Finding Success with Managed Services in the Azure EnvironmentHostway|HOSTING
Join Microsoft Chief Strategist James Staten and HOSTING VP of Product Sean Bruton for this eye-opening exploration into – and discussion about – the successful union of Azure with managed services to optimize your cloud (and business) performance.
Windows Azure is Microsoft's application platform for the public cloud. You can use this platform in many different ways. For instance, you can use Windows Azure to build a web application that runs and stores its data in Microsoft datacenters. You can use Windows Azure just to store data, with the applications that use this data running on-premises (that is, outside the public cloud). You can use Windows Azure to create virtual machines for development and test or to run SharePoint and other applications.
MS Azure is a cloud computing service invented for creating, deploying as well as managing services and applications and services, which is managed through the global network of the data centers operated by Microsoft. This is for supporting the applications built for next-generation smartphones, tablets and laptops.
Microsoft cloud profitability scenariosMedhy Sandjak
La demande des clients pour les services sur le Cloud ne cesse de grandir.
Identifiez de nouvelles opportunités pour étendre votre rentabilité grâce à des exemples de modèles financiers et de scénarios dans le Cloud via Microsoft CSP.
First presentation I did about Microsoft Azure. Presented it for the Microsoft Student Champs meeting on 2011 November. Microsoft Azure was known as Windows Azure during that time.
Finding Success with Managed Services in the Azure EnvironmentHostway|HOSTING
Join Microsoft Chief Strategist James Staten and HOSTING VP of Product Sean Bruton for this eye-opening exploration into – and discussion about – the successful union of Azure with managed services to optimize your cloud (and business) performance.
Windows Azure is Microsoft's application platform for the public cloud. You can use this platform in many different ways. For instance, you can use Windows Azure to build a web application that runs and stores its data in Microsoft datacenters. You can use Windows Azure just to store data, with the applications that use this data running on-premises (that is, outside the public cloud). You can use Windows Azure to create virtual machines for development and test or to run SharePoint and other applications.
MS Azure is a cloud computing service invented for creating, deploying as well as managing services and applications and services, which is managed through the global network of the data centers operated by Microsoft. This is for supporting the applications built for next-generation smartphones, tablets and laptops.
Microsoft cloud profitability scenariosMedhy Sandjak
La demande des clients pour les services sur le Cloud ne cesse de grandir.
Identifiez de nouvelles opportunités pour étendre votre rentabilité grâce à des exemples de modèles financiers et de scénarios dans le Cloud via Microsoft CSP.
First presentation I did about Microsoft Azure. Presented it for the Microsoft Student Champs meeting on 2011 November. Microsoft Azure was known as Windows Azure during that time.
Microsoft Azure offers several services each categorized into one of the four major categories - Compute, Data, App, and Network Services. This session takes you through an overview of the Microsoft Azure Compute Services.
This is a brief introduction for Azure, a DevOps service created by Microsoft. After the Azure services we have some examples so you can see how easy it is to build a service in Azure and manage your company, without needing any local servers.
Going to the cloud with Microsoft and ITAdviser_Windows Azure overview for IT...Olimpia Oancea
We really believe that cloud is the new normal. For anyone who is looking to develop software, using a public cloud like Azure is a no-brainer. In the last year, we have not come across even a single scenario where a customer is looking to build a new innovative product, and they are going to deploy that in their own datacenter…
Olimpia Oancea, Co-Founder and CEO, ITAdviser
Learn essentials of Microsoft azure for developers.
Microsoft Azure is a growing collection of integrated cloud services which developers and IT professionals use to build, deploy and manage applications through our global network of datacentres. With Azure, you get the freedom to build and deploy wherever you want, using the tools, applications and frameworks of your choice.
"Microsoft: How to get the most with Cloudera & Microsoft Azure" by Filipe Prezado - Enterprise Architect @Microsoft on the event Cloudera & Big Data Ecosystem
This is a brief introduction to Microsoft Azure cloud. I used these slides in an intro session for developers. I did few demos during the session that not included in the slide. Brand name and logos are properties of their respective owners.
Microsoft Azure offers several services each categorized into one of the four major categories - Compute, Data, App, and Network Services. This session takes you through an overview of the Microsoft Azure Compute Services.
This is a brief introduction for Azure, a DevOps service created by Microsoft. After the Azure services we have some examples so you can see how easy it is to build a service in Azure and manage your company, without needing any local servers.
