The document discusses Azure SQL Database Managed Instance, a new fully managed database service that provides SQL Server compatibility. It offers seamless migration of SQL Server workloads to the cloud with full compatibility, isolation, security and manageability. Customers can realize up to a 406% ROI over on-premises solutions through lower TCO, automatic management and scaling capabilities.
A Tour of Azure SQL Databases (NOVA SQL UG 2020)Timothy McAliley
This document provides information about upcoming webinars on Azure SQL and AI/ML hosted by various user groups. It lists the experience of the person running the user groups and provides an agenda for upcoming webinars in May and June 2020 that will cover various Azure database and analytics services. It also includes references and links for further learning about Azure SQL Database, Azure SQL Managed Instance, high availability and disaster recovery options.
In this presentation, we will do assess the on-premises environment and determining what workloads and databases are ready to make the move and what can you do to improve their Azure readiness while reducing downtime during the migration. Planning and assessment plays a critical role in moving to the cloud. We would see wide range of resources and tools to get an assessment completed with ease while identifying workload dependencies with practical tips and tricks focusing on sizing and costs. And finally, we’ll assess the SQL instances and identify their readiness for Azure as well.
Migrating on premises workload to azure sql databasePARIKSHIT SAVJANI
This document provides an overview of migrating databases from on-premises SQL Server to Azure SQL Database Managed Instance. It discusses why companies are moving to the cloud, challenges with migration, and the tools and services available to help with assessment and migration including Data Migration Service. Key steps in the migration workflow include assessing the database and application, addressing compatibility issues, and deploying the converted schema to Managed Instance which provides high compatibility with on-premises SQL Server in a fully managed platform as a service model.
Customer migration to azure sql database from on-premises SQL, for a SaaS app...George Walters
Why would someone take a working on-premises SaaS infrastructure, and migrate it to Azure? We review the technology decisions behind this conversion, and business choices behind migrating to Azure. The SQL 2012 infrastructure and application was migrated to PaaS Services. Finally, how would we do this architecture in 2019.
A modern data warehouse lets you bring together all your data at any scale easily, and to get insights through analytical dashboards, operational reports, or advanced analytics for all your users.
This document provides an overview of Azure SQL DB environments. It discusses the different types of cloud platforms including IaaS, PaaS and DBaaS. It summarizes the key features and benefits of Azure SQL DB including automatic backups, geo-replication for disaster recovery, and elastic pools for reducing costs. The document also covers pricing models, performance monitoring, automatic tuning capabilities, and security features of Azure SQL DB.
The breath and depth of Azure products that fall under the AI and ML umbrella can be difficult to follow. In this presentation I’ll first define exactly what AI, ML, and deep learning is, and then go over the various Microsoft AI and ML products and their use cases.
The new Microsoft Azure SQL Data Warehouse (SQL DW) is an elastic data warehouse-as-a-service and is a Massively Parallel Processing (MPP) solution for "big data" with true enterprise class features. The SQL DW service is built for data warehouse workloads from a few hundred gigabytes to petabytes of data with truly unique features like disaggregated compute and storage allowing for customers to be able to utilize the service to match their needs. In this presentation, we take an in-depth look at implementing a SQL DW, elastic scale (grow, shrink, and pause), and hybrid data clouds with Hadoop integration via Polybase allowing for a true SQL experience across structured and unstructured data.
This document discusses designing a modern data warehouse in Azure. It provides an overview of traditional vs. self-service data warehouses and their limitations. It also outlines challenges with current data warehouses around timeliness, flexibility, quality and findability. The document then discusses why organizations need a modern data warehouse based on criteria like customer experience, quality assurance and operational efficiency. It covers various approaches to ingesting, storing, preparing, modeling and serving data on Azure. Finally, it discusses architectures like the lambda architecture and common data models.
AWS Cloud Kata 2013 | Singapore - Getting to Scale on AWSAmazon Web Services
This session will focus on how to get from 'Minimum Viable Product' (MVP) to scale. It will also explain how to deal with unpredictable demand and how to build a scalable business. Attend this session to learn how to:
Scale web servers and app services with Elastic Load Balancing and Auto Scaling on Amazon EC2
Scale your storage on Amazon S3 and S3 Reduced Redundancy Storage
Scale your database with Amazon DynamoDB, Amazon RDS, and Amazon ElastiCache
Scale your customer base by reaching customers globally in minutes with Amazon CloudFront
Azure SQL Database Introduction by Tim RadneyHasan Savran
Have you been hearing about Azure Managed Instances and want to know what all the fuss is about? Come see how Managed Instances is changing how we think about cloud databases. Managed Instances can be considered a hybrid of Azure SQL Database and on-premises SQL Server with all the awesome benefits of Platform as a Service. You’ll get to see first-hand how easy it is to migrate databases from on-premises to a Managed Instance. We’ll explore the differences between Azure SQL Database, Managed Instances, and SQL Server on an Azure VM to help you determine what is the best fit for your organization. If you’ve been considering Azure for your organization, this session is for you!
