Query performance can either be a constant headache or the unsung hero of an application. MongoDB provides extremely powerful querying capabilities when used properly. As a member of the support team I will share common mistakes observed as well as tips and tricks to avoiding them.
MongoDB.local Seattle 2019: Tips & Tricks for Avoiding Common Query PitfallsMongoDB
Query performance can either be a constant headache or the unsung hero of an application. MongoDB provides extremely powerful querying capabilities when used properly. As a member of the support team I will share common mistakes observed as well as tips and tricks to avoiding them.
Tips and Tricks for Avoiding Common Query PitfallsMongoDB
Query performance can either be a constant headache or the unsung hero of an application. MongoDB provides extremely powerful querying capabilities when used properly. As a member of the support team I will share common mistakes observed as well as tips and tricks to avoiding them.
MongoDB.local Austin 2018: Tips and Tricks for Avoiding Common Query PitfallsMongoDB
Presented by: Chris Harris
MongoDB
Query performance can either be a constant headache or the unsung hero of an application. MongoDB provides extremely powerful querying capabilities when used properly. As a member of the support team I will share common mistakes observed as well as tips and tricks to avoiding them.
MongoDB.local Sydney 2019: Tips and Tricks for Avoiding Common Query PitfallsMongoDB
Query performance can either be a constant headache or the unsung hero of an application. MongoDB provides extremely powerful querying capabilities when used properly. As a member of the support team I will share common mistakes observed as well as tips and tricks to avoiding them.
MongoDB World 2019: Tips and Tricks++ for Querying and Indexing MongoDBMongoDB
Query performance can either be a constant headache or the unsung hero of an application. MongoDB provides extremely powerful querying capabilities when used properly. As a senior member of the support team I will share more common mistakes observed and some tips and tricks to avoiding them.
MongoDB World 2019: How to Keep an Average API Response Time Less than 5ms wi...MongoDB
MDBW 19 Slide and Video Tagging info
MDBW 19 Slide and Video Tagging info
100%
9
eluc
0 of 0
Context:
Do you need high query performance on your MongoDB? I will share the story about how our team build a stable filter search API platform called ‘Mach’ with 6 MongoDBs, which has 4ms average response time while taking 4,000+ read QPS and 6,000+ write QPS.
shared with one person, off - only specific people can access.
Do you need high query performance on your MongoDB? I will share the story about how our team build a stable filter search API platform called ‘Mach’ with 6 MongoDBs, which has 4ms average response time while taking 4,000+ read QPS and 6,000+ write QPS.
MongoDB.local Seattle 2019: Tips & Tricks for Avoiding Common Query PitfallsMongoDB
Query performance can either be a constant headache or the unsung hero of an application. MongoDB provides extremely powerful querying capabilities when used properly. As a member of the support team I will share common mistakes observed as well as tips and tricks to avoiding them.
Tips and Tricks for Avoiding Common Query PitfallsMongoDB
Query performance can either be a constant headache or the unsung hero of an application. MongoDB provides extremely powerful querying capabilities when used properly. As a member of the support team I will share common mistakes observed as well as tips and tricks to avoiding them.
MongoDB.local Austin 2018: Tips and Tricks for Avoiding Common Query PitfallsMongoDB
Presented by: Chris Harris
MongoDB
Query performance can either be a constant headache or the unsung hero of an application. MongoDB provides extremely powerful querying capabilities when used properly. As a member of the support team I will share common mistakes observed as well as tips and tricks to avoiding them.
MongoDB.local Sydney 2019: Tips and Tricks for Avoiding Common Query PitfallsMongoDB
Query performance can either be a constant headache or the unsung hero of an application. MongoDB provides extremely powerful querying capabilities when used properly. As a member of the support team I will share common mistakes observed as well as tips and tricks to avoiding them.
MongoDB World 2019: Tips and Tricks++ for Querying and Indexing MongoDBMongoDB
Query performance can either be a constant headache or the unsung hero of an application. MongoDB provides extremely powerful querying capabilities when used properly. As a senior member of the support team I will share more common mistakes observed and some tips and tricks to avoiding them.
MongoDB World 2019: How to Keep an Average API Response Time Less than 5ms wi...MongoDB
MDBW 19 Slide and Video Tagging info
MDBW 19 Slide and Video Tagging info
100%
9
eluc
0 of 0
Context:
Do you need high query performance on your MongoDB? I will share the story about how our team build a stable filter search API platform called ‘Mach’ with 6 MongoDBs, which has 4ms average response time while taking 4,000+ read QPS and 6,000+ write QPS.
shared with one person, off - only specific people can access.
