moma-django overview --> Django + MongoDB: building a custom ORM layerGadi Oren
moma-django is a MongoDB manager for Django. It provides native Django ORM support for MongoDB documents, including the query API and the admin interface. It was developed as a part of two commercial products and released as an open source. In the talk we will review the motivation behind its developments, its features and go through 2-3 examples of how to use some of the features: migrating an existing model, advanced queries and the admin interface. If time permits we will discuss unit testing and south migrations.
Please find the video at: http://www.youtube.com/watch?v=cxQKTDLjb-w
Also check out: https://twitter.com/gadioren and www.ITculate.io
moma-django overview --> Django + MongoDB: building a custom ORM layerGadi Oren
moma-django is a MongoDB manager for Django. It provides native Django ORM support for MongoDB documents, including the query API and the admin interface. It was developed as a part of two commercial products and released as an open source. In the talk we will review the motivation behind its developments, its features and go through 2-3 examples of how to use some of the features: migrating an existing model, advanced queries and the admin interface. If time permits we will discuss unit testing and south migrations.
Please find the video at: http://www.youtube.com/watch?v=cxQKTDLjb-w
Also check out: https://twitter.com/gadioren and www.ITculate.io
Suggest.js (suggestion engine) is robust, flexible, and offers advanced functionalities such as:
Fast lookups (Autocomplete)
Related Concepts
AutoCorrect
Recent Searches / Search history
Prefetching (Powered by localStorage)
Data merging
Intelligent caching(URL caching)
Personalised Search (Recent Search/User Based)
This is the content of first workshop os a 3 workshop series for learning to create Single Page Web Apps.
This focuses on introducing the HTML, CSS and Javascript to the newbies.
Suggest.js (suggestion engine) is robust, flexible, and offers advanced functionalities such as:
Fast lookups (Autocomplete)
Related Concepts
AutoCorrect
Recent Searches / Search history
Prefetching (Powered by localStorage)
Data merging
Intelligent caching(URL caching)
Personalised Search (Recent Search/User Based)
This is the content of first workshop os a 3 workshop series for learning to create Single Page Web Apps.
This focuses on introducing the HTML, CSS and Javascript to the newbies.
Presentation Material for NoSQL Indonesia "October MeetUp".
This slide talks about basic schema design and some examples in applications already on production.
MongoDB 2.4 enthält über hundert Verbesserungen, welche mehr Möglichkeiten und eine höhere Produktivität für Entwickler, erweiterte Datenbank Management Funktionalitäten und Geschwindigkeitsverbesserungen beinhalten. Im Webinar werden die wichtigsten Neuerungen anhand von Beispielen erläutert.
This presentation was given at the LDS Tech SORT Conference 2011 in Salt Lake City. The slides are quite comprehensive covering many topics on MongoDB. Rather than a traditional presentation, this was presented as more of a Q & A session. Topics covered include. Introduction to MongoDB, Use Cases, Schema design, High availability (replication) and Horizontal Scaling (sharding).
Back to Basics 2017: Mí primera aplicación MongoDBMongoDB
Descubra:
Cómo instalar MongoDB y usar el shell de MongoDB
Las operaciones básicas de CRUD
Cómo analizar el rendimiento de las consultas y añadir un índice
Apache Drill: An Active, Ad-hoc Query System for large-scale Data SetsMapR Technologies
Apache Drill: An Active, Ad-hoc Query System for large-scale Data Sets given by MapR Chief Data Engineer EMEA . Big Data User Group in Stuttgart 2013-05-16
Presentation on MongoDB given at the Hadoop DC meetup in October 2009. Some of the slides at the end are extra examples that didn't appear in the talk, but might be of interest.
MongoDB presentation for NYC Python's June meetup. Brief discussion on non-relational databases in general followed by an example of using MongoDB as a blog's backend
UiPath Test Automation using UiPath Test Suite series, part 4DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 4. In this session, we will cover Test Manager overview along with SAP heatmap.
The UiPath Test Manager overview with SAP heatmap webinar offers a concise yet comprehensive exploration of the role of a Test Manager within SAP environments, coupled with the utilization of heatmaps for effective testing strategies.
Participants will gain insights into the responsibilities, challenges, and best practices associated with test management in SAP projects. Additionally, the webinar delves into the significance of heatmaps as a visual aid for identifying testing priorities, areas of risk, and resource allocation within SAP landscapes. Through this session, attendees can expect to enhance their understanding of test management principles while learning practical approaches to optimize testing processes in SAP environments using heatmap visualization techniques
What will you get from this session?
1. Insights into SAP testing best practices
2. Heatmap utilization for testing
3. Optimization of testing processes
4. Demo
Topics covered:
Execution from the test manager
Orchestrator execution result
Defect reporting
SAP heatmap example with demo
Speaker:
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
Securing your Kubernetes cluster_ a step-by-step guide to success !KatiaHIMEUR1
Today, after several years of existence, an extremely active community and an ultra-dynamic ecosystem, Kubernetes has established itself as the de facto standard in container orchestration. Thanks to a wide range of managed services, it has never been so easy to set up a ready-to-use Kubernetes cluster.
However, this ease of use means that the subject of security in Kubernetes is often left for later, or even neglected. This exposes companies to significant risks.
In this talk, I'll show you step-by-step how to secure your Kubernetes cluster for greater peace of mind and reliability.