Overview of Microsoft Appliances: Scaling SQL Server to Hundreds of TerabytesJames Serra
Learn how SQL Server can scale to HUNDREDS of terabytes for BI solutions. This session will focus on Fast Track Solutions and Appliances, Reference Architectures, and Parallel Data Warehousing (PDW). Included will be performance numbers and lessons learned on a PDW implementation and how a successful BI solution was built on top of it using SSAS.
Microsoft Azure Offerings and New Services Mohamed Tawfik
Microsoft Azure offers a wide range of computing services including networking, compute, storage, databases, developer tools, and analytics services. It provides benefits such as pay-as-you-go pricing, quick setup, scalability, redundancy, and high availability. Microsoft has seen incredible growth in Azure due to its ability to convert its large enterprise customer base into Azure customers and build hybrid cloud solutions. The presentation highlights several new Azure services and features in networking, compute, storage, databases, and security.
Data Migration to Azure SQL and Azure SQL Managed Instance - June 19 2020Timothy McAliley
- This document provides information about upcoming webinars on migrating databases to Azure SQL services from June 19th through October 30th. It also lists resources for assessing databases and migrating them to Azure SQL Database or Managed Instance using tools like Azure Database Migration Service, Data Migration Assistant, and SQL Server Management Studio. Contact information is provided to RSVP or find more details on migration strategies and tools.
The cloud is all the rage. Does it live up to its hype? What are the benefits of the cloud? Join me as I discuss the reasons so many companies are moving to the cloud and demo how to get up and running with a VM (IaaS) and a database (PaaS) in Azure. See why the ability to scale easily, the quickness that you can create a VM, and the built-in redundancy are just some of the reasons that moving to the cloud a “no brainer”. And if you have an on-prem datacenter, learn how to get out of the air-conditioning business!
Azure SQL Database for the SQL Server DBA - Azure Bootcamp Athens 2018 Antonios Chatzipavlis
Azure SQL Database is a managed database service hosted in Microsoft's Azure cloud. Some key differences from SQL Server include: the service is paid by the hour based on the selected service tier; users can dynamically scale resources up or down; backups and high availability are managed by the service provider; and common administration tasks are handled by the provider rather than the user. The service offers automatic backups, point-in-time restore, and geo-restore capabilities along with built-in high availability through replication across three copies in the primary region.
Machine learning allows us to build predictive analytics solutions of tomorrow - these solutions allow us to better diagnose and treat patients, correctly recommend interesting books or movies, and even make the self-driving car a reality. Microsoft Azure Machine Learning (Azure ML) is a fully-managed Platform-as-a-Service (PaaS) for building these predictive analytics solutions. It is very easy to build solutions with it, helping to overcome the challenges most businesses have in deploying and using machine learning. In this presentation, we will take a look at how to create ML models with Azure ML Studio and deploy those models to production in minutes.
The document discusses how businesses need to build a data strategy and modernize their data platforms to harness the power of data from diverse and growing sources. It provides examples of how organizations like healthcare and energy companies are using technologies like machine learning, real-time analytics, and predictive modeling on data from various sources to improve outcomes, predict trends, and drive business decisions. The Microsoft data platform is positioned as helping businesses manage both traditional and new forms of data, gain insights faster, and transform into data-driven organizations through offerings like SQL Server, Azure, Power BI, and the Internet of Things.
Ready for take-off - How to get your databases into the cloudAndre Essing
This document discusses options for migrating databases to the cloud using Azure services. It introduces Azure Database Migration Service (DMS) which provides a seamless way to migrate databases from on-premises SQL Server, Oracle and other platforms to Azure SQL Database. It offers pricing information for DMS, noting a limited-time free preview promotion. Additional resources and steps for planning a modern data estate journey to the cloud are outlined.