Do you need high query performance on your MongoDB? I will share the story about how our team build a stable filter search API platform called ‘Mach’ with 6 MongoDBs, which has 4ms average response time while taking 4,000+ read QPS and 6,000+ write QPS.
Aggregation Pipeline Power++: MongoDB 4.2 파이프 라인 쿼리, 업데이트 및 구체화된 뷰 소개 [MongoDB]MongoDB
MongoDB 2.2 이후 집계 파이프라인을 통한 데이터 분석을 강화하고 있습니다.
버전 4.2 에서는 더 많은 기능을 추가 했으며, 더 강력한 쿼리 및 업데이트 그리고 MView 기능까지 사용 할 수
있습니다. 집계파이프 라인을 포함한 해당 기능을 이용하여 단일뷰(SignleView), ETL, 데이터 롤업 및 MView 수행하는 방법을 설명합니다.
Introduction to Search Systems - ScaleConf Colombia 2017Toria Gibbs
Often when a new user arrives on your website, the first place they go to find information is the search box! Whether they are searching for hotels on your travel site, products on your e-commerce site, or friends to connect with on your social media site, it is important to have fast, effective search in order to engage the user.
An overview of how we build custom, bespoke WordPress themes - from techniques to file structures and automation - this is an insight into how we develop (profitable!) bespoke custom WordPress themes.
How Search Engines Work (A Thing I Didn't Learn in University)Toria Gibbs
You probably learned about databases in university, but did you learn about search engines? The search bar is the most important feature of many websites... and yet most people don’t know how it really works!
Toria Gibbs didn’t know how search engines work either, until she landed a job doing search infrastructure. Extrapolating (a.k.a. guessing) from what she knew about databases worked for a while, but eventually she had to buckle down and learn the fundamentals.
In this talk, we’ll learn the basic implementation of a search engine. We’ll see how search engines can outperform databases in some ways (but not others!) and what trade-offs were made to achieve this fast performance.
You’ll walk away knowing when to add a search engine to your project, how to build it using open source tools, and how to ace a technical interview and succeed at your job, even when you don’t already know the domain!
A Search Index is Not a Database Index - Full Stack Toronto 2017Toria Gibbs
A search engine is not a database. Search systems are optimized for fast search using an internal data structure called an inverted index. Databases have a similar feature to allow quick access, also called an index, but it’s a totally different thing!
In this talk, Toria Gibbs will take you on a tour of the internals of a search index, comparing it to common implementations of indexing in relational databases. We’ll see how search engines can outperform databases and discuss the tradeoffs in implementing and maintaining such a system. No prior knowledge of database or search index implementations required; experience creating or querying database tables will be helpful.
MySQLConf2009: Taking ActiveRecord to the Next LevelBlythe Dunham
Taking ActiveRecord to the next level contains tips and tricks for using ActiveRecord with enterprise Ruby on Rails Applications. Learn how to import and export multiple records, read off replicas, handle deadlocks, and use temporary tables. Use MySQL functionality such as adding index hints, on duplicate key update, insert select and more.
Today's complex data is not only big, but also semi-structured and densely connected. In this session we'll look at how size, structure and connectedness have converged to change the way we work with data. We'll then go on to look at some of the new opportunities for creating end-user value that have emerged in a world of connected data, illustrated with practical examples implemented using Neo4j, the world's leading graph database.
Speaker: Ian Robinson, Director of Customer Success, Neo Technology
Ian is an engineer at Neo Technology, currently working on research and development for future versions of the Neo4j graph database. Prior to joining the engineering team, Ian served as Neo's Director of Customer Success, managing training, professional services and support, and working with customers to design and develop graph database solutions. He is a co-author of 'Graph Databases' (O'Reilly) and 'REST in Practice' (O'Reilly), and a contributor to 'REST: From Research to Practice' (Springer) and 'Service Design Patterns' (Addison-Wesley). He presents at conferences worldwide on REST and the graph capabilities of Neo4j, and blogs at http://iansrobinson.com.
A way to identify trusted developer strings (aka "literals", which have been defined within the PHP script) which need to be used for HTML templates, SQL strings, CLI strings; and keep those completely separate from user controlled (attacker tainted) strings.
Speaker: Charlie Swanson
Learn how MongoDB answers your queries from a query system engineer. If you've ever had a performance problem with a query but didn't know how to find the cause, or if you've ever needed to confirm that your shiny new index is being put to work, the explain command is an excellent place to start. MongoDB's explain system is a powerful tool for solving this type of problem, but can be intimidating and unwieldy to use. In this talk, we will discuss how the explain command works and break down its output into digestible pieces.
