The document discusses Koha's use of SQL and database structure. It notes that Koha uses a SQL baseline file and update file to define its version and structure. While Koha's database contains over 125 tables and 1,773 lines of XML code when dumped, tools like phpMyAdmin, MySQL Administrator and MySQL Query Browser can be used to view and manage the database. The document also outlines some of Koha's adherence to and deviations from best practices for database design, and lists some of its core tables like systempreferences, branches, borrowers and biblio.
This document summarizes a presentation comparing PostgreSQL and MySQL databases. It outlines the strengths and weaknesses of each, including PostgreSQL's strong advanced features and security capabilities versus its lack of integrated replication. MySQL's strengths are its integrated replication and performance, while its weaknesses include immature security and an "closed" open source community. A variety of application types are described as better fits for each database. The document concludes with information about EnterpriseDB, a company that provides commercial support for PostgreSQL.
The document provides an overview of CouchDB, a NoSQL database that uses a document-oriented data model instead of traditional tables. It discusses key CouchDB concepts like documents, views, and its RESTful API. The presentation highlights CouchDB's features like replication, JavaScript views, and full-text search. It also covers how CouchDB implements the four pillars of data management - save, see, secure, and share data - in a distributed manner using its core implementation in Erlang.
This document summarizes notes from several talks and discussions about scaling Ruby on Rails applications. Some key points include:
- To scale a Rails app, focus on load balancing and separating application tiers (front-end servers, application servers, databases). Use caching, database replication, and queuing systems.
- Monitoring tools like Munin and Nagios are important for tracking performance bottlenecks. Metrics like requests per second help determine capacity.
- Scaling the database is critical; techniques include sharding, replication, and optimizing queries with indexing. Caching data in Memcached also helps scale performance.
- Virtualization allows consolidating servers. Software load balancers like Nginx can route
The document discusses advanced deployment strategies for Rails applications. It covers using background processing and search services to improve performance. It also discusses options for scaling databases, such as read slaves, master-master replication, and data partitioning. For applications with multiple clients, it recommends configuring clients differently but keeping the same codebase and database structure. When deploying to cloud infrastructure, it advises using a central directory service to dynamically configure database connections. Throughout, it emphasizes that simpler solutions are generally better than complex ones.
This document provides an overview of David Maeda's background and expertise in business intelligence technologies including SQL Server, SSIS, SSAS, SSRS, and Visual Studio. It describes some of his past projects involving data management and ETL processes. Examples are provided of using SQL queries, SSIS, and other Microsoft tools to solve data quality issues. The document establishes David Maeda's qualifications and experience working with various BI tools and technologies.
The document discusses the challenges of scaling a monolithic Rails application over time as features and data grow. It begins by describing a Rails app with over 1000 controllers running on huge MySQL boxes across multiple datacenters. As the app and team grew, testing became spotty and developers became overwhelmed. The document then discusses actual scaling problems like scaling data, codebase, customers and features. It proposes separating the app into internal gems and services to allow independent scaling of components instead of the monolithic approach that becomes difficult to change.
Make Life Suck Less (Building Scalable Systems)guest0f8e278
This presentation was given at LinkedIn. It is a collection of guidelines and wisdom for re-thinking how we do engineering for massively scalable systems. Useful for anyone who cares about Big Data, Distributed Computing, Hadoop, and more.
Presentation from the 4/27/2009 SA Ruby meeting (saruby.com)
A demonstration of a completely cloud based application. It is a picture uploading/processing application.
This document discusses how architecture emerges even when not initially planned. It begins with an overview of databases, message queues, and caching as common architectural elements that emerge over time. The document then provides examples of how simple applications and data needs can evolve into more complex architectures with multiple servers, databases, caching, and services. It emphasizes that architectures tend to grow more elaborate with each new system as ideas are carried over from previous projects.
The document provides an introduction and agenda for an HBase presentation. It begins with an overview of HBase and discusses why relational databases are not scalable for big data through examples of a growing website. It then introduces concepts of HBase including its column-oriented design and architecture. The document concludes with hands-on examples of installing HBase and performing basic operations through the HBase shell.