Dans cette session nous vous présenterons les différentes manières d'utiliser SQL Server dans une infrastructure Cloud (Microsoft Azure). Seront présentés des scénarios hybrides, de migration, de backup, et d'hébergement de bases de données SQL Server en mode IaaS ou PaaS.
Azure Data Factory ETL Patterns in the CloudMark Kromer
This document discusses ETL patterns in the cloud using Azure Data Factory. It covers topics like ETL vs ELT, the importance of scale and flexible schemas in cloud ETL, and how Azure Data Factory supports workflows, templates, and integration with on-premises and cloud data. It also provides examples of nightly ETL data flows, handling schema drift, loading dimensional models, and data science scenarios using Azure data services.
Azure SQL Managed Instance is an intelligent cloud database service combining the broadest SQL Server engine compatibility with the benefits of a fully managed platform as a service.
NOVA SQL MeetUp Webinar Slides - June 5, 2020 Chris Seferlis - Azure SQL Mana...Timothy McAliley
This document provides an overview of Azure SQL Managed Instance, a fully managed SQL Server database service on Azure. It discusses how Managed Instance provides nearly 100% compatibility with on-premises SQL Server while offering the management and maintenance benefits of a PaaS database. Key points include:
- Managed Instance allows lifting and shifting of existing SQL Server databases to Azure with minimal app changes.
- It handles database administration tasks like backups, patching, and high availability, freeing up administrators to focus on higher value work.
- Licensing is included at a lower cost than running SQL Server in virtual machines on Azure or AWS. Additional cost savings options like reserved instances are available.
- The service
This document discusses the future of data and the Azure data ecosystem. It highlights that by 2025 there will be 175 zettabytes of data in the world and the average person will have over 5,000 digital interactions per day. It promotes Azure services like Power BI, Azure Synapse Analytics, Azure Data Factory and Azure Machine Learning for extracting value from data through analytics, visualization and machine learning. The document provides overviews of key Azure data and analytics services and how they fit together in an end-to-end data platform for business intelligence, artificial intelligence and continuous intelligence applications.
SQL Azure provides a relational database as a service on the Windows Azure platform. It aims to be familiar to SQL Server developers by using the same programming model and tools. SQL Azure databases are automatically replicated and scaled to ensure high availability and performance. The initial release will focus on supporting common web and departmental application scenarios. Over time, additional SQL Server capabilities will be added as services on SQL Azure.
Ralph Kemperdick – IT-Tage 2015 – Microsoft Azure als DatenplattformInformatik Aktuell
In dieser Session möchten wir eine Orientierung geben, welche Daten-Services auf Azure die geeignete Plattform für eine App bzw. eine Anwendung sein können. Die Session konzentriert sich auf die Platform as a Service (PaaS) mit einem SQL Interface. Es wird Azure SQL Server, Azure SQL DW, DocumentDB, Stream Analytics, Spark/Scala/Hive und Data Lake Analytics betrachtet und Unterschiede herausgearbeitet. Live Demos begleiten die einzelnen Themen in der Session. Ferner werden Argumente für und gegen Cloud basierte Services diskutiert.
Introduction to microsoft sql server 2008 r2Eduardo Castro
In this presentation we review the new features in SQL 2008 R2.
Regards,
Ing. Eduardo Castro Martinez, PhD
http://comunidadwindows.org
http://ecastrom.blogspot.com
This document provides an overview of using open source databases on Microsoft Azure. It discusses trends in open source databases and how Azure supports popular open source databases like MySQL, MariaDB, and PostgreSQL as fully managed database services. It covers benefits of migrating on-premises or third party databases to Azure databases, including cost savings, global scale, built-in high availability, security, and integration with other Azure services. Migration from commercial databases like Oracle to open source databases on Azure like PostgreSQL is also discussed.
In this session, we explain how the new version of SQL Server will improve database operations, advance security and compliance and bring advanced analytics to all your data workloads.
This document provides an overview of a course on implementing a modern data platform architecture using Azure services. The course objectives are to understand cloud and big data concepts, the role of Azure data services in a modern data platform, and how to implement a reference architecture using Azure data services. The course will provide an ARM template for a data platform solution that can address most data challenges.
Simplify and Accelerate SQL Server Migration to AzureDelphix
Migrating data and applications to the cloud are highly iterative and require repeated test cycles and rapid provisioning to ensure business continuity and smooth operations. Thousands of organizations are faced with the upcoming SQL Server 2008 end of service in July 2019 and have an immediate need to upgrade or migrate while maintaining data security without affecting their business-critical operations.