Tips and Tricks for Avoiding Common Query Pitfalls Christian KurzeMongoDB
Query performance can either be a constant headache or the unsung hero of an application. MongoDB provides extremely powerful querying capabilities when used properly.
MongoDB .local London 2019: Tips and Tricks++ for Querying and Indexing MongoDBMongoDB
Query performance can either be a constant headache or the unsung hero of an application. MongoDB provides extremely powerful querying capabilities when used properly. As a senior member of the support team I will share more common mistakes observed and some tips and tricks to avoiding them.
Aggregation Pipeline Power++: MongoDB 4.2 파이프 라인 쿼리, 업데이트 및 구체화된 뷰 소개 [MongoDB]MongoDB
MongoDB 2.2 이후 집계 파이프라인을 통한 데이터 분석을 강화하고 있습니다.
버전 4.2 에서는 더 많은 기능을 추가 했으며, 더 강력한 쿼리 및 업데이트 그리고 MView 기능까지 사용 할 수
있습니다. 집계파이프 라인을 포함한 해당 기능을 이용하여 단일뷰(SignleView), ETL, 데이터 롤업 및 MView 수행하는 방법을 설명합니다.
Introduction to Search Systems - ScaleConf Colombia 2017Toria Gibbs
Often when a new user arrives on your website, the first place they go to find information is the search box! Whether they are searching for hotels on your travel site, products on your e-commerce site, or friends to connect with on your social media site, it is important to have fast, effective search in order to engage the user.
An overview of how we build custom, bespoke WordPress themes - from techniques to file structures and automation - this is an insight into how we develop (profitable!) bespoke custom WordPress themes.
How Search Engines Work (A Thing I Didn't Learn in University)Toria Gibbs
You probably learned about databases in university, but did you learn about search engines? The search bar is the most important feature of many websites... and yet most people don’t know how it really works!
Toria Gibbs didn’t know how search engines work either, until she landed a job doing search infrastructure. Extrapolating (a.k.a. guessing) from what she knew about databases worked for a while, but eventually she had to buckle down and learn the fundamentals.
In this talk, we’ll learn the basic implementation of a search engine. We’ll see how search engines can outperform databases in some ways (but not others!) and what trade-offs were made to achieve this fast performance.
You’ll walk away knowing when to add a search engine to your project, how to build it using open source tools, and how to ace a technical interview and succeed at your job, even when you don’t already know the domain!
A Search Index is Not a Database Index - Full Stack Toronto 2017Toria Gibbs
A search engine is not a database. Search systems are optimized for fast search using an internal data structure called an inverted index. Databases have a similar feature to allow quick access, also called an index, but it’s a totally different thing!
In this talk, Toria Gibbs will take you on a tour of the internals of a search index, comparing it to common implementations of indexing in relational databases. We’ll see how search engines can outperform databases and discuss the tradeoffs in implementing and maintaining such a system. No prior knowledge of database or search index implementations required; experience creating or querying database tables will be helpful.
MySQLConf2009: Taking ActiveRecord to the Next LevelBlythe Dunham
Taking ActiveRecord to the next level contains tips and tricks for using ActiveRecord with enterprise Ruby on Rails Applications. Learn how to import and export multiple records, read off replicas, handle deadlocks, and use temporary tables. Use MySQL functionality such as adding index hints, on duplicate key update, insert select and more.
Today's complex data is not only big, but also semi-structured and densely connected. In this session we'll look at how size, structure and connectedness have converged to change the way we work with data. We'll then go on to look at some of the new opportunities for creating end-user value that have emerged in a world of connected data, illustrated with practical examples implemented using Neo4j, the world's leading graph database.
Speaker: Ian Robinson, Director of Customer Success, Neo Technology
Ian is an engineer at Neo Technology, currently working on research and development for future versions of the Neo4j graph database. Prior to joining the engineering team, Ian served as Neo's Director of Customer Success, managing training, professional services and support, and working with customers to design and develop graph database solutions. He is a co-author of 'Graph Databases' (O'Reilly) and 'REST in Practice' (O'Reilly), and a contributor to 'REST: From Research to Practice' (Springer) and 'Service Design Patterns' (Addison-Wesley). He presents at conferences worldwide on REST and the graph capabilities of Neo4j, and blogs at http://iansrobinson.com.
A way to identify trusted developer strings (aka "literals", which have been defined within the PHP script) which need to be used for HTML templates, SQL strings, CLI strings; and keep those completely separate from user controlled (attacker tainted) strings.
