to InnoDB, and dive deep into the implementation to explain how these improvements help everything from configuration and performance to reliability and recovery.
SkySQL implements a groundbreaking, state-of-the-art architecture based on Kubernetes and ServiceNow, and with a strong emphasis on cloud security – using compartmentalization and indirect access to secure and protect customer databases.
In this session, we’ll walk through the architecture of SkySQL and discuss how MariaDB leverages an advanced Kubernetes operator and powerful ServiceNow configuration/workflow management to deploy and manage databases on cloud infrastructure.
StarCompliance is a leading firm specializing in the recovery of stolen cryptocurrency. Our comprehensive services are designed to assist individuals and organizations in navigating the complex process of fraud reporting, investigation, and fund recovery. We combine cutting-edge technology with expert legal support to provide a robust solution for victims of crypto theft.
Our Services Include:
Reporting to Tracking Authorities:
We immediately notify all relevant centralized exchanges (CEX), decentralized exchanges (DEX), and wallet providers about the stolen cryptocurrency. This ensures that the stolen assets are flagged as scam transactions, making it impossible for the thief to use them.
Assistance with Filing Police Reports:
We guide you through the process of filing a valid police report. Our support team provides detailed instructions on which police department to contact and helps you complete the necessary paperwork within the critical 72-hour window.
Launching the Refund Process:
Our team of experienced lawyers can initiate lawsuits on your behalf and represent you in various jurisdictions around the world. They work diligently to recover your stolen funds and ensure that justice is served.
At StarCompliance, we understand the urgency and stress involved in dealing with cryptocurrency theft. Our dedicated team works quickly and efficiently to provide you with the support and expertise needed to recover your assets. Trust us to be your partner in navigating the complexities of the crypto world and safeguarding your investments.
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.
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/
Chatty Kathy - UNC Bootcamp Final Project Presentation - Final Version - 5.23...John Andrews
SlideShare Description for "Chatty Kathy - UNC Bootcamp Final Project Presentation"
Title: Chatty Kathy: Enhancing Physical Activity Among Older Adults
Description:
Discover how Chatty Kathy, an innovative project developed at the UNC Bootcamp, aims to tackle the challenge of low physical activity among older adults. Our AI-driven solution uses peer interaction to boost and sustain exercise levels, significantly improving health outcomes. This presentation covers our problem statement, the rationale behind Chatty Kathy, synthetic data and persona creation, model performance metrics, a visual demonstration of the project, and potential future developments. Join us for an insightful Q&A session to explore the potential of this groundbreaking project.
Project Team: Jay Requarth, Jana Avery, John Andrews, Dr. Dick Davis II, Nee Buntoum, Nam Yeongjin & Mat Nicholas
As Europe's leading economic powerhouse and the fourth-largest hashtag#economy globally, Germany stands at the forefront of innovation and industrial might. Renowned for its precision engineering and high-tech sectors, Germany's economic structure is heavily supported by a robust service industry, accounting for approximately 68% of its GDP. This economic clout and strategic geopolitical stance position Germany as a focal point in the global cyber threat landscape.
In the face of escalating global tensions, particularly those emanating from geopolitical disputes with nations like hashtag#Russia and hashtag#China, hashtag#Germany has witnessed a significant uptick in targeted cyber operations. Our analysis indicates a marked increase in hashtag#cyberattack sophistication aimed at critical infrastructure and key industrial sectors. These attacks range from ransomware campaigns to hashtag#AdvancedPersistentThreats (hashtag#APTs), threatening national security and business integrity.
🔑 Key findings include:
🔍 Increased frequency and complexity of cyber threats.
🔍 Escalation of state-sponsored and criminally motivated cyber operations.
🔍 Active dark web exchanges of malicious tools and tactics.
Our comprehensive report delves into these challenges, using a blend of open-source and proprietary data collection techniques. By monitoring activity on critical networks and analyzing attack patterns, our team provides a detailed overview of the threats facing German entities.
This report aims to equip stakeholders across public and private sectors with the knowledge to enhance their defensive strategies, reduce exposure to cyber risks, and reinforce Germany's resilience against cyber threats.
Levelwise PageRank with Loop-Based Dead End Handling Strategy : SHORT REPORT ...Subhajit Sahu
Abstract — Levelwise PageRank is an alternative method of PageRank computation which decomposes the input graph into a directed acyclic block-graph of strongly connected components, and processes them in topological order, one level at a time. This enables calculation for ranks in a distributed fashion without per-iteration communication, unlike the standard method where all vertices are processed in each iteration. It however comes with a precondition of the absence of dead ends in the input graph. Here, the native non-distributed performance of Levelwise PageRank was compared against Monolithic PageRank on a CPU as well as a GPU. To ensure a fair comparison, Monolithic PageRank was also performed on a graph where vertices were split by components. Results indicate that Levelwise PageRank is about as fast as Monolithic PageRank on the CPU, but quite a bit slower on the GPU. Slowdown on the GPU is likely caused by a large submission of small workloads, and expected to be non-issue when the computation is performed on massive graphs.