The document discusses Azure Data Factory and its capabilities for cloud-first data integration and transformation. ADF allows orchestrating data movement and transforming data at scale across hybrid and multi-cloud environments using a visual, code-free interface. It provides serverless scalability without infrastructure to manage along with capabilities for lifting and running SQL Server Integration Services packages in Azure.
The document discusses assessing and planning SQL database migrations to Azure. It outlines the steps involved, including initiating and discovering databases, assessing requirements and dependencies, planning the target platform of IaaS or PaaS, migrating the databases with various tools depending on downtime windows, and optimizing workloads in the cloud. It provides examples of tools like MAP, DMA, and migration options like transactional replication or Azure Database Migration Service.
This document discusses Microsoft Azure and its capabilities. It highlights that Azure has over 100 datacenters globally, with 19 regions currently online. It also notes that Azure has one of the top 3 networks in the world and offers larger VM sizes than AWS or Google Cloud. The document then summarizes some of Azure's core capabilities like compute, storage, databases, analytics and more. It provides examples of how customers can use Azure's tools and services.
Datavail Accelerates AWS Adoption for Sony DADC New Media Solutions PPTAmazon Web Services
Sony DADC New Media Solutions, a large digital media company, discovered they could migrate their SQL Servers to AWS and run them using an Amazon EC2 solution allowed them to replicate their SQL Server environments in multiple AWS Availability Zones (AZ), meaning that if a node failed in one AZ, it could be replicated in another to ensure almost no downtime and improved performance.
This document provides an agenda and summary for a Data Analytics Meetup (DAM) on March 27, 2018. The agenda covers topics such as disruption opportunities in a changing data landscape, transitioning from traditional to modern BI architectures using Azure, Azure SQL Database vs Data Warehouse, data integration with Azure Data Factory and SSIS, Analysis Services, Power BI reporting, and a wrap-up. The document discusses challenges around data growth, digital transformation, and the shrinking time for companies to adapt to disruption. It provides overviews and comparisons of Azure SQL Database, Data Warehouse, and related Azure services to help modernize analytics architectures.
The document discusses new features and enhancements in Microsoft SQL Server 2016 including operational analytics and in-memory performance improvements, security upgrades like Always Encrypted, higher availability with AlwaysOn, improved scalability, access to any data with PolyBase and JSON support, powerful insights on any device with mobile BI, advanced analytics at massive scale, and breakthrough hybrid scenarios with SQL Server in Azure like Stretch Database. It also provides hardware and software requirements.
Similar to Azure SQL DB Managed Instances Built to easily modernize application data layer (20)
The document provides 100 different ways that Yammer can be used within an organization. These include using Yammer to ask questions, share information and updates, coordinate meetings and events, get feedback, welcome new employees, plan trainings, and celebrate accomplishments. The broad range of suggestions show how Yammer can facilitate internal communication and collaboration across departments.
This document provides suggestions for 10 core groups that could be created on a company's Yammer network: CEO Connection, Heritage, Diversity & Inclusion, Emerging Technologies, New Hires, Innovation, Social Groups, Department/Region/Offices, Safety Moments, and Parent Community. For each group, a sample description and potential uses are outlined to provide ideas for how the group could be utilized.
1) The document discusses securing IoT devices and infrastructure through X.509 certificate-based identity and attestation, TLS-based encryption, and secure provisioning and management.
2) It describes securing the cloud infrastructure with Azure Security Center, Azure Active Directory, Key Vault, and policy-based access controls.
3) The document promotes building security into devices and infrastructure from the start through standards-based and custom secure hardware modules.
Visual Studio and Xamarin enable developers to create native Android and iOS apps with world-class tools in a fast, familiar, and flexible way. Join this tour of how you can use your existing C# and .NET skills to create fully native apps on every platform.
Best practices with Microsoft Graph: Making your applications more performant...Microsoft Tech Community
Learn how to take advantage of APIs, platform capabilities and intelligence from Microsoft Graph to make your app more performant, more resilient and more reliable
Build interactive emails for Outlook with Actionable Messages using Adaptive Cards. In this session, you will learn how to code a simple and great looking Actionable Message end-to-end.
As organizations deploy additional security controls to combat today’s evolving threats, integration challenges often limit the return of investment. The new security API in the Microsoft Graph makes it easier for enterprise developers and ISVs to unlock insights from these solutions by unifying and standardizing alerts for easier integration and correlation, bringing together contextual data to inform investigations, and enabling automation for greater SecOps efficiency. We will walk through real world examples of applications that leverage the security API to help customers realize the full value of their security investments.