Speaker: Charlie Swanson
Learn how MongoDB answers your queries from a query system engineer. If you've ever had a performance problem with a query but didn't know how to find the cause, or if you've ever needed to confirm that your shiny new index is being put to work, the explain command is an excellent place to start. MongoDB's explain system is a powerful tool for solving this type of problem, but can be intimidating and unwieldy to use. In this talk, we will discuss how the explain command works and break down its output into digestible pieces.
Tips and Tricks for Avoiding Common Query Pitfalls Christian KurzeMongoDB
Query performance can either be a constant headache or the unsung hero of an application. MongoDB provides extremely powerful querying capabilities when used properly.
MongoDB .local London 2019: Tips and Tricks++ for Querying and Indexing MongoDBMongoDB
Query performance can either be a constant headache or the unsung hero of an application. MongoDB provides extremely powerful querying capabilities when used properly. As a senior member of the support team I will share more common mistakes observed and some tips and tricks to avoiding them.
MongoDB .local London 2019: Tips and Tricks++ for Querying and Indexing MongoDBLisa Roth, PMP
Query performance can either be a constant headache or the unsung hero of an application. MongoDB provides extremely powerful querying capabilities when used properly. As a senior member of the support team I will share more common mistakes observed and some tips and tricks to avoiding them.
MongoDB .local Munich 2019: Tips and Tricks++ for Querying and Indexing MongoDBMongoDB
Query performance can either be a constant headache or the unsung hero of an application. MongoDB provides extremely powerful querying capabilities when used properly. As a member of the solutions architecture team I will share more common mistakes observed and some tips and tricks to avoiding them.
MongoDB .local Toronto 2019: Tips and Tricks for Effective IndexingMongoDB
Query performance can either be a constant headache or the unsung hero of an application. MongoDB provides extremely powerful querying capabilities when used properly. I will share more common mistakes observed and some tips and tricks to avoiding them.
MongoDB .local Bengaluru 2019: Tips and Tricks++ for Querying and Indexing Mo...MongoDB
Query performance can either be a constant headache or the unsung hero of an application. MongoDB provides extremely powerful querying capabilities when used properly. As a senior member of the Professional Services Team, I will share more common mistakes observed and some tips and tricks to avoiding them.
MongoDB .local San Francisco 2020: Tips and Tricks++ for Querying and Indexin...MongoDB
Query performance should be the unsung hero of an application, but without proper configuration, can become a constant headache. When used properly, MongoDB provides extremely powerful querying capabilities. In this session, we'll discuss concepts like equality, sort, range, managing query predicates versus sequential predicates, and best practices to building multikey indexes.
MongoDB .local Houston 2019:Tips and Tricks++ for Querying and Indexing MongoDBMongoDB
Query performance can either be a constant headache or the unsung hero of an application. MongoDB provides extremely powerful and performant querying capabilities by efficiently leveraging indexes. As the lead query expert on our global support team I will share some best practices for querying arrays, discuss the importance of compound indexes, and walk through how indexes are traversed by the database.
This talk was part tongue in cheek, part serious, but entirely fun and given twice as a lightning talk - once at Europython & once at the ACCU python uk 05. It presents a generic python like language parser which does actually work. Think of it as an alternative to brackets in Lisp!
Data Modelling for MongoDB - MongoDB.local Tel AvivNorberto Leite
At this point, you may be familiar with MongoDB and its Document Model.
However, what are the methods you can use to create an efficient database schema quickly and effectively?
This presentation will explore the different phases of a methodology to create a database schema. This methodology covers the description of your workload, the identification of the relationships between the elements (one-to-one, one-to-many and many-to-many) and an introduction to design patterns. Those patterns present practical solutions to different problems observed while helping our customers over the last 10 years.
In this session, you will learn about:
The differences between modeling for MongoDB versus a relational database.
A flexible methodology to model for MongoDB, which can be applied to simple projects, agile ones or more complex ones.
Overview of some common design patterns that help improve the performance of systems.
The MongoDB Spark Connector integrates MongoDB and Apache Spark, providing users with the ability to process data in MongoDB with the massive parallelism of Spark. The connector gives users access to Spark's streaming capabilities, machine learning libraries, and interactive processing through the Spark shell, Dataframes and Datasets. We'll take a tour of the connector with a focus on practical use of the connector, and run a demo using both Spark and MongoDB for data processing.
Technical feature review of features introduced by MongoDB 3.4 on graph capabilities, MongoDB UI tool: Compass, improvements on the replication and aggregation framework stages and utils. Operations improvements on Ops Manager and MongoDB Atlas.