Going to the cloud with Microsoft and ITAdviser_Windows Azure overview for IT...Olimpia Oancea
We really believe that cloud is the new normal. For anyone who is looking to develop software, using a public cloud like Azure is a no-brainer. In the last year, we have not come across even a single scenario where a customer is looking to build a new innovative product, and they are going to deploy that in their own datacenter…
Olimpia Oancea, Co-Founder and CEO, ITAdviser
Learn essentials of Microsoft azure for developers.
Microsoft Azure is a growing collection of integrated cloud services which developers and IT professionals use to build, deploy and manage applications through our global network of datacentres. With Azure, you get the freedom to build and deploy wherever you want, using the tools, applications and frameworks of your choice.
"Microsoft: How to get the most with Cloudera & Microsoft Azure" by Filipe Prezado - Enterprise Architect @Microsoft on the event Cloudera & Big Data Ecosystem
This is a brief introduction to Microsoft Azure cloud. I used these slides in an intro session for developers. I did few demos during the session that not included in the slide. Brand name and logos are properties of their respective owners.
Developing a Roadmap for Digital TransformationJohn Sinke
Digitally mature companies out-perform their peers in innovation, agility and responsiveness to customers. “Digirati” also enjoy advantages in efficiency and effectiveness in product delivery, marketing, e-commerce, sales and customer service. More importantly, companies that achieve Digital Excellence are 26% more profitable (source: Capgemini Consulting and MIT Centre for Digital Business).
However, building a Roadmap for Digital Transformation requires not only successful collaboration between the CMO and the CIO, it also demands a strong customer-focused orientation and digital culture. During this presentation, John Sinke will share insights from leading marketers and his personal experience of turning Resorts World Sentosa into a “digital business”.
Digital Transformation: What it is and how to get thereEconsultancy
Digital Transformation: What it is and how to get there.
Authored by Econsultancy CEO Ashley Friedlein, this presentation on the topic of 'Digital Transformation', is broken down into six sections covering:
1. Digital Transformation - what it is and recent data and research on the topic
2. Strategy - what a digital strategy should include
3. Technology - the challenges of technology and the skills gap
4. People - looking at organisational structure, culture, roles & responsibilities, environment recquired
5. Process - how to address the speed, innovation and agility required
6. Business Transformation - how digital transformation is actually business transformation
Microsoft is releasing a new Browser with Windows 10, called Edge. Edge is a fork of Internet Explorer that leaves legacy support behind and adds support for many new specs and features. This session attempts to highlight many of the changes and provide understanding of what the future holds for web developers.
This is the Transformation Roadmap for Al-Aqariya TV after the last take over and management change, the plan aimed at developing a healthy sustainable business, it was provided by TAQAT Team, managed and designed by Mohamed Adam. The goal was to offer the new investors a better strategy to manage the Broadcasting Business in the edge of Financial Crisis.
Windows 10 may undo many of the changes introduced by its predecessor, Windows 8, but it still contains many new and unfamiliar features. Here’s our guide to getting to grips with them.
Microsoft Edge é uma das grandes funcionalidades do Windows 10. Conheça como que o novo navegador da Microsoft está posicionado em relação ao Javascript e a adoção do HTML5.
Digital Transformation in Customer Service: Roadmap for Success in 2014Ajit Khadd
Consumers have gone digital; you hear phrases like “digital by default” and “digital transformation”
in the C-suite. In fact, CDOs (Chief Digital Officers) are the latest addition to the C-suite!
From the SMX Advanced Conference in Seattle, Washington, June 22-23, 2016. SESSION: What Advanced SEOs Should Know From The Google Raters Guidelines. PRESENTATION: Nothing Wrong, But Nothing Special: Taking Your Quality from Medium to High - Given by Ruth Burr Reedy, @ruthburr - UpBuild, LLC, Director of Strategy. #SMX #14A
A brief comparison between two cloud platforms AWS vs. Azure. Compare Microsoft Azure services, pricing, customers and more with Amazon AWS through slides.
Top Digital Transformation Trends and Priorities for 2016Charlene Li
Given the importance of digital transformation and the never ending onslaught of new technologies, how should organization prioritize limited resources, time, and attention? This presentation to the San Francisco American Marketing Association is the 7th year in a row when Charlene has presented her take of top digital trends.
This Altimeter Group webinar explores the findings of our latest research report on digital transformation. Attendees will learn what digital transformation is, how companies are embracing change, the challenges and opportunities that emerge throughout the process, and how to refocus and reorganize teams to modernize, optimize, and integrate digital touchpoints.
Watch the webinar: https://www.slideshare.net/Altimeter/webinar-digital-transformation-with-brian-solis
Download the related report: altimetergroup.com/digitaltransformation/
Many corporations recognize their future depends on digital transformation. Earley Information Science outlines the 4 step process for building a roadmap to transformation.
