This document provides instructions for common commands and functions in Notepad, including how to create, open, save, print, edit text, find and replace text, set formatting options, and insert the date and time. It outlines shortcuts for cut, copy, paste, undo, and selecting all. The summary describes the overall purpose and main points covered in the document.
Quick 30 minute session on MongoDB and Content Management Systems. Primarily covers PHP based platforms as they are the most common, however also references RoR and others.
This document discusses DHCP, DNS, and proxy servers. It provides instructions on how to install and configure DHCP and DNS servers in Windows Server 2008. It explains what DHCP, DNS, and proxy servers are and their purposes. DHCP assigns IP addresses to clients, DNS maps domain names to IP addresses, and proxy servers allow indirect network connections between clients and other servers.
This document provides instructions for common commands and functions in Notepad, including how to create, open, save, print, edit text, find and replace text, set formatting options, and insert the date and time. It outlines shortcuts for cut, copy, paste, undo, and selecting all. The summary describes the overall purpose and main points covered in the document.
Quick 30 minute session on MongoDB and Content Management Systems. Primarily covers PHP based platforms as they are the most common, however also references RoR and others.
This document discusses DHCP, DNS, and proxy servers. It provides instructions on how to install and configure DHCP and DNS servers in Windows Server 2008. It explains what DHCP, DNS, and proxy servers are and their purposes. DHCP assigns IP addresses to clients, DNS maps domain names to IP addresses, and proxy servers allow indirect network connections between clients and other servers.
MongoDB is one of the most popular databases these days and there are a few reasons for such popularity. One of these reasons is the excellent integration with different programming languages and development frameworks.
In the case of Python we take it a few notches up (native use of dictionaries, integration with asynchronous libraries (twisted, gevent), good support for web frameworks like django, flask, bottle ... (mongoengine anyone?).
This talk is about the several different projects that we support, the way to effectively use Python and MongoDB together and a few other improvements and announcements.
ACLU Partners with Tag1 to Raise Most-Ever $120M in Donations at Mission-Crit...Tag1 Consulting, Inc.
News events led to dramatically increased traffic, causing the ACLU’s donation platform to go down under load, impacting revenue and supporter engagement at a critical time for the organization. Performance tuning under normal circumstances is difficult, but even more so while under extreme load and experiencing downtime with millions of dollars being lost by the hour.
The ACLU called on Tag1’s Technical Architecture and Leadership to perform emergency support and rescue work to get the ACLU Action website back online as quickly as possible and to help it withstand even bigger traffic spikes in the future. The results of Tag1’s efforts were 3,000% increase in donations from a yearly average of $4mm to $120mm, $24mm in donations on a single weekend, 57% faster database response times, 900% throughput increase in requests per minute. In addition, systems stay online and perform quickly under extreme loads.
Working with MongoDB as MySQL DBA. Comparing commands from MongoDB to MySQL, similarities and differences. Exploring replication features, failover and recovery, adjusting the variables and checking status and using DML, DDL with different storage engines
Back to Basics: My First MongoDB ApplicationMongoDB
- The document is a slide deck for a webinar on building a basic blogging application using MongoDB.
- It covers MongoDB concepts like documents, collections and indexes. It then demonstrates how to install MongoDB, connect to it using the mongo shell, and insert documents.
- The slide deck proceeds to model a basic blogging application using MongoDB, creating collections for users, articles and comments. It shows how to query, update, and import large amounts of seeded data.
Okay. Once upon a time there was a content management system that needed to render markup. So this Content Managment System returned strings of HTML. Well that really wasn't that great because there were these people out in the world called Front End Developers and it just so happens that Front End Developers actually care about what the HTML looks like. Oh, by the way, this Content Management System is named Drupal.
Read more: http://2013.drupalcampcolorado.org/sessions/rewriting-drupal-theme-layer
This document summarizes Giant Eagle's use of MongoDB for an expense reimbursement application. It discusses why Giant Eagle chose MongoDB over its traditional .NET/Oracle stack, the technology stack used, and MongoDB's architecture. Some limitations encountered included inability to directly select subdocuments and query across collections. Overall, while MongoDB has some immature areas, it was a good fit for the project's performance needs and flexibility.