MongoDB Certification Study Group - May 2016Norberto Leite
Study group session to review the certification exam regarding material covered, exam structure and technical requirements. DBA and Developers track covered to ensure the technical expertise of individuals on subject matter topics specific to MongoDB
This talk is quick reference of all the different queerability options that MongoDB offers to developers that want to build mobile and geospatial referenced applications. We reviewed the basic functionality but also recent improvements in the query and indexation engine of MongoDB geospatial features
Slidedeck presented at http://devternity.com/ around MongoDB internals. We review the usage patterns of MongoDB, the different storage engines and persistency models as well has the definition of documents and general data structures.
This presentation contains a preview of MongoDB 3.2 upcoming release where we explore the new storage engines, aggregation framework enhancements and utility features like document validation and partial indexes.
This presentation reviews the integration details of the springframework and MongoDB. We approach some of the most popular projects of the Spring stack, spring data, spring boot, spring batch ... and how we can easily build applications with MongoDB as backend. This presentation was produced for a webinar hosted by Pivotal.
MongoDB has been conceived for the cloud age. Making sure that MongoDB is compatible and performant around cloud providers is mandatory to achieve complete integration with platforms and systems. Azure is one of biggest IaaS platforms available and very popular amongst developers that work on Microsoft Stack.
Agile Software Development is becoming the defacto way of building software these days. More and more enterprises, from large fortune 500 to small shop start-ups, are adopting agile development methodologies. But Agile Software development is more than just a methodology or a practice. It's also a combined set of tools and platforms that today are at our disposal to allows to iterate faster, get-to-market sooner and also fail faster. These set of tools augment our development cycles by a few orders of magnitude and allow developers to be much more productive.
When dealing with infrastructure we often go through the process of determining the different resources needed to attend our application requirements. This talks looks into the way that resources are used by MongoDB and which aspects should be considered to determined the sizing, capacity and deployment of a MongoDB cluster given the different scenarios, different sets of operations and storage engines available.
Modern architectures are moving away from a "one size fits all" approach. We are well aware that we need to use the best tools for the job. Given the large selection of options available today, chances are that you will end up managing data in MongoDB for your operational workload and with Spark for your high speed data processing needs.
Description: When we model documents or data structures there are some key aspects that need to be examined not only for functional and architectural purposes but also to take into consideration the distribution of data nodes, streaming capabilities, aggregation and queryability options and how we can integrate the different data processing software, like Spark, that can benefit from subtle but substantial model changes. A clear example is when embedding or referencing documents and their implications on high speed processing.
Over the course of this talk we will detail the benefits of a good document model for the operational workload. As well as what type of transformations we should incorporate in our document model to adjust for the high speed processing capabilities of Spark.
We will look into the different options that we have to connect these two different systems, how to model according to different workloads, what kind of operators we need to be aware of for top performance and what kind of design and architectures we should put in place to make sure that all of these systems work well together.
Over the course of the talk we will showcase different libraries that enable the integration between spark and MongoDB, such as MongoDB Hadoop Connector, Stratio Connector and MongoDB Spark Native Connector.
By the end of the talk I expect the attendees to have an understanding of:
How they connect their MongoDB clusters with Spark
Which use cases show a net benefit for connecting these two systems
What kind of architecture design should be considered for making the most of Spark + MongoDB
How documents can be modeled for better performance and operational process, while processing these data sets stored in MongoDB.
The talk is suitable for:
Developers that want to understand how to leverage Spark
Architects that want to integrate their existing MongoDB cluster and have real time high speed processing needs
Data scientists that know about Spark, are playing with Spark and want to integrate with MongoDB for their persistency layer
Talk about schema design practices and technics that can be put to play in big data scenarios as well as in very flexible data scenarios. This talk was presented at PyConUK15.
Strongly Typed Languages and Flexible SchemasNorberto Leite
We like to use strongly type languages and used them along side with flexible schema databases. What challenges and strategies do we have to deal with data coherence and format validations using different strategies and tools like ODMs versioning, migrations et al. We also review the tradeoffs of such strategies.
This presentation touch the basics of MongoMK, Jackrabbit Oak MongoDB persistency layer implementation and how to deploy, operate, manage and size your MongoDB cluster on AEM environments
Introductory talk to how can MongoDB enable new age software taking into account the expected growth rates, the constant availability of services and new business models that appear on a daily basis.
Presentation on MongoDB and Node.JS. We describe how to do basic CRUD operations (insert, remove, update, find) how to aggregate using node.js. We also discuss a bit of Meteor, MEAN Stack and other ODMs and projects on Javascript and MongoDB
The integration between Spring Framework and MongoDB tends to be somewhat unknown. This presentation shows the different projects that compose Spring ecosystem, Springdata, Springboot, SpringIO etc and how to merge between the pure JAVA projects to massive enterprise systems that require the interaction of these systems together.
