Presentation on data preparation with pandasAkshitaKanther
Data preparation is the first step after you get your hands on any kind of dataset. This is the step when you pre-process raw data into a form that can be easily and accurately analyzed. Proper data preparation allows for efficient analysis - it can eliminate errors and inaccuracies that could have occurred during the data gathering process and can thus help in removing some bias resulting from poor data quality. Therefore a lot of an analyst's time is spent on this vital step.
Presentation on data preparation with pandasAkshitaKanther
Data preparation is the first step after you get your hands on any kind of dataset. This is the step when you pre-process raw data into a form that can be easily and accurately analyzed. Proper data preparation allows for efficient analysis - it can eliminate errors and inaccuracies that could have occurred during the data gathering process and can thus help in removing some bias resulting from poor data quality. Therefore a lot of an analyst's time is spent on this vital step.
Data structure comes with a number of algorithms. It works with different types of data and structures and organizes data to fulfill a specific purpose. It deals with algorithms, Algorithm design, Algorithm analysis, Graph algorithms, Equivalence relations, Hash functions, hash tables, Theory of computation, linked lists, stacks, queues, searching and sorting techniques, graph data structure, trees, recursion of algorithms. It is technical way of storing data by using some specific techniques in order to use data efficiently.
This presentation gives an overview of Elasticsearch going from the basics to complex things such as data modeling and JVM and cluster configuration and monitoring,
Document databases are more flexible in many ways than relational databases and this presents both opportunities and challenges. Poorly designed document structures adversely affect performance, increase maintenance overhead, and lead to unnecessarily complex application code. This presentation describes 5 commonly used design patters in document databases: one-to-many, many-to-many, simple table inheritance, trees and lookup patterns.
This webinar will cover new security features in MongoDB 2.6 including x.509 authentication, user defined roles, collection level access control, enterprise features like LDAP authentication and auditing, and many other SSL features. We will first give a brief overview of security features through MongoDB 2.4 then cover new features in 2.6 and coming releases.
Data structure comes with a number of algorithms. It works with different types of data and structures and organizes data to fulfill a specific purpose. It deals with algorithms, Algorithm design, Algorithm analysis, Graph algorithms, Equivalence relations, Hash functions, hash tables, Theory of computation, linked lists, stacks, queues, searching and sorting techniques, graph data structure, trees, recursion of algorithms. It is technical way of storing data by using some specific techniques in order to use data efficiently.
This presentation gives an overview of Elasticsearch going from the basics to complex things such as data modeling and JVM and cluster configuration and monitoring,
Document databases are more flexible in many ways than relational databases and this presents both opportunities and challenges. Poorly designed document structures adversely affect performance, increase maintenance overhead, and lead to unnecessarily complex application code. This presentation describes 5 commonly used design patters in document databases: one-to-many, many-to-many, simple table inheritance, trees and lookup patterns.
This webinar will cover new security features in MongoDB 2.6 including x.509 authentication, user defined roles, collection level access control, enterprise features like LDAP authentication and auditing, and many other SSL features. We will first give a brief overview of security features through MongoDB 2.4 then cover new features in 2.6 and coming releases.
Webinar: Architecting Secure and Compliant Applications with MongoDBMongoDB
High-profile security breaches have become embarrassingly common, but ultimately avoidable. Now more than ever, database security is a critical component of any production application. In this talk you'll learn to secure your deployment in accordance with best practices and compliance regulations. We'll explore the MongoDB Enterprise features which ensure HIPAA and PCI compliance, and protect you against attack, data exposure and a damaged reputation.
MongoDB Linux Porting, Performance Measurements and and Scaling Advantage usi...MongoDB
MongoDB has been ported onto Linux on z Systems. MongoDB Performance benefits from the superior single thread performance of System z processor and system design. The goal of the presentation is to demonstrate the value of running MongoDB on Linux for Systems z by comparing scaling behavior of MongoDB sharding on x86 and mainframe. The presentation will give details on performance numbers and scaling behavior of MongoDB on Systems z versus Intel based servers. The presentation will also sketch how MongoDB sharding on Linux on z Systems can be dockerized to facilitate the setup.