How to Operationalise Real-Time Hadoop in the CloudAttunity
Hadoop and the Cloud are two of the most disruptive technologies to have emerged from the last decade, but how can you adapt to the increasing rate of change whilst providing the enterprise with the right data, quickly?
Watch this webinar with Attunity, Cloudera and Microsoft and learn:
-How to ingest the most valuable enterprise data into Hadoop
-About real life use cases of Cloudera on Azure
-How to combine the power of Hadoop and the scalable flexibility of Azure
Enable your business with more data in less time. Visit www.attunity.com for more information.
Hybrid cloud flexibility. You're only as agile as your platform.
The Microsoft Cloud, with Microsoft Azure, Windows Server, and Microsoft System Center, offers a platform that can span your on premises datacenter and the cloud. So you’re free to scale up, scale down, and innovate at the speed you need.
Big Data: InterConnect 2016 Session on Getting Started with Big Data AnalyticsCynthia Saracco
Learn how to get started with Big Data using a platform based on Apache Hadoop, Apache Spark, and IBM BigInsights technologies. The emphasis here is on free or low-cost options that require modest technical skills.
How to scale your PaaS with OVH infrastructure?OVHcloud
ForePaaS has developed an “as-a-service” platform which lets you automate an infrastructure designed for analytical applications. The company has formed a cloud partnership with OVH in order to deliver flexible solutions for containerised and high-performance tools, such as Kunernetes and Docker.
Breakout session during Proact's SYNC 2013, 18 september 2013.
Software Defined StorageClustered Data ONTAP: The Storage Hypervisor by Wessel Gans, NetApp
Webinar: How and Why to Containerize Your Legacy ApplicationsStorage Switzerland
Listen as experts from Storage Switzerland and HyperGrid discuss new alternatives to bi-modal IT that allow organizations to containerize legacy applications to create a completely agile data center. In this on demand webinar you will learn:
* What are Containers
* Why Should You Containerize Legacy Apps
* What are the Challenges of Moving Legacy Apps To Containers
* How to Overcome Container Challenges
Weet u nog waar uw bedrijfsdata zich bevindt? Uw data bevindt zich (straks) overal. In samenwerking met Commvault laten we zien, hoe uw organisatie ‘in control’ kan blijven over én meerwaarde kan geven aan uw data ongeacht of deze zich on-premise, in de cloud of op een end-user device bevindt.
Presentatie 9 juni 2016
.NET Usergroup Oldenburg 26. März 2015 - von Winfried Klinker und Andre Hühn
Microsoft Azure gehört zu den Cloud-Diensten, die Microsoft anbietet. Es umfasst neben dem Hosting von virtuellen Maschinen insbesondere eine große Sammlung an Diensten (wie SQL Azure, Mobile Services, Machine Learning).
Wir geben einen ersten Überblick über die Features von Azure insbesondere für Entwickler. Dabei werden wir sowohl auf die Platform as a Service (PaaS) Angebote wie auch auf die Infrastructe as a Service (IaaS) eingehen. Außerdem geben wir einen Einblick in moderne Cloud Architektur und zeigen Best Practices bei der Cloud Entwicklung auf. Dabei werden Beispiele aus der Praxis zeigen, wie man eine Fehlertolerante und robuste Cloud Lösung erstellen kann.
Über die Sprecher:
Winfried Klinker ist als Software Architekt bei der Firma Sitrion in Oldenburg tätig. Er beschäftigt sich größtenteils mit Cloud Architekturen mit Microsoft Azure vor allem in Bezug auf Backends für mobile Anwendungen.
Andre Hühn ist Team Lead für Entwicklung mobiler Apps bei der Firma Sitrion in Oldenburg und beeinflusst damit die Richtung der Architektur für das Sitrion ONE Produkt.
Data Architecture Best Practices for Advanced AnalyticsDATAVERSITY
Many organizations are immature when it comes to data and analytics use. The answer lies in delivering a greater level of insight from data, straight to the point of need.
There are so many Data Architecture best practices today, accumulated from years of practice. In this webinar, William will look at some Data Architecture best practices that he believes have emerged in the past two years and are not worked into many enterprise data programs yet. These are keepers and will be required to move towards, by one means or another, so it’s best to mindfully work them into the environment.
Get Started with Cloudera’s Cyber SolutionCloudera, Inc.