How to Position Your Globus Data Portal for Success Ten Good PracticesGlobus
Science gateways allow science and engineering communities to access shared data, software, computing services, and instruments. Science gateways have gained a lot of traction in the last twenty years, as evidenced by projects such as the Science Gateways Community Institute (SGCI) and the Center of Excellence on Science Gateways (SGX3) in the US, The Australian Research Data Commons (ARDC) and its platforms in Australia, and the projects around Virtual Research Environments in Europe. A few mature frameworks have evolved with their different strengths and foci and have been taken up by a larger community such as the Globus Data Portal, Hubzero, Tapis, and Galaxy. However, even when gateways are built on successful frameworks, they continue to face the challenges of ongoing maintenance costs and how to meet the ever-expanding needs of the community they serve with enhanced features. It is not uncommon that gateways with compelling use cases are nonetheless unable to get past the prototype phase and become a full production service, or if they do, they don't survive more than a couple of years. While there is no guaranteed pathway to success, it seems likely that for any gateway there is a need for a strong community and/or solid funding streams to create and sustain its success. With over twenty years of examples to draw from, this presentation goes into detail for ten factors common to successful and enduring gateways that effectively serve as best practices for any new or developing gateway.
Enhancing Research Orchestration Capabilities at ORNL.pdfGlobus
Cross-facility research orchestration comes with ever-changing constraints regarding the availability and suitability of various compute and data resources. In short, a flexible data and processing fabric is needed to enable the dynamic redirection of data and compute tasks throughout the lifecycle of an experiment. In this talk, we illustrate how we easily leveraged Globus services to instrument the ACE research testbed at the Oak Ridge Leadership Computing Facility with flexible data and task orchestration capabilities.
Paketo Buildpacks : la meilleure façon de construire des images OCI? DevopsDa...Anthony Dahanne
Les Buildpacks existent depuis plus de 10 ans ! D’abord, ils étaient utilisés pour détecter et construire une application avant de la déployer sur certains PaaS. Ensuite, nous avons pu créer des images Docker (OCI) avec leur dernière génération, les Cloud Native Buildpacks (CNCF en incubation). Sont-ils une bonne alternative au Dockerfile ? Que sont les buildpacks Paketo ? Quelles communautés les soutiennent et comment ?
Venez le découvrir lors de cette session ignite
Climate Science Flows: Enabling Petabyte-Scale Climate Analysis with the Eart...Globus
The Earth System Grid Federation (ESGF) is a global network of data servers that archives and distributes the planet’s largest collection of Earth system model output for thousands of climate and environmental scientists worldwide. Many of these petabyte-scale data archives are located in proximity to large high-performance computing (HPC) or cloud computing resources, but the primary workflow for data users consists of transferring data, and applying computations on a different system. As a part of the ESGF 2.0 US project (funded by the United States Department of Energy Office of Science), we developed pre-defined data workflows, which can be run on-demand, capable of applying many data reduction and data analysis to the large ESGF data archives, transferring only the resultant analysis (ex. visualizations, smaller data files). In this talk, we will showcase a few of these workflows, highlighting how Globus Flows can be used for petabyte-scale climate analysis.
Field Employee Tracking System| MiTrack App| Best Employee Tracking Solution|...informapgpstrackings
Keep tabs on your field staff effortlessly with Informap Technology Centre LLC. Real-time tracking, task assignment, and smart features for efficient management. Request a live demo today!
For more details, visit us : https://informapuae.com/field-staff-tracking/
Prosigns: Transforming Business with Tailored Technology SolutionsProsigns
Unlocking Business Potential: Tailored Technology Solutions by Prosigns
Discover how Prosigns, a leading technology solutions provider, partners with businesses to drive innovation and success. Our presentation showcases our comprehensive range of services, including custom software development, web and mobile app development, AI & ML solutions, blockchain integration, DevOps services, and Microsoft Dynamics 365 support.
Custom Software Development: Prosigns specializes in creating bespoke software solutions that cater to your unique business needs. Our team of experts works closely with you to understand your requirements and deliver tailor-made software that enhances efficiency and drives growth.
Web and Mobile App Development: From responsive websites to intuitive mobile applications, Prosigns develops cutting-edge solutions that engage users and deliver seamless experiences across devices.
AI & ML Solutions: Harnessing the power of Artificial Intelligence and Machine Learning, Prosigns provides smart solutions that automate processes, provide valuable insights, and drive informed decision-making.
Blockchain Integration: Prosigns offers comprehensive blockchain solutions, including development, integration, and consulting services, enabling businesses to leverage blockchain technology for enhanced security, transparency, and efficiency.