Overcoming Scaling Challenges in MongoDB Deployments with SSDMongoDB
Horizontal scaling of databases can increase performance and capacity, but adding nodes also increases infrastructure and management complexities. Cluster management can challenge even the most seasoned IT professional. While vertical scaling is easier to implement, it has traditionally been limited by memory and disk throughput. As both SSD latency and price continue to improve, the MongoDB database scaling equation changes. This session will review a number of SSD technologies that Intel employs (SATA, NVMe) and their impacts on I/O performance and database scaling. We will look at various architectural options for optimizing I/O based on our discussions with real world users. We will also provide attendees a glimpse at our future plans in terms of technologies in the storage area.
New to MongoDB? We'll provide an overview of installation, high availability through replication, scale out through sharding, and options for monitoring and backup. No prior knowledge of MongoDB is assumed. This session will jumpstart your knowledge of MongoDB operations, providing you with context for the rest of the day's content.
Security is more critical than ever with new computing environments in the cloud and expanding access to the internet. There are a number of security protection mechanisms available for MongoDB to ensure you have a stable and secure architecture for your deployment. We'll walk through general security threats to databases and specifically how they can be mitigated for MongoDB deployments. Topics will include general security tools, how to configure those for MongoDB, and security features available in MongoDB such as LDAP, SSL, x.509 and Authentication.
Evgeniy Karelin. Mongo DB integration example solving performance and high lo...Vlad Savitsky
This presentation is about real life example of using MongoDB on our not specific project for Drupal which supports more than 25m pageviews per day, more than 500k registered users with page load time less than 1sec.
It will give an understanding how MongoDB can be easily used to increase performance of web-site.
My presentation will be as easy as possible with simple examples and schemas but it will require at least intermediate level of developers.
- project and tasks overview. http://freerice.com/ - quiz game site. There are a lot of dynamic info, users (registered and anonymous), groups and their different game statistis, user statuses etc.
- problems while using MySQL
- server optimization attempts. Memcache+Varnish. MySQL replication. Using game as separate script and AJAX blocks with "light" bootstrap.
- MongoDB overview and it's benefits on current project.
- PHP and MongoDB
- project's MongoDB architecture overview
- nodes and MongoDB
- users/groups, their statistics and MongoDB
- switching MySQL to MongoDB in Views.
- indexing problems and statistic calculations.
- multilingual support
- scalability and using MongoDB replica set.
- totals
Этот доклад о применении MongoDB в одном из наших реальных проектов, который на данный момент обслуживает более 25млн показов страниц в день, более 500тыс зарегистрированных пользователей с скоростью загрузки страниц менее 1сек.
Он позволит понять каким образом можно использовать MongoDB для увеличения производительности сайта.
Мой доклад будет на столько простым на сколько это возможно с несложными схемами и примерами, но он требует как минимум среднего уровня разработчиков для полного понимания.
- краткое описание проекта и поставленных задач. http://freerice.com/ - игра-викторина. много динамических данных, группы, игроки (зарегистрированные и анонимусы) и их статистики по разным параметрам, статусы игроков и т.д.
- возникшие проблемы с работой MySQL.
- попытки серверной оптимизации. Memcache+Varnish. Репликация MySQL. Перенос игры в отдельный скрипт и AJAX блоки с использованием "легкого" бутстрапа.
- краткое описание MongoDB и приимущества его применения в текущем проекте.
- PHP и MongoDB
- общее описание архитектуры MongoDB на проекте.
- работа с нодами в MongoDB.
- работа с юзерами/группами и их статистиками.
- переход с MySQL на MongoDB в Views.
- проблемы с индексами, пересчеты статистик.
- поддержка многоязычности.
- масштабируемость MongoDB. Использование реплики.
- итоги
Security is more critical than ever with new computing environments in the cloud and expanding access to the Internet. There are a number of security protection mechanisms available for MongoDB to ensure you have a stable and secure architecture for your deployment. We'll walk through general security threats to databases and specifically how they can be mitigated for MongoDB deployments.
During this presentation, Infusion and MongoDB shared their mainframe optimization experiences and best practices. These have been gained from working with a variety of organizations, including a case study from one of the world’s largest banks. MongoDB and Infusion bring a tested approach that provides a new way of modernizing mainframe applications, while keeping pace with the demand for new digital services.