The document describes a simple workflow that calls an activity function called "SayHello" and passes the parameter "Amsterdam". The activity function returns the string "Hello Amsterdam!". The orchestrator function schedules the activity, waits for it to complete, collects the output, and returns it.
The document describes the process of automatically scaling Azure Container Instances for a game server. It shows how ACIAutoScaler can monitor container usage and dynamically add or remove instances as needed to handle fluctuations in active sessions. When sessions drop below a threshold, ACISetState marks an instance for deletion. Once sessions stop on that instance, ACIGC deletes it to maintain optimal resource usage.
This document discusses NoSQL databases and Azure Cosmos DB. It notes that Cosmos DB supports key-value, column, document and graph data models. It guarantees high availability and throughput while offering customizable pricing based on throughput. Cosmos DB uses the Atom-Record-Sequence data model and provides SQL and table APIs to access and query data. The document provides an example of how 12 relational tables could be collapsed into 3 document collections in Cosmos DB.
This document provides information about building streaming applications. It refers the reader to a website, aka.ms/build-streaming, that explains how to configure input and output bindings as well as triggers to develop streaming applications. The Twitter handle @codemillmatt is mentioned, suggesting this person may provide additional help or resources on the topic.
Real-World Solutions with PowerApps: Tips & tricks to manage your app complexityMicrosoft Tech Community
This document contains PowerApps code that filters a Projects table based on the current user's email and a text search, then sorts the results by City in either ascending or descending order depending on a SortDescending1 variable. It first filters and sorts using the current user email directly from the Office365Users.MyProfile function, then assigns that email to a variable currentUserEmail and uses that for the second filtering and sorting.
This document provides information about various Microsoft products and services including Office 365, Microsoft Graph, Azure, and more. It lists different applications and capabilities available through these services such as Outlook, OneDrive, Teams, SharePoint, Identity Management. It also provides details of several breakout sessions at a conference including titles, dates, start times and descriptions related to building apps using Microsoft services and platforms.
Ingestion in data pipelines with Managed Kafka Clusters in Azure HDInsightMicrosoft Tech Community
This document provides an overview of Apache Kafka on Azure HDInsight, including its key features such as 99.9% availability, support for various development tools, enterprise security features, integration with other Azure services, and examples of how it is used by customers for real-time analytics and streaming workloads. It also includes diagrams illustrating how Kafka works and call-outs about Kafka's scalability, fault tolerance, and pub-sub model.
The document describes the features and capabilities of Visual Studio Tools for AI, an AI developer tool for training models and integrating AI into applications. It can create deep learning projects with frameworks like TensorFlow and CNTK, debug and iterate quickly in Visual Studio. It is integrated with Azure Machine Learning for management of experiments and models, and can scale out training with Azure Batch AI. The tool allows monitoring of training, visualization with TensorBoard, and generation of code from trained models.
This document describes the key features of Azure ML Experimentation which allows users to conduct machine learning experiments by running distributed TensorFlow or CNTK training jobs, perform hyperparameter searches, capture run metrics and models, and compare runs through leaderboards. It also enables using popular IDEs, editors, notebooks and frameworks while running experiments on the cloud.
The document discusses Bing Maps and its features such as high performance rendering of data, developer friendliness with less code needed, and rich features aligned to developer feedback. It also provides information on Bing Maps APIs for routing, distance matrix calculations, isochrones, snapping points to roads, and an open source vehicle tracking solution. Coverage is listed for 60 countries and examples are given of using the APIs for routing optimization and delivery planning.
This document discusses the importance of tracking key business metrics like revenue over time to monitor for patterns and anomalies that could impact business health. It also recommends that developers track service health by monitoring operational metrics of their services to identify anomalies or changes in patterns that may indicate issues.
The document discusses the Microsoft Speech Devices SDK which allows developers to integrate speech recognition and other Microsoft Speech services into hardware devices. The SDK works with various dev kits that have microphone arrays and handles wake word detection and communication with cloud-based speech services. It provides tools to customize the wake word and experience. The document outlines the process a developer would go through to evaluate, try out, and integrate the SDK and speech services into their own application and ambient device.