This document discusses moving data between Oracle Exadata and Hadoop for fast loading. It begins by introducing Oracle SQL Connector for HDFS, which allows querying Hadoop data using Oracle SQL and external tables. However, initial tests of loading 1TB of data showed slow speeds of only 75MB/second due to bottlenecks. Subsequent tests revealed the bottleneck was datatype conversion CPU usage on the Oracle side. The document then introduces Oracle Loader for Hadoop, which offloads datatype conversion to Hadoop cluster CPUs, allowing much faster loading of over 1GB/second by leveraging all available CPUs. Proper partitioning is also required for direct path loads to avoid contention.
This document summarizes a presentation about Druid, an open-source distributed data store designed to handle real-time queries on large datasets. It discusses what Druid is, its architecture, and how it compares to other technologies. Specifically, it covers how Druid's TopN query works and is much faster than a GROUP BY query, though results can be unstable with high replication. It also provides examples of queries and performance comparisons between Druid, Elasticsearch, and Kudu+Impala.
Capped collections in MongoDB allow you to limit the size and number of documents in a collection. This is useful for applications that involve logging, news feeds, or caching where collections need to be bounded. While documents cannot be deleted or updated, objects are returned in insertion order and the collection size is prevented from growing out of control. Geospatial indexing allows finding documents close to a location point, making it useful for location-based services. Real world examples of using capped collections include activity feeds, event logging, caching, and data pages.
The document discusses using MongoDB as a tick store for financial data. It provides an overview of MongoDB and its benefits for handling tick data, including its flexible data model, rich querying capabilities, native aggregation framework, ability to do pre-aggregation for continuous data snapshots, language drivers and Hadoop connector. It also presents a case study of AHL, a quantitative hedge fund, using MongoDB and Python as their market data platform to easily onboard large volumes of financial data in different formats and provide low-latency access for backtesting and research applications.
Cosa hanno in comune un mattoncino Lego e la backdoor XZ?Speck&Tech
ABSTRACT: A prima vista, un mattoncino Lego e la backdoor XZ potrebbero avere in comune il fatto di essere entrambi blocchi di costruzione, o dipendenze di progetti creativi e software. La realtà è che un mattoncino Lego e il caso della backdoor XZ hanno molto di più di tutto ciò in comune.
Partecipate alla presentazione per immergervi in una storia di interoperabilità, standard e formati aperti, per poi discutere del ruolo importante che i contributori hanno in una comunità open source sostenibile.
BIO: Sostenitrice del software libero e dei formati standard e aperti. È stata un membro attivo dei progetti Fedora e openSUSE e ha co-fondato l'Associazione LibreItalia dove è stata coinvolta in diversi eventi, migrazioni e formazione relativi a LibreOffice. In precedenza ha lavorato a migrazioni e corsi di formazione su LibreOffice per diverse amministrazioni pubbliche e privati. Da gennaio 2020 lavora in SUSE come Software Release Engineer per Uyuni e SUSE Manager e quando non segue la sua passione per i computer e per Geeko coltiva la sua curiosità per l'astronomia (da cui deriva il suo nickname deneb_alpha).
AI 101: An Introduction to the Basics and Impact of Artificial IntelligenceIndexBug
Imagine a world where machines not only perform tasks but also learn, adapt, and make decisions. This is the promise of Artificial Intelligence (AI), a technology that's not just enhancing our lives but revolutionizing entire industries.
“An Outlook of the Ongoing and Future Relationship between Blockchain Technologies and Process-aware Information Systems.” Invited talk at the joint workshop on Blockchain for Information Systems (BC4IS) and Blockchain for Trusted Data Sharing (B4TDS), co-located with with the 36th International Conference on Advanced Information Systems Engineering (CAiSE), 3 June 2024, Limassol, Cyprus.