Use Performance Insights To Enhance MongoDB Performance - (Manosh Malai - Myd...Mydbops
Performance improvement, debugging, and monitoring are essential parts of the DBE(Database Engineering Team) role. The presentation present intriguing strategies, techniques, and tools that can be used to address or circumvent the majority of performance-related problems in this MongoDB Performance.
Dive deep into the intricacies of MongoDB with our comprehensive presentation on 'Indexing and Query Performance.' Explore essential concepts, from the foundational structure of indexes to advanced techniques for query optimization. With real-world case studies and insightful visualizations, gain a profound understanding of how MongoDB's indexing dramatically impacts the efficiency and speed of data retrieval. Whether you're a novice or an experienced developer, this presentation offers valuable insights to enhance your MongoDB expertise
GridMate - End to end testing is a critical piece to ensure quality and avoid...ThomasParaiso2
End to end testing is a critical piece to ensure quality and avoid regressions. In this session, we share our journey building an E2E testing pipeline for GridMate components (LWC and Aura) using Cypress, JSForce, FakerJS…
Encryption in Microsoft 365 - ExpertsLive Netherlands 2024Albert Hoitingh
In this session I delve into the encryption technology used in Microsoft 365 and Microsoft Purview. Including the concepts of Customer Key and Double Key Encryption.
In the rapidly evolving landscape of technologies, XML continues to play a vital role in structuring, storing, and transporting data across diverse systems. The recent advancements in artificial intelligence (AI) present new methodologies for enhancing XML development workflows, introducing efficiency, automation, and intelligent capabilities. This presentation will outline the scope and perspective of utilizing AI in XML development. The potential benefits and the possible pitfalls will be highlighted, providing a balanced view of the subject.
We will explore the capabilities of AI in understanding XML markup languages and autonomously creating structured XML content. Additionally, we will examine the capacity of AI to enrich plain text with appropriate XML markup. Practical examples and methodological guidelines will be provided to elucidate how AI can be effectively prompted to interpret and generate accurate XML markup.
Further emphasis will be placed on the role of AI in developing XSLT, or schemas such as XSD and Schematron. We will address the techniques and strategies adopted to create prompts for generating code, explaining code, or refactoring the code, and the results achieved.
The discussion will extend to how AI can be used to transform XML content. In particular, the focus will be on the use of AI XPath extension functions in XSLT, Schematron, Schematron Quick Fixes, or for XML content refactoring.
The presentation aims to deliver a comprehensive overview of AI usage in XML development, providing attendees with the necessary knowledge to make informed decisions. Whether you’re at the early stages of adopting AI or considering integrating it in advanced XML development, this presentation will cover all levels of expertise.
By highlighting the potential advantages and challenges of integrating AI with XML development tools and languages, the presentation seeks to inspire thoughtful conversation around the future of XML development. We’ll not only delve into the technical aspects of AI-powered XML development but also discuss practical implications and possible future directions.
Enchancing adoption of Open Source Libraries. A case study on Albumentations.AIVladimir Iglovikov, Ph.D.
Presented by Vladimir Iglovikov:
- https://www.linkedin.com/in/iglovikov/
- https://x.com/viglovikov
- https://www.instagram.com/ternaus/
This presentation delves into the journey of Albumentations.ai, a highly successful open-source library for data augmentation.
Created out of a necessity for superior performance in Kaggle competitions, Albumentations has grown to become a widely used tool among data scientists and machine learning practitioners.
This case study covers various aspects, including:
People: The contributors and community that have supported Albumentations.
Metrics: The success indicators such as downloads, daily active users, GitHub stars, and financial contributions.
Challenges: The hurdles in monetizing open-source projects and measuring user engagement.
Development Practices: Best practices for creating, maintaining, and scaling open-source libraries, including code hygiene, CI/CD, and fast iteration.
Community Building: Strategies for making adoption easy, iterating quickly, and fostering a vibrant, engaged community.
Marketing: Both online and offline marketing tactics, focusing on real, impactful interactions and collaborations.