DevOps Services: Prosigns' DevOps services streamline development and operations processes, ensuring faster and more reliable software delivery through automation and continuous integration.
Microsoft Dynamics 365 Support: Prosigns provides comprehensive support and maintenance services for Microsoft Dynamics 365, ensuring your system is always up-to-date, secure, and running smoothly.
Learn how our collaborative approach and dedication to excellence help businesses achieve their goals and stay ahead in today's digital landscape. From concept to deployment, Prosigns is your trusted partner for transforming ideas into reality and unlocking the full potential of your business.
Join us on a journey of innovation and growth. Let's partner for success with Prosigns.
Large Language Models and the End of ProgrammingMatt Welsh
Talk by Matt Welsh at Craft Conference 2024 on the impact that Large Language Models will have on the future of software development. In this talk, I discuss the ways in which LLMs will impact the software industry, from replacing human software developers with AI, to replacing conventional software with models that perform reasoning, computation, and problem-solving.
Enterprise Resource Planning System includes various modules that reduce any business's workload. Additionally, it organizes the workflows, which drives towards enhancing productivity. Here are a detailed explanation of the ERP modules. Going through the points will help you understand how the software is changing the work dynamics.
To know more details here: https://blogs.nyggs.com/nyggs/enterprise-resource-planning-erp-system-modules/
In software engineering, the right architecture is essential for robust, scalable platforms. Wix has undergone a pivotal shift from event sourcing to a CRUD-based model for its microservices. This talk will chart the course of this pivotal journey.
Event sourcing, which records state changes as immutable events, provided robust auditing and "time travel" debugging for Wix Stores' microservices. Despite its benefits, the complexity it introduced in state management slowed development. Wix responded by adopting a simpler, unified CRUD model. This talk will explore the challenges of event sourcing and the advantages of Wix's new "CRUD on steroids" approach, which streamlines API integration and domain event management while preserving data integrity and system resilience.
Participants will gain valuable insights into Wix's strategies for ensuring atomicity in database updates and event production, as well as caching, materialization, and performance optimization techniques within a distributed system.
Join us to discover how Wix has mastered the art of balancing simplicity and extensibility, and learn how the re-adoption of the modest CRUD has turbocharged their development velocity, resilience, and scalability in a high-growth environment.
Software Engineering, Software Consulting, Tech Lead.
Spring Boot, Spring Cloud, Spring Core, Spring JDBC, Spring Security,
Spring Transaction, Spring MVC,
Log4j, REST/SOAP WEB-SERVICES.
AI Pilot Review: The World’s First Virtual Assistant Marketing SuiteGoogle
AI Pilot Review: The World’s First Virtual Assistant Marketing Suite
👉👉 Click Here To Get More Info 👇👇
https://sumonreview.com/ai-pilot-review/
AI Pilot Review: Key Features
✅Deploy AI expert bots in Any Niche With Just A Click
✅With one keyword, generate complete funnels, websites, landing pages, and more.
✅More than 85 AI features are included in the AI pilot.
✅No setup or configuration; use your voice (like Siri) to do whatever you want.
✅You Can Use AI Pilot To Create your version of AI Pilot And Charge People For It…
✅ZERO Manual Work With AI Pilot. Never write, Design, Or Code Again.
✅ZERO Limits On Features Or Usages
✅Use Our AI-powered Traffic To Get Hundreds Of Customers
✅No Complicated Setup: Get Up And Running In 2 Minutes
✅99.99% Up-Time Guaranteed
✅30 Days Money-Back Guarantee
✅ZERO Upfront Cost
See My Other Reviews Article:
(1) TubeTrivia AI Review: https://sumonreview.com/tubetrivia-ai-review
(2) SocioWave Review: https://sumonreview.com/sociowave-review
(3) AI Partner & Profit Review: https://sumonreview.com/ai-partner-profit-review
(4) AI Ebook Suite Review: https://sumonreview.com/ai-ebook-suite-review
Gamify Your Mind; The Secret Sauce to Delivering Success, Continuously Improv...Shahin Sheidaei
Games are powerful teaching tools, fostering hands-on engagement and fun. But they require careful consideration to succeed. Join me to explore factors in running and selecting games, ensuring they serve as effective teaching tools. Learn to maintain focus on learning objectives while playing, and how to measure the ROI of gaming in education. Discover strategies for pitching gaming to leadership. This session offers insights, tips, and examples for coaches, team leads, and enterprise leaders seeking to teach from simple to complex concepts.
Quarkus Hidden and Forbidden ExtensionsMax Andersen
Quarkus has a vast extension ecosystem and is known for its subsonic and subatomic feature set. Some of these features are not as well known, and some extensions are less talked about, but that does not make them less interesting - quite the opposite.