Why You Should Replace Windows 11 with Nitrux Linux 3.5.0 for enhanced perfor...SOFTTECHHUB
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One such alternative that has garnered significant attention and acclaim is Nitrux Linux 3.5.0, a sleek, powerful, and user-friendly Linux distribution that promises to redefine the way we interact with our devices. With its focus on performance, security, and customization, Nitrux Linux presents a compelling case for those seeking to break free from the constraints of proprietary software and embrace the freedom and flexibility of open-source computing.
Unlock the Future of Search with MongoDB Atlas_ Vector Search Unleashed.pdfMalak Abu Hammad
Discover how MongoDB Atlas and vector search technology can revolutionize your application's search capabilities. This comprehensive presentation covers:
* What is Vector Search?
* Importance and benefits of vector search
* Practical use cases across various industries
* Step-by-step implementation guide
* Live demos with code snippets
* Enhancing LLM capabilities with vector search
* Best practices and optimization strategies
Perfect for developers, AI enthusiasts, and tech leaders. Learn how to leverage MongoDB Atlas to deliver highly relevant, context-aware search results, transforming your data retrieval process. Stay ahead in tech innovation and maximize the potential of your applications.
#MongoDB #VectorSearch #AI #SemanticSearch #TechInnovation #DataScience #LLM #MachineLearning #SearchTechnology
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.
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.
Programming Foundation Models with DSPy - Meetup SlidesZilliz
Prompting language models is hard, while programming language models is easy. In this talk, I will discuss the state-of-the-art framework DSPy for programming foundation models with its powerful optimizers and runtime constraint system.
How to Get CNIC Information System with Paksim Ga.pptxdanishmna97
Pakdata Cf is a groundbreaking system designed to streamline and facilitate access to CNIC information. This innovative platform leverages advanced technology to provide users with efficient and secure access to their CNIC details.
Best 20 SEO Techniques To Improve Website Visibility In SERPPixlogix Infotech
Boost your website's visibility with proven SEO techniques! Our latest blog dives into essential strategies to enhance your online presence, increase traffic, and rank higher on search engines. From keyword optimization to quality content creation, learn how to make your site stand out in the crowded digital landscape. Discover actionable tips and expert insights to elevate your SEO game.
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MongoDB is one of the most popular databases these days and there are a few reasons for such popularity. One of these reasons is the excellent integration with different programming languages and development frameworks.
In the case of Python we take it a few notches up (native use of dictionaries, integration with asynchronous libraries (twisted, gevent), good support for web frameworks like django, flask, bottle ... (mongoengine anyone?).
This talk is about the several different projects that we support, the way to effectively use Python and MongoDB together and a few other improvements and announcements.
ACLU Partners with Tag1 to Raise Most-Ever $120M in Donations at Mission-Crit...Tag1 Consulting, Inc.
News events led to dramatically increased traffic, causing the ACLU’s donation platform to go down under load, impacting revenue and supporter engagement at a critical time for the organization. Performance tuning under normal circumstances is difficult, but even more so while under extreme load and experiencing downtime with millions of dollars being lost by the hour.
The ACLU called on Tag1’s Technical Architecture and Leadership to perform emergency support and rescue work to get the ACLU Action website back online as quickly as possible and to help it withstand even bigger traffic spikes in the future. The results of Tag1’s efforts were 3,000% increase in donations from a yearly average of $4mm to $120mm, $24mm in donations on a single weekend, 57% faster database response times, 900% throughput increase in requests per minute. In addition, systems stay online and perform quickly under extreme loads.
Working with MongoDB as MySQL DBA. Comparing commands from MongoDB to MySQL, similarities and differences. Exploring replication features, failover and recovery, adjusting the variables and checking status and using DML, DDL with different storage engines
Back to Basics: My First MongoDB ApplicationMongoDB
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- It covers MongoDB concepts like documents, collections and indexes. It then demonstrates how to install MongoDB, connect to it using the mongo shell, and insert documents.
- The slide deck proceeds to model a basic blogging application using MongoDB, creating collections for users, articles and comments. It shows how to query, update, and import large amounts of seeded data.
Okay. Once upon a time there was a content management system that needed to render markup. So this Content Managment System returned strings of HTML. Well that really wasn't that great because there were these people out in the world called Front End Developers and it just so happens that Front End Developers actually care about what the HTML looks like. Oh, by the way, this Content Management System is named Drupal.