Mental Health: Maintaining balance and not feeling pressured by user demands.
Key insights include the importance of automation, making the adoption process seamless, and leveraging offline interactions for marketing. The presentation also emphasizes the need for continuous small improvements and building a friendly, inclusive community that contributes to the project's growth.
Vladimir Iglovikov brings his extensive experience as a Kaggle Grandmaster, ex-Staff ML Engineer at Lyft, sharing valuable lessons and practical advice for anyone looking to enhance the adoption of their open-source projects.
Explore more about Albumentations and join the community at:
GitHub: https://github.com/albumentations-team/albumentations
Website: https://albumentations.ai/
LinkedIn: https://www.linkedin.com/company/100504475
Twitter: https://x.com/albumentations
GraphSummit Singapore | The Art of the Possible with Graph - Q2 2024Neo4j
Neha Bajwa, Vice President of Product Marketing, Neo4j
Join us as we explore breakthrough innovations enabled by interconnected data and AI. Discover firsthand how organizations use relationships in data to uncover contextual insights and solve our most pressing challenges – from optimizing supply chains, detecting fraud, and improving customer experiences to accelerating drug discoveries.
Epistemic Interaction - tuning interfaces to provide information for AI supportAlan Dix
Paper presented at SYNERGY workshop at AVI 2024, Genoa, Italy. 3rd June 2024
https://alandix.com/academic/papers/synergy2024-epistemic/
As machine learning integrates deeper into human-computer interactions, the concept of epistemic interaction emerges, aiming to refine these interactions to enhance system adaptability. This approach encourages minor, intentional adjustments in user behaviour to enrich the data available for system learning. This paper introduces epistemic interaction within the context of human-system communication, illustrating how deliberate interaction design can improve system understanding and adaptation. Through concrete examples, we demonstrate the potential of epistemic interaction to significantly advance human-computer interaction by leveraging intuitive human communication strategies to inform system design and functionality, offering a novel pathway for enriching user-system engagements.
Threats to mobile devices are more prevalent and increasing in scope and complexity. Users of mobile devices desire to take full advantage of the features
available on those devices, but many of the features provide convenience and capability but sacrifice security. This best practices guide outlines steps the users can take to better protect personal devices and information.
In his public lecture, Christian Timmerer provides insights into the fascinating history of video streaming, starting from its humble beginnings before YouTube to the groundbreaking technologies that now dominate platforms like Netflix and ORF ON. Timmerer also presents provocative contributions of his own that have significantly influenced the industry. He concludes by looking at future challenges and invites the audience to join in a discussion.
UiPath Test Automation using UiPath Test Suite series, part 6DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 6. In this session, we will cover Test Automation with generative AI and Open AI.
UiPath Test Automation with generative AI and Open AI webinar offers an in-depth exploration of leveraging cutting-edge technologies for test automation within the UiPath platform. Attendees will delve into the integration of generative AI, a test automation solution, with Open AI advanced natural language processing capabilities.
Throughout the session, participants will discover how this synergy empowers testers to automate repetitive tasks, enhance testing accuracy, and expedite the software testing life cycle. Topics covered include the seamless integration process, practical use cases, and the benefits of harnessing AI-driven automation for UiPath testing initiatives. By attending this webinar, testers, and automation professionals can gain valuable insights into harnessing the power of AI to optimize their test automation workflows within the UiPath ecosystem, ultimately driving efficiency and quality in software development processes.
What will you get from this session?
1. Insights into integrating generative AI.
2. Understanding how this integration enhances test automation within the UiPath platform
3. Practical demonstrations
4. Exploration of real-world use cases illustrating the benefits of AI-driven test automation for UiPath
Topics covered:
What is generative AI
Test Automation with generative AI and Open AI.
UiPath integration with generative AI
Speaker:
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
GraphRAG is All You need? LLM & Knowledge GraphGuy Korland
Guy Korland, CEO and Co-founder of FalkorDB, will review two articles on the integration of language models with knowledge graphs.