4. • Service Level Agreements (SLAs)
– Individual Biz/App Transactions
– Throughput
– Latency (at percentile)
– Peaks of peaks or favorable scheduling?
• Translate to Database Transactions
Define Target
6. Tuning Routine - When to Tune
• Tune from Start of the Application Lifecycle
– Start Early to Ensure Schema is Well Constructed
– Test Queries on Real Data — Watch for Bottlenecks
– Over Tuning without Production Data or Traffic isn’t productive
• Conduct Periodic Reviews of Production Systems
– Watch for Schema, Query and Significant Changes
– Check Carefully New Application Features
– Monitor System Resources — Disk, Memory, Network, CPU
7. Tuning Routine - When Not to Tune
• Identify Objectives in Advance
– Adhere to Objectives
• Be Aware of Data Integrity
– Where is Speed Most Important?
– Where is Integrity Most Important?
– Adhere to these Boundaries
11. • Dedicated Server
• Memory
– More usually helps (up to ~dataset size)
– Important with read-heavy + slow disk
• More CPUs
– Highly concurrent use cases
– Usually favored over faster CPUs
• Faster CPUs
– Less concurrent use cases
– Dataset fits in memory
Database Server
12. • Local or SAN over NAS
– Performance
• SSD over HHD
– Performance and MTBF
– SSD wear not usually a factor
• SSDs
– Consumer
– Prosumer
– PCIe
– NVMe
Storage
13. • Can be Bandwidth Hungry
– Regular client traffic
– Replication Traffic
– Rebuilding replicas from snapshots
• Stability matters for Replication
• Sometimes overlooked as potential
bottleneck
• Efficient DNS setup*
Network
14. OS Settings
Linux Settings
•Swappiness
○ Value for propensity of the OS to swap
to disk
○ Defaults are usually 60
○ Commonly set low to 10 or so (not 0)
•Noatime
○ Mount disks with this option
○ Turns off writing of access time to disk
with every file access
○ Without this option every read becomes
an additional write
20. • Runtime changes via SET GLOBAL
• Make permanent with changes to my.cnf
– Make sure you have right my.cnf
– Verify with SHOW GLOBAL
• One change at a time
• Production changes
– tested, reviewed, version controlled
Changing Config
Settings
21. Configuration Settings
innodb_buffer_pool_size
•The first setting to update
•The buffer pool is where data and indexes
are cached
• Utilize memory for read operations rather
than disk
•80% RAM rule of thumb
•Typical values are
✓ 5-6GB (8GB RAM)
✓ 20-25GB (32GB RAM)
✓ 100-120GB (128GB RAM)
22. Configuration Settings
query_cache_size
● Query cache is a well known bottleneck
● Consider setting query_cache_size = 0
● Use other ways to speed up read
queries:
○ Good indexing
○ Adding replicas to spread the read
load
23. Configuration Settings
innodb_log_file_size
● Size of the redo logs - 25 to 50% of
innodb_buffer_pool usually
recommended
● Redo logs are used to make sure writes
are fast and durable and also during
crash recovery
● Larger log files can lead to slower
recovery in the event of a server crash
● But! Larger log files also reduce the
number of checkpoints needed and
reduce disk I/O
24. Configuration Settings
innodb_file_per_table
● Each .ibd file represents a tablespace of its
own.
● Database operations such as “TRUNCATE”
can be completed faster and you may also
reclaim unused space when dropping or
truncating a database table.
● Allows some of the database tables to be
kept in separate storage device. This can
greatly improve the I/O load on your disks.
25. Configuration Settings
Disable MySQL Reverse
DNS Lookups
● MariaDB performs a DNS lookup of the
user’s IP address and Hostname with
connection
● The IP address is checked by resolving it to a
host name. The hostname is then resolved to
an IP to verify
● This allows DNS issues to cause delays
● You can disable and use IP addresses only
○ skip-name-resolve under [mysqld] in
my.cnf
26. Storage Engines
● XtraDB is the best choice in the majority of cases. It is a performance-enhanced fork of InnoDB and is the
MariaDB default engine until MariaDB 10.1.
● InnoDB is a good general transactional storage engine. It is the default MySQL storage engine, and default
MariaDB 10.2 storage engine, but in earlier releases XtraDB is a performance enhanced fork of InnoDB, and is
usually preferred.
● Aria, MariaDB's more modern improvement on MyISAM, has a small footprint and allows for easy copying
between systems.