Cloudera empowers cybersecurity innovators to proactively secure the enterprise by accelerating threat detection, investigation, and response through machine learning and complete enterprise visibility. Cloudera’s cybersecurity solution, based on Apache Spot, enables anomaly detection, behavior analytics, and comprehensive access across all enterprise data using an open, scalable platform. But what’s the easiest way to get started?
Join Cloudera, StreamSets, and Arcadia Data as we show you first hand how we have made it easier to get your first use case up and running. During this session you will learn:
Signs you need Cloudera’s cybersecurity solution
How StreamSets can help increase enterprise visibility
Providing your security analyst the right context at the right time with modern visualizations
3 things to learn:
Signs you need Cloudera’s cybersecurity solution
How StreamSets can help increase enterprise visibility
Providing your security analyst the right context at the right time with modern visualizations
Enterprise Architecture vs. Data ArchitectureDATAVERSITY
Enterprise Architecture (EA) provides a visual blueprint of the organization, and shows key interrelationships between data, process, applications, and more. By abstracting these assets in a graphical view, it’s possible to see key interrelationships, particularly as they relate to data and its business impact across the organization. Join us for a discussion on how data architecture is a key component of an overall enterprise architecture for enhanced business value and success.
Unleashing the Power of Data_ Choosing a Trusted Analytics Platform.pdfEnterprise Wired
In this guide, we'll explore the key considerations and features to look for when choosing a Trusted analytics platform that meets your organization's needs and delivers actionable intelligence you can trust.
Techniques to optimize the pagerank algorithm usually fall in two categories. One is to try reducing the work per iteration, and the other is to try reducing the number of iterations. These goals are often at odds with one another. Skipping computation on vertices which have already converged has the potential to save iteration time. Skipping in-identical vertices, with the same in-links, helps reduce duplicate computations and thus could help reduce iteration time. Road networks often have chains which can be short-circuited before pagerank computation to improve performance. Final ranks of chain nodes can be easily calculated. This could reduce both the iteration time, and the number of iterations. If a graph has no dangling nodes, pagerank of each strongly connected component can be computed in topological order. This could help reduce the iteration time, no. of iterations, and also enable multi-iteration concurrency in pagerank computation. The combination of all of the above methods is the STICD algorithm. [sticd] For dynamic graphs, unchanged components whose ranks are unaffected can be skipped altogether.
The Building Blocks of QuestDB, a Time Series Databasejavier ramirez
Talk Delivered at Valencia Codes Meetup 2024-06.
Traditionally, databases have treated timestamps just as another data type. However, when performing real-time analytics, timestamps should be first class citizens and we need rich time semantics to get the most out of our data. We also need to deal with ever growing datasets while keeping performant, which is as fun as it sounds.
It is no wonder time-series databases are now more popular than ever before. Join me in this session to learn about the internal architecture and building blocks of QuestDB, an open source time-series database designed for speed. We will also review a history of some of the changes we have gone over the past two years to deal with late and unordered data, non-blocking writes, read-replicas, or faster batch ingestion.
Adjusting primitives for graph : SHORT REPORT / NOTESSubhajit Sahu
Graph algorithms, like PageRank Compressed Sparse Row (CSR) is an adjacency-list based graph representation that is
Multiply with different modes (map)
1. Performance of sequential execution based vs OpenMP based vector multiply.
2. Comparing various launch configs for CUDA based vector multiply.
Sum with different storage types (reduce)
1. Performance of vector element sum using float vs bfloat16 as the storage type.
Sum with different modes (reduce)
1. Performance of sequential execution based vs OpenMP based vector element sum.
2. Performance of memcpy vs in-place based CUDA based vector element sum.
3. Comparing various launch configs for CUDA based vector element sum (memcpy).
4. Comparing various launch configs for CUDA based vector element sum (in-place).
Sum with in-place strategies of CUDA mode (reduce)
1. Comparing various launch configs for CUDA based vector element sum (in-place).
Analysis insight about a Flyball dog competition team's performanceroli9797
Insight of my analysis about a Flyball dog competition team's last year performance. Find more: https://github.com/rolandnagy-ds/flyball_race_analysis/tree/main
06-04-2024 - NYC Tech Week - Discussion on Vector Databases, Unstructured Data and AI
Discussion on Vector Databases, Unstructured Data and AI
https://www.meetup.com/unstructured-data-meetup-new-york/
This meetup is for people working in unstructured data. Speakers will come present about related topics such as vector databases, LLMs, and managing data at scale. The intended audience of this group includes roles like machine learning engineers, data scientists, data engineers, software engineers, and PMs.This meetup was formerly Milvus Meetup, and is sponsored by Zilliz maintainers of Milvus.