Choosing the right software architecture for your project is very important. Besides the framework decision there are many other key issues you need to take into account and which have an impact on such things like maintainability, scalability and also the frequency of possible deployments. In this session you will to learn how to avoid the common pitfalls and traps during your project.
App301 Implement a Data Access Layer with Ent Libmcgurk
This document summarizes Brian Noyes' presentation on implementing a data access layer using the Enterprise Library Data Access Application Block (DAAB). It discusses data access strategies and object types, as well as an overview of the Enterprise Library and DAAB. It also covers integrating DAAB into an application and how to use it, including creating database objects, commands, parameters and executing queries. Design considerations for a data access layer are also provided.
MongoDB - Ruby document store that doesn't rhyme with ouchWynn Netherland
MongoDB is a document-oriented database that stores data in JSON-like documents rather than tables. It is a good fit for applications that work with unstructured or semi-structured data like content management systems and web applications. MongoDB can be accessed from Ruby applications using drivers like mongo-ruby-driver or libraries like MongoMapper that provide an ActiveRecord-like interface.
DBSophic is a company founded in 2007 that specializes in database performance optimization. It employs 10 people with expertise in SQL Server, Oracle, and .NET development. The company created a performance tuning tool called Qure that collects database metadata, analyzes SQL queries from a trace file, scans data, and generates recommendations for schema changes, indexes, query rewrites, and more. It then benchmarks the database before and after applying recommendations to validate performance improvements.
MongoDB is a document database that provides a more flexible schema than relational databases. It allows embedding related data and easier updates than relational databases with object-relational mapping. MongoDB scales horizontally through sharding and provides high availability through replica sets. It supports different consistency models including eventual and strong consistency through write concerns and read preferences.
This document discusses designing a scalable web architecture for an e-commerce site. It recommends:
1) Using a service-based architecture with microservices for components like the UI, queue, analytics algorithms, and database.
2) Scaling services horizontally using load balancing and auto-scaling.
3) Collecting performance metrics to monitor everything and make data-driven decisions about scaling.
4) Storing data in multiple databases like MySQL, MongoDB, HBase based on their suitability and scaling them independently as services.
The document summarizes the advantages of a native graph database like Neo4j over non-native graph approaches. It discusses how:
1) Non-native graph databases require denormalization and cannot fully enforce graph integrity since the database was not designed for graphs.
2) Neo4j is a native graph database where the engine, data structures, and query language are purpose-built for graphs, allowing it to achieve better performance, scale, and enforcement of graph constraints compared to non-native solutions.
3) Benchmarks show Neo4j can handle workloads with trillions of relationships, millions of writes per second, and outperform non-native databases on common graph queries by over
Haytham ElFadeel presented on next-generation storage systems and key-value stores. He began with an overview of scalable systems and the need for both vertical and horizontal scalability. He discussed the limitations of traditional databases in scaling, including complexity, wasted features, and multi-step query processing. Key-value stores were presented as an alternative, offering simple interfaces and designs optimized for scaling across hundreds of machines. Performance comparisons showed key-value stores significantly outperforming databases. Systems discussed included Amazon Dynamo, Facebook Cassandra, and Redis.
Facebook uses a combination of PHP, MySQL, and Memcache (LAMP stack) for their web and application tier. They have also developed various services and tools like Thrift, Scribe, and ODS to handle tasks like logging, monitoring, and communication between systems. Their architecture is designed for scale using principles like simplicity, optimizing for performance, and distributing load. Key components include caching data in Memcache, distributing MySQL databases, and developing services in higher performing languages when needed beyond the capabilities of PHP.
Self-Healing Test Automation Framework - HealeniumKnoldus Inc.
Revolutionize your test automation with Healenium's self-healing framework. Automate test maintenance, reduce flakes, and increase efficiency. Learn how to build a robust test automation foundation. Discover the power of self-healing tests. Transform your testing experience.
Project Delivery Methodology on a page with activities, deliverablesCLIVE MINCHIN
I've not found a 1 pager like this anywhere so I created it based on my experiences. This 1 pager details a waterfall style project methodology with defined phases, activities, deliverables, assumptions. There's nothing in here that conflicts with commonsense.