Read more: http://2013.drupalcampcolorado.org/sessions/rewriting-drupal-theme-layer
This document summarizes Giant Eagle's use of MongoDB for an expense reimbursement application. It discusses why Giant Eagle chose MongoDB over its traditional .NET/Oracle stack, the technology stack used, and MongoDB's architecture. Some limitations encountered included inability to directly select subdocuments and query across collections. Overall, while MongoDB has some immature areas, it was a good fit for the project's performance needs and flexibility.
This document discusses moving data between Oracle Exadata and Hadoop for fast loading. It begins by introducing Oracle SQL Connector for HDFS, which allows querying Hadoop data using Oracle SQL and external tables. However, initial tests of loading 1TB of data showed slow speeds of only 75MB/second due to bottlenecks. Subsequent tests revealed the bottleneck was datatype conversion CPU usage on the Oracle side. The document then introduces Oracle Loader for Hadoop, which offloads datatype conversion to Hadoop cluster CPUs, allowing much faster loading of over 1GB/second by leveraging all available CPUs. Proper partitioning is also required for direct path loads to avoid contention.
This document summarizes a presentation about Druid, an open-source distributed data store designed to handle real-time queries on large datasets. It discusses what Druid is, its architecture, and how it compares to other technologies. Specifically, it covers how Druid's TopN query works and is much faster than a GROUP BY query, though results can be unstable with high replication. It also provides examples of queries and performance comparisons between Druid, Elasticsearch, and Kudu+Impala.
Capped collections in MongoDB allow you to limit the size and number of documents in a collection. This is useful for applications that involve logging, news feeds, or caching where collections need to be bounded. While documents cannot be deleted or updated, objects are returned in insertion order and the collection size is prevented from growing out of control. Geospatial indexing allows finding documents close to a location point, making it useful for location-based services. Real world examples of using capped collections include activity feeds, event logging, caching, and data pages.
The document discusses using MongoDB as a tick store for financial data. It provides an overview of MongoDB and its benefits for handling tick data, including its flexible data model, rich querying capabilities, native aggregation framework, ability to do pre-aggregation for continuous data snapshots, language drivers and Hadoop connector. It also presents a case study of AHL, a quantitative hedge fund, using MongoDB and Python as their market data platform to easily onboard large volumes of financial data in different formats and provide low-latency access for backtesting and research applications.
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Partecipate alla presentazione per immergervi in una storia di interoperabilità, standard e formati aperti, per poi discutere del ruolo importante che i contributori hanno in una comunità open source sostenibile.
BIO: Sostenitrice del software libero e dei formati standard e aperti. È stata un membro attivo dei progetti Fedora e openSUSE e ha co-fondato l'Associazione LibreItalia dove è stata coinvolta in diversi eventi, migrazioni e formazione relativi a LibreOffice. In precedenza ha lavorato a migrazioni e corsi di formazione su LibreOffice per diverse amministrazioni pubbliche e privati. Da gennaio 2020 lavora in SUSE come Software Release Engineer per Uyuni e SUSE Manager e quando non segue la sua passione per i computer e per Geeko coltiva la sua curiosità per l'astronomia (da cui deriva il suo nickname deneb_alpha).
AI 101: An Introduction to the Basics and Impact of Artificial IntelligenceIndexBug
Imagine a world where machines not only perform tasks but also learn, adapt, and make decisions. This is the promise of Artificial Intelligence (AI), a technology that's not just enhancing our lives but revolutionizing entire industries.
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* Importance and benefits of vector search
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* Step-by-step implementation guide
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* Best practices and optimization strategies
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Nehmen Sie an diesem Webinar teil, bei dem HCL-Ambassador Marc Thomas und Gastredner Franz Walder Ihnen diese neue Welt näherbringen. Es vermittelt Ihnen die Tools und das Know-how, um den Überblick zu bewahren. Sie werden in der Lage sein, Ihre Kosten durch eine optimierte Domino-Konfiguration zu reduzieren und auch in Zukunft gering zu halten.
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