1. Unifying Large Language Models and Knowledge Graphs: A Roadmap.
https://arxiv.org/abs/2306.08302
2. Microsoft Research's GraphRAG paper and a review paper on various uses of knowledge graphs:
https://www.microsoft.com/en-us/research/blog/graphrag-unlocking-llm-discovery-on-narrative-private-data/
Pushing the limits of ePRTC: 100ns holdover for 100 daysAdtran
At WSTS 2024, Alon Stern explored the topic of parametric holdover and explained how recent research findings can be implemented in real-world PNT networks to achieve 100 nanoseconds of accuracy for up to 100 days.
Alt. GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using ...James Anderson
Effective Application Security in Software Delivery lifecycle using Deployment Firewall and DBOM
The modern software delivery process (or the CI/CD process) includes many tools, distributed teams, open-source code, and cloud platforms. Constant focus on speed to release software to market, along with the traditional slow and manual security checks has caused gaps in continuous security as an important piece in the software supply chain. Today organizations feel more susceptible to external and internal cyber threats due to the vast attack surface in their applications supply chain and the lack of end-to-end governance and risk management.
The software team must secure its software delivery process to avoid vulnerability and security breaches. This needs to be achieved with existing tool chains and without extensive rework of the delivery processes. This talk will present strategies and techniques for providing visibility into the true risk of the existing vulnerabilities, preventing the introduction of security issues in the software, resolving vulnerabilities in production environments quickly, and capturing the deployment bill of materials (DBOM).
Speakers:
Bob Boule
Robert Boule is a technology enthusiast with PASSION for technology and making things work along with a knack for helping others understand how things work. He comes with around 20 years of solution engineering experience in application security, software continuous delivery, and SaaS platforms. He is known for his dynamic presentations in CI/CD and application security integrated in software delivery lifecycle.
Gopinath Rebala
Gopinath Rebala is the CTO of OpsMx, where he has overall responsibility for the machine learning and data processing architectures for Secure Software Delivery. Gopi also has a strong connection with our customers, leading design and architecture for strategic implementations. Gopi is a frequent speaker and well-known leader in continuous delivery and integrating security into software delivery.
DevOps and Testing slides at DASA ConnectKari Kakkonen
My and Rik Marselis slides at 30.5.2024 DASA Connect conference. We discuss about what is testing, then what is agile testing and finally what is Testing in DevOps. Finally we had lovely workshop with the participants trying to find out different ways to think about quality and testing in different parts of the DevOps infinity loop.
zkStudyClub - Reef: Fast Succinct Non-Interactive Zero-Knowledge Regex ProofsAlex Pruden
This paper presents Reef, a system for generating publicly verifiable succinct non-interactive zero-knowledge proofs that a committed document matches or does not match a regular expression. We describe applications such as proving the strength of passwords, the provenance of email despite redactions, the validity of oblivious DNS queries, and the existence of mutations in DNA. Reef supports the Perl Compatible Regular Expression syntax, including wildcards, alternation, ranges, capture groups, Kleene star, negations, and lookarounds. Reef introduces a new type of automata, Skipping Alternating Finite Automata (SAFA), that skips irrelevant parts of a document when producing proofs without undermining soundness, and instantiates SAFA with a lookup argument. Our experimental evaluation confirms that Reef can generate proofs for documents with 32M characters; the proofs are small and cheap to verify (under a second).
Paper: https://eprint.iacr.org/2023/1886
20. B+ Tree
The B-tree is a generalization of a binary
search tree in that a node can have more than
two children
Order of B-Tree= max no of child nodes
The left subtree of a node contains only nodes
with keys less than the node's key.
he right subtree of a node contains only nodes
with keys greater than the node's key.
21.
22. A database index improves data
retrieval operations but they come up
with the cost.
slower writes and the use of more
storage space.
3 Gigabytes of collection, if you have 1 index,
approx it uses 500 Mb for that index
29. TAKE AWAY...
Index Datastructure
Index Cardinality
Indexing is not the only solution to improve the
performance
30. Points to consider while creating
index
Keys (columns) frequently involved in search
conditions of a query
Indexes can be created on Array, Sub-
documents and also Embedded Fields
Use Indexes to Sort Query Results
Queries that return a range of values using
operators such as $gt,$lt
Negation: Inequality queries are inefficient with
respect to indexes