The Zaitechno Handheld Raman Spectrometer is a powerful and portable tool for rapid, non-destructive chemical analysis. It utilizes Raman spectroscopy, a technique that analyzes the vibrational fingerprint of molecules to identify their chemical composition. This handheld instrument allows for on-site analysis of materials, making it ideal for a variety of applications, including:
Material identification: Identify unknown materials, minerals, and contaminants.
Quality control: Ensure the quality and consistency of raw materials and finished products.
Pharmaceutical analysis: Verify the identity and purity of pharmaceutical compounds.
Food safety testing: Detect contaminants and adulterants in food products.
Field analysis: Analyze materials in the field, such as during environmental monitoring or forensic investigations.
The Zaitechno Handheld Raman Spectrometer is easy to use and features a user-friendly interface. It is compact and lightweight, making it ideal for field applications. With its rapid analysis capabilities, the Zaitechno Handheld Raman Spectrometer can help you improve efficiency and productivity in your research or quality control workflows.
Connecting Attitudes and Social Influences with Designs for Usable Security a...Cori Faklaris
Many system designs for cybersecurity and privacy have failed to account for individual and social circumstances, leading people to use workarounds such as password reuse or account sharing that can lead to vulnerabilities. To address the problem, researchers are building new understandings of how individuals’ attitudes and behaviors are influenced by the people around them and by their relationship needs, so that designers can take these into account. In this talk, I will first share my research to connect people’s security attitudes and social influences with their security and privacy behaviors. As part of this, I will present the Security and Privacy Acceptance Framework (SPAF), which identifies Awareness, Motivation, and Ability as necessary for strengthening people’s acceptance of security and privacy practices. I then will present results from my project to trace where social influences can help overcome obstacles to adoption such as negative attitudes or inability to troubleshoot a password manager. I will conclude by discussing my current work to apply these insights to mitigating phishing in SMS text messages (“smishing”).
This PDF delves into the aspects of information security from a forensic perspective, focusing on privacy leaks. It provides insights into the methods and tools used in forensic investigations to uncover and mitigate privacy breaches in mobile and cloud environments.
"Building Future-Ready Apps with .NET 8 and Azure Serverless Ecosystem", Stan...Fwdays
.NET 8 brought a lot of improvements for developers and maturity to the Azure serverless container ecosystem. So, this talk will cover these changes and explain how you can apply them to your projects. Another reason for this talk is the re-invention of Serverless from a DevOps perspective as a Platform Engineering trend with Backstage and the recent Radius project from Microsoft. So now is the perfect time to look at developer productivity tooling and serverless apps from Microsoft's perspective.
"Securing SSO Authentication: Strategies to eliminate vulnerabilities", Oleh ...Fwdays
We love developing applications, but sometimes we overlook critical security aspects, especially in the authentication. This oversight can lead to serious consequences. In this session, we'll explore the vulnerabilities that arise when authentication methods are weak, particularly in large-scale applications. We'll highlight the importance of Single Sign-On (SSO) authentication in modern development, and explain how SSO components interact with each other, including Identity Providers (IdP) and Service Providers (SP). We'll compare standards like SAML, OpenID, and OAuth, and demonstrate practical implementation on .NET using third-party solutions for seamless integration. Understanding SAML request/response formats and decoding tools will be the key. We'll also discuss real-world SAML configuration errors and vulnerabilities, and share best practices for securing SSO configurations, drawing on trusted sources like OWASP for guidance.
Garbage In, Garbage Out: Why poor data curation is killing your AI models (an...Zilliz
Enterprises have traditionally prioritized data quantity, assuming more is better for AI performance. However, a new reality is setting in: high-quality data, not just volume, is the key. This shift exposes a critical gap – many organizations struggle to understand their existing data and lack effective curation strategies and tools. This talk dives into these data challenges and explores the methods of automating data curation.
Selling software today doesn’t look anything like it did a few years ago. Especially software that runs inside a customer environment. Dreamfactory has used Anchore and Ask Sage to achieve compliance in a record time. Reducing attack surface to keep vulnerability counts low, and configuring automation to meet those compliance requirements. After achieving compliance, they are keeping up to date with Anchore Enterprise in their CI/CD pipelines.