Adjusting OpenMP PageRank : SHORT REPORT / NOTESSubhajit Sahu
For massive graphs that fit in RAM, but not in GPU memory, it is possible to take
advantage of a shared memory system with multiple CPUs, each with multiple cores, to
accelerate pagerank computation. If the NUMA architecture of the system is properly taken
into account with good vertex partitioning, the speedup can be significant. To take steps in
this direction, experiments are conducted to implement pagerank in OpenMP using two
different approaches, uniform and hybrid. The uniform approach runs all primitives required
for pagerank in OpenMP mode (with multiple threads). On the other hand, the hybrid
approach runs certain primitives in sequential mode (i.e., sumAt, multiply).
Chatty Kathy - UNC Bootcamp Final Project Presentation - Final Version - 5.23...John Andrews
SlideShare Description for "Chatty Kathy - UNC Bootcamp Final Project Presentation"
Title: Chatty Kathy: Enhancing Physical Activity Among Older Adults
Description:
Discover how Chatty Kathy, an innovative project developed at the UNC Bootcamp, aims to tackle the challenge of low physical activity among older adults. Our AI-driven solution uses peer interaction to boost and sustain exercise levels, significantly improving health outcomes. This presentation covers our problem statement, the rationale behind Chatty Kathy, synthetic data and persona creation, model performance metrics, a visual demonstration of the project, and potential future developments. Join us for an insightful Q&A session to explore the potential of this groundbreaking project.
Project Team: Jay Requarth, Jana Avery, John Andrews, Dr. Dick Davis II, Nee Buntoum, Nam Yeongjin & Mat Nicholas
06-04-2024 - NYC Tech Week - Discussion on Vector Databases, Unstructured Data and AI
Round table discussion of vector databases, unstructured data, ai, big data, real-time, robots and Milvus.
A lively discussion with NJ Gen AI Meetup Lead, Prasad and Procure.FYI's Co-Found
Levelwise PageRank with Loop-Based Dead End Handling Strategy : SHORT REPORT ...Subhajit Sahu
Abstract — Levelwise PageRank is an alternative method of PageRank computation which decomposes the input graph into a directed acyclic block-graph of strongly connected components, and processes them in topological order, one level at a time. This enables calculation for ranks in a distributed fashion without per-iteration communication, unlike the standard method where all vertices are processed in each iteration. It however comes with a precondition of the absence of dead ends in the input graph. Here, the native non-distributed performance of Levelwise PageRank was compared against Monolithic PageRank on a CPU as well as a GPU. To ensure a fair comparison, Monolithic PageRank was also performed on a graph where vertices were split by components. Results indicate that Levelwise PageRank is about as fast as Monolithic PageRank on the CPU, but quite a bit slower on the GPU. Slowdown on the GPU is likely caused by a large submission of small workloads, and expected to be non-issue when the computation is performed on massive graphs.
Enhanced Enterprise Intelligence with your personal AI Data Copilot.pdfGetInData
Recently we have observed the rise of open-source Large Language Models (LLMs) that are community-driven or developed by the AI market leaders, such as Meta (Llama3), Databricks (DBRX) and Snowflake (Arctic). On the other hand, there is a growth in interest in specialized, carefully fine-tuned yet relatively small models that can efficiently assist programmers in day-to-day tasks. Finally, Retrieval-Augmented Generation (RAG) architectures have gained a lot of traction as the preferred approach for LLMs context and prompt augmentation for building conversational SQL data copilots, code copilots and chatbots.
In this presentation, we will show how we built upon these three concepts a robust Data Copilot that can help to democratize access to company data assets and boost performance of everyone working with data platforms.
Why do we need yet another (open-source ) Copilot?
How can we build one?
Architecture and evaluation
2. Application Development
• Code with choice and flexibility
• Build for any and all data
• Breathe easy with built-in security and efficiency
• Transform apps with predictive analytics
• Create first-class native mobile apps. Fast.
https://www.microsoft.com/en-in/sql-server/application-development
3. Data Warehouse
• Manage relational and non-relational data
• Deploy across on-premises and cloud
• Bring advanced analytics to your data
• Choose from a complete set of Microsoft modern data warehouse solutions
https://www.microsoft.com/en-in/sql-server/big-data-data-warehousing
4. Advanced Analytics
• Rapid development and deployment
• Cloud and on-premises deployment
• Fast, reliable, scalable
• Easy application integration
https://www.microsoft.com/en-in/cloud-platform/advanced-analytics
5. OLTP Database Management
• 30 times faster
• End-to-end protection
• Simplified Management
• High Availability
https://www.microsoft.com/en-in/sql-server/oltp-database-management