Accelerate your Kubernetes clusters with Varnish CachingThijs Feryn
A presentation about the usage and availability of Varnish on Kubernetes. This talk explores the capabilities of Varnish caching and shows how to use the Varnish Helm chart to deploy it to Kubernetes.
This presentation was delivered at K8SUG Singapore. See https://feryn.eu/presentations/accelerate-your-kubernetes-clusters-with-varnish-caching-k8sug-singapore-28-2024 for more details.
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.
The Art of the Pitch: WordPress Relationships and SalesLaura Byrne
Clients don’t know what they don’t know. What web solutions are right for them? How does WordPress come into the picture? How do you make sure you understand scope and timeline? What do you do if sometime changes?
All these questions and more will be explored as we talk about matching clients’ needs with what your agency offers without pulling teeth or pulling your hair out. Practical tips, and strategies for successful relationship building that leads to closing the deal.
Smart TV Buyer Insights Survey 2024 by 91mobiles.pdf91mobiles
91mobiles recently conducted a Smart TV Buyer Insights Survey in which we asked over 3,000 respondents about the TV they own, aspects they look at on a new TV, and their TV buying preferences.
LF Energy Webinar: Electrical Grid Modelling and Simulation Through PowSyBl -...DanBrown980551
Do you want to learn how to model and simulate an electrical network from scratch in under an hour?
Then welcome to this PowSyBl workshop, hosted by Rte, the French Transmission System Operator (TSO)!
During the webinar, you will discover the PowSyBl ecosystem as well as handle and study an electrical network through an interactive Python notebook.
PowSyBl is an open source project hosted by LF Energy, which offers a comprehensive set of features for electrical grid modelling and simulation. Among other advanced features, PowSyBl provides:
- A fully editable and extendable library for grid component modelling;
- Visualization tools to display your network;
- Grid simulation tools, such as power flows, security analyses (with or without remedial actions) and sensitivity analyses;
The framework is mostly written in Java, with a Python binding so that Python developers can access PowSyBl functionalities as well.
What you will learn during the webinar:
- For beginners: discover PowSyBl's functionalities through a quick general presentation and the notebook, without needing any expert coding skills;
- For advanced developers: master the skills to efficiently apply PowSyBl functionalities to your real-world scenarios.
Key Trends Shaping the Future of Infrastructure.pdfCheryl Hung
Keynote at DIGIT West Expo, Glasgow on 29 May 2024.
Cheryl Hung, ochery.com
Sr Director, Infrastructure Ecosystem, Arm.
The key trends across hardware, cloud and open-source; exploring how these areas are likely to mature and develop over the short and long-term, and then considering how organisations can position themselves to adapt and thrive.
Neuro-symbolic is not enough, we need neuro-*semantic*Frank van Harmelen
Neuro-symbolic (NeSy) AI is on the rise. However, simply machine learning on just any symbolic structure is not sufficient to really harvest the gains of NeSy. These will only be gained when the symbolic structures have an actual semantics. I give an operational definition of semantics as “predictable inference”.
All of this illustrated with link prediction over knowledge graphs, but the argument is general.
Dev Dives: Train smarter, not harder – active learning and UiPath LLMs for do...UiPathCommunity
💥 Speed, accuracy, and scaling – discover the superpowers of GenAI in action with UiPath Document Understanding and Communications Mining™:
See how to accelerate model training and optimize model performance with active learning
Learn about the latest enhancements to out-of-the-box document processing – with little to no training required
Get an exclusive demo of the new family of UiPath LLMs – GenAI models specialized for processing different types of documents and messages
This is a hands-on session specifically designed for automation developers and AI enthusiasts seeking to enhance their knowledge in leveraging the latest intelligent document processing capabilities offered by UiPath.
Speakers:
👨🏫 Andras Palfi, Senior Product Manager, UiPath
👩🏫 Lenka Dulovicova, Product Program Manager, UiPath
Kubernetes & AI - Beauty and the Beast !?! @KCD Istanbul 2024Tobias Schneck
As AI technology is pushing into IT I was wondering myself, as an “infrastructure container kubernetes guy”, how get this fancy AI technology get managed from an infrastructure operational view? Is it possible to apply our lovely cloud native principals as well? What benefit’s both technologies could bring to each other?
Let me take this questions and provide you a short journey through existing deployment models and use cases for AI software. On practical examples, we discuss what cloud/on-premise strategy we may need for applying it to our own infrastructure to get it to work from an enterprise perspective. I want to give an overview about infrastructure requirements and technologies, what could be beneficial or limiting your AI use cases in an enterprise environment. An interactive Demo will give you some insides, what approaches I got already working for real.
6. Scaling out
no joins +
light transactional semantics =
horizontally scalable architectures
7. Data models
no joins +
light transactional semantics =
horizontally scalable architectures
important side effect :
new data models =
improved ways to develop
applications
10. MongoDB in two minutes
• Documents (think rows) are dicts:
{“hello”: “world”}
{“hello”: “world”, “foo”: [{“bar”: 1}]}
• Collections (think tables) are schema-free
• Queries are dynamic
• Great single node performance
• Built in replication and auto-sharding
• No complex transactions
13. Similar to +
• A lot of Django doesn’t depend on django.db:
• URL dispatch, templates, I18N, caching, etc.
• Some things do:
• Models
• Auth
• Sessions
• Admin
19. mango - sessions and auth
• Full sessions support
• mango provided User class
• supports is_authenticated(), set_password(), etc.
http://github.com/vpulim/mango