The CEO of Ask Sage, Nic Chaillan, the CEO of Dreamfactory Terence Bennet, and Anchore’s VP of Security Josh Bressers are going to discuss these hard problems.
In this webinar we will cover:
- The standards Dreamfactory decided to use for their compliance efforts
- How Dreamfactory used Ask Sage to collect and write up their evidence
- How Dreamfactory used Anchore Enterprise to help achieve their compliance needs
- How Dreamfactory is using automation to stay in compliance continuously
- How reducing attack surface can lower vulnerability findings
- How you can apply these principles in your own environment
When you do security right, they won’t know you’ve done anything at all!
Multimodal Embeddings (continued) - South Bay Meetup SlidesZilliz
Frank Liu will walk through the history of embeddings and how we got to the cool embedding models used today. He'll end with a demo on how multimodal RAG is used.
Using ScyllaDB for Real-Time Write-Heavy WorkloadsScyllaDB
Keeping latencies low for highly concurrent, intensive data ingestion
ScyllaDB’s “sweet spot” is workloads over 50K operations per second that require predictably low (e.g., single-digit millisecond) latency. And its unique architecture makes it particularly valuable for the real-time write-heavy workloads such as those commonly found in IoT, logging systems, real-time analytics, and order processing.
Join ScyllaDB technical director Felipe Cardeneti Mendes and principal field engineer, Lubos Kosco to learn about:
- Common challenges that arise with real-time write-heavy workloads
- The tradeoffs teams face and tips for negotiating them
- ScyllaDB architectural elements that support real-time write-heavy workloads
- How your peers are using ScyllaDB with similar workloads
DefCamp_2016_Chemerkin_Yury-publish.pdf - Presentation by Yury Chemerkin at DefCamp 2016 discussing mobile app vulnerabilities, data protection issues, and analysis of security levels across different types of mobile applications.
6. SQL Control
•mysqldump --no-data --xml
-uyouruser -pyourpass koha_db
>dump.sql
•~125 tables
•~1773 lines of XML
So what do you use to
look at it all?
•That is a lot of stuff.
7. SQL Tools
• phpMyAdmin: web based table control, a
great way to break everything and not be
able to fix it. I once performed a tech
inventory for the State
• MySQL Administrator, MySQL Query
of Ohio in one of its
smaller departments.
The single largest line
item was $427,000 for 7
Browser: Free and “official”. boxes of Oracle soft ware.
• Tons of OSS applications. Varying quality.
• Tons of proprietary software. Varying cost.
8. DB Design Principles
• Limit duplication of values
• Put related data together
• Proper data typing
• Keys, indexes, etc., etc., etc.
13. DB Design Problems
• MARC: not a relational design.
• MARC: limits on record dimensions.
• MARC: performance implications.
• Battle of MARCs. Legacy code and data.
• FRBR, holdings, bindings, serials, etc.
• Excuses, excuses, excuses...
16. Core tables
• systempreferences: system preferences
• branches: the most frequently keyed table
17. Core tables
• systempreferences: system preferences
• branches: the most frequently keyed table
• borrowers: users, patrons, staff, people, whomever
18. Core tables
• systempreferences: system preferences
• branches: the most frequently keyed table
• borrowers: users, patrons, staff, people, whomever
• biblio: title level
19. Core tables
• systempreferences: system preferences
• branches: the most frequently keyed table
• borrowers: users, patrons, staff, people, whomever
• biblio: title level
• biblioitems: marc & marcxml, going away soon
20. Core tables
• systempreferences: system preferences
• branches: the most frequently keyed table
• borrowers: users, patrons, staff, people, whomever
• biblio: title level
• biblioitems: marc & marcxml, going away soon
• items: where the barcodes live
21. Parallel tables
• deletedxxx: biblios, items, biblioitems,
borrowers
• old_xxx: old_issues, old_reserves. Need
more.
22. Black Magicks
You won’t be importing to
any of these tables.
Very application specific.
• marc_subfield_structure
• marc_tag_structure