Come join this talk to see some tips and tricks for using Quarkus and some of the lesser known features, extensions and development techniques.
OpenFOAM solver for Helmholtz equation, helmholtzFoam / helmholtzBubbleFoamtakuyayamamoto1800
In this slide, we show the simulation example and the way to compile this solver.
In this solver, the Helmholtz equation can be solved by helmholtzFoam. Also, the Helmholtz equation with uniformly dispersed bubbles can be simulated by helmholtzBubbleFoam.
Code reviews are vital for ensuring good code quality. They serve as one of our last lines of defense against bugs and subpar code reaching production.
Yet, they often turn into annoying tasks riddled with frustration, hostility, unclear feedback and lack of standards. How can we improve this crucial process?
In this session we will cover:
- The Art of Effective Code Reviews
- Streamlining the Review Process
- Elevating Reviews with Automated Tools
By the end of this presentation, you'll have the knowledge on how to organize and improve your code review proces
Check out the webinar slides to learn more about how XfilesPro transforms Salesforce document management by leveraging its world-class applications. For more details, please connect with sales@xfilespro.com
If you want to watch the on-demand webinar, please click here: https://www.xfilespro.com/webinars/salesforce-document-management-2-0-smarter-faster-better/
7. 7
The Power of Query Optimization
Query tuning results in:
● Improved performance
● Reduced resource utilization
This may lead to:
● Improved stability and predictability
● Smaller hardware footprint
Not uncommon to observe efficiency improvements $gte 99%
15. Stakeholder #1 Concern
Developers created index
db.games.createIndex({ gamerTag: 1 })
This query takes several seconds to execute:
db.games.find( { gamerTag: "Ace" } ).sort({score:-1})
Adding the index on score does not help!
db.games.createIndex({ score: -1 })
16. Stakeholder #1 Concern
Developers created index
db.games.createIndex({ gamerTag: 1 })
This query takes several seconds to execute:
db.games.find( { gamerTag: "Ace" } ).sort({score:-1})
Adding the index on score does not help!
db.games.createIndex({ score: -1 })
“Clearly MongoDB
is not webscale!”
18. 18
Blocking Operation
Formally:
“An operation which must process all input before it can begin to produce any output.”
Opposite of the often desirable “fully pipelined” plan which can stream results back as soon as they
are found.
Commonly observed when a sort is added to a query
34. 34
Working with blocking stages
For sorting:
Add a supporting index
Worth the overhead in almost all circumstances
For other stages:
Do you need the blocking stage?
Offload to secondary member
37. Stakeholder #1 Concern
Performance of
db.games.find( { gamerTag: "Ace" } ).sort({score:-1})
db.games.createIndex({ gamerTag: 1, score:-1 })
"That’ll work great!”
38. Stakeholder #2 Concern
The $and version of a query
returns quickly:
db.games.find({
$and : [
{ gamerTag: "Ace" },
{ score: {$gt: 9000} }
]
})
But the $or version is slow:
db.games.find({
$or : [
{ gamerTag: "Ace" },
{ score: {$gt: 9000} }
]
})
39. Concern #2: Multiple queries same index
The $and version of a query
returns quickly:
db.games.find({
$and : [
{ gamerTag: "Ace" },
{ score: {$gt: 9000} }
]
})
But the $or version is slow:
db.games.find({
$or : [
{ gamerTag: "Ace" },
{ score: {$gt: 9000} }
]
})
We just created an index with both
those fields… Can it be used?
93. 93
Stakeholder #3 Concern
“Wait wait wait, we can’t even FIND the gamers!”
A basic search on gamerTag takes several seconds already:
db.games.find({gamerTag: /^Ace$/i})
“This query is SLOWER with the index than it is without it!”
107. 107
Work Smarter Not Harder
Understand the business logic
Index appropriately
Is it the right index to support the query?
Be aware of:
Blocking Stages
Usage of $or
Case sensitivity
Leverage the Performance Advisor
108. 108
Work Smarter Not Harder
Understand the business logic
Index appropriately
Is it the right index to support the query?
Be aware of:
Blocking Stages
Usage of $or
Case sensitivity
Leverage the Performance Advisor
110. 110
The Power of Query Optimization
Query tuning results in:
● Improved performance
● Reduced resource utilization
This may lead to:
● Improved stability and predictability
● A smaller hardware footprint
Not uncommon to observe efficiency improvements $gte 99%
111. 111
Become the HERO!
- Plenty of resources out there
- http://university.mongodb.com
- http://docs.mongodb.com