● MyISAM has a small footprint and allows for easy copying between systems. MyISAM is MySQL's oldest storage
engine. There is usually little reason to use it except for legacy purposes. Aria is MariaDB's more modern
improvement.
● Spider uses partitioning to provide data sharding through multiple servers.
● ColumnStore utilizes a massively parallel distributed data architecture and is designed for big data scaling to
process petabytes of
● MyRocks enables greater compression than InnoDB, as well as less write amplification giving better endurance of
flash storage and improving overall throughput. (Currently Alpha in MariaDB 10.2)
28. Finding Slow
Queries slow_query_log = 1
slow_query_log-file = /var/lib/mysql/myslow.log
long_query_time = 10
Pay attention to similar queries and the
query count
29. Analyzing Slow
Queries
EXPLAIN
SELECT *
FROM employees
WHERE MONTH(birth_date) = 8 G
id: 1
select_type: SIMPLE
table: employees
type: ALL
possible_keys: NULL
key: NULL
key_len: NULL
ref: NULL
rows: 299587
Extra: Using where
30. • Poor Indexing #1 Reason for poor
performance
• Basics of B-Tree Indexing same across
relational systems
• Space/Performance Tradeoff
• Write/Read Tradeoff
Indexing
32. Query Tuning
SHOW STATUS
Global or Session
● Returns List of Internal Counters
● GLOBAL for System-Wide Status — Since Start-
Up
● SESSION for Local to Client Connection
● FLUSH STATUS Resets Local Counters
● Monitor Changes to Counters to Identify Hot
Spots
● Collect Periodically Status Snapshots to Profile
Traffic
33. Query Tuning
PERFORMANCE_SCHEMA
● Similar to INFORMATION_SCHEMA , but
Performance Tuning
● Monitors MariaDB Server Events
● Function Calls, Operating System Waits, Internal
Mutexes, I/O Calls
● Detailed Query Execution Stages (Parsing,
Statistics, Sorting)
● Some Features Storage Engine Specific
● Monitoring Lightweight and Requires No
Dedicated Thread
● Designed to be Used Iteratively with Successive
Refinement
34. Database Design
Choosing Data Types
● Use Appropriate Data Type (INT for
Numbers, VARCHAR)
● Use Smallest Useful Type
● Variable Length Fields are often Padded
● Use NOT NULL, where Practical
○ A NULL field uses slightly More
Disk and Memory (Depends on
Storage Engine)
● Use PROCEDURE ANALYSE( )
35. Monitoring and Query Tuning
Monitoring Tools
Monyog - Agentless and Cost-effective MariaDB monitoring tool
Box Anemometer - a MariaDB Slow Query Monitor. This tool is used to analyze slow query logs
collected from MariaDB instances to identify problematic queries
40. Configuration Settings
Check for MySQL idle
Connections
● Idle connections consume resources and
should be interrupted or refreshed when
possible.
● Idle connections are in “sleep” state and
usually stay that way for long period of time.
● To look for idled connections:
● # mysqladmin processlist -u root -p | grep
“Sleep”
● You can check the code for the cause if
many idled
● You can also change the wait_timeout value
41. Configuration Settings
thread_cache_size
● The thread_cache_size directive sets the amount of
threads that your server should cache.
● To find the thread cache hit rate, you can use the
following technique:
○ show status like 'Threads_created';
○ show status like 'Connections';
● calculate the thread cache hit rate percentage:
○ 100 - ((Threads_created / Connections) * 100)
● Dynamically set to a new value:
○ set global thread_cache_size = 16;
42. Configuration Settings
memory parameters
● MariaDB uses temporary tables when
processing complex queries involving joins
and sorting
● The default size of a temporary table is very
small
○ The size is configured in your my.cnf:
tmp-table-size = 1G
max-heap-table-size = 1G
● Both should have the same size and will
help prevent disk writes
● A rule of thumb is giving 64Mb for every
GB of RAM on the server
43. Configuration Settings
Buffer Sizes
● join buffer size
○ used to process joins – but only full
joins on which no keys are possible
● sort buffer size
○ Sort buffer size is used to sort data.
○ The system status variable
sort_merge_passes will indicates need
to increase
○ This variable should be as low as
possible.
● These buffers are allocated per connection
and play a significant role in the
performance of the system.
44. Configuration Settings
max_allowed_packet
● MariaDB splits data into packets. Usually a
single packet is considered a row that is sent
to a client.
● The max_allowed_packet directive defines
the maximum size of packet that can be
sent.
● Setting this value too low can cause a query
to stall and you will receive an error in your
error log.
● It is recommended to set the value to the
size of your largest packet.
○ Some suggest 11 times the largest BLOB