Scaling Connections in PostgreSQL Postgres Bangalore(PGBLR) Meetup-2 - MydbopsMydbops
This presentation, delivered at the Postgres Bangalore (PGBLR) Meetup-2 on June 29th, 2024, dives deep into connection pooling for PostgreSQL databases. Aakash M, a PostgreSQL Tech Lead at Mydbops, explores the challenges of managing numerous connections and explains how connection pooling optimizes performance and resource utilization.
Key Takeaways:
* Understand why connection pooling is essential for high-traffic applications
* Explore various connection poolers available for PostgreSQL, including pgbouncer
* Learn the configuration options and functionalities of pgbouncer
* Discover best practices for monitoring and troubleshooting connection pooling setups
* Gain insights into real-world use cases and considerations for production environments
This presentation is ideal for:
* Database administrators (DBAs)
* Developers working with PostgreSQL
* DevOps engineers
* Anyone interested in optimizing PostgreSQL performance
Contact info@mydbops.com for PostgreSQL Managed, Consulting and Remote DBA Services
Coordinate Systems in FME 101 - Webinar SlidesSafe Software
If you’ve ever had to analyze a map or GPS data, chances are you’ve encountered and even worked with coordinate systems. As historical data continually updates through GPS, understanding coordinate systems is increasingly crucial. However, not everyone knows why they exist or how to effectively use them for data-driven insights.
During this webinar, you’ll learn exactly what coordinate systems are and how you can use FME to maintain and transform your data’s coordinate systems in an easy-to-digest way, accurately representing the geographical space that it exists within. During this webinar, you will have the chance to:
- Enhance Your Understanding: Gain a clear overview of what coordinate systems are and their value
- Learn Practical Applications: Why we need datams and projections, plus units between coordinate systems
- Maximize with FME: Understand how FME handles coordinate systems, including a brief summary of the 3 main reprojectors
- Custom Coordinate Systems: Learn how to work with FME and coordinate systems beyond what is natively supported
- Look Ahead: Gain insights into where FME is headed with coordinate systems in the future
Don’t miss the opportunity to improve the value you receive from your coordinate system data, ultimately allowing you to streamline your data analysis and maximize your time. See you there!
Navigating Post-Quantum Blockchain: Resilient Cryptography in Quantum Threatsanupriti
In the rapidly evolving landscape of blockchain technology, the advent of quantum computing poses unprecedented challenges to traditional cryptographic methods. As quantum computing capabilities advance, the vulnerabilities of current cryptographic standards become increasingly apparent.
This presentation, "Navigating Post-Quantum Blockchain: Resilient Cryptography in Quantum Threats," explores the intersection of blockchain technology and quantum computing. It delves into the urgent need for resilient cryptographic solutions that can withstand the computational power of quantum adversaries.
Key topics covered include:
An overview of quantum computing and its implications for blockchain security.
Current cryptographic standards and their vulnerabilities in the face of quantum threats.
Emerging post-quantum cryptographic algorithms and their applicability to blockchain systems.
Case studies and real-world implications of quantum-resistant blockchain implementations.
Strategies for integrating post-quantum cryptography into existing blockchain frameworks.
Join us as we navigate the complexities of securing blockchain networks in a quantum-enabled future. Gain insights into the latest advancements and best practices for safeguarding data integrity and privacy in the era of quantum threats.
Transcript: Details of description part II: Describing images in practice - T...BookNet Canada
This presentation explores the practical application of image description techniques. Familiar guidelines will be demonstrated in practice, and descriptions will be developed “live”! If you have learned a lot about the theory of image description techniques but want to feel more confident putting them into practice, this is the presentation for you. There will be useful, actionable information for everyone, whether you are working with authors, colleagues, alone, or leveraging AI as a collaborator.
Link to presentation recording and slides: https://bnctechforum.ca/sessions/details-of-description-part-ii-describing-images-in-practice/
Presented by BookNet Canada on June 25, 2024, with support from the Department of Canadian Heritage.
Video traffic on the Internet is constantly growing; networked multimedia applications consume a predominant share of the available Internet bandwidth. A major technical breakthrough and enabler in multimedia systems research and of industrial networked multimedia services certainly was the HTTP Adaptive Streaming (HAS) technique. This resulted in the standardization of MPEG Dynamic Adaptive Streaming over HTTP (MPEG-DASH) which, together with HTTP Live Streaming (HLS), is widely used for multimedia delivery in today’s networks. Existing challenges in multimedia systems research deal with the trade-off between (i) the ever-increasing content complexity, (ii) various requirements with respect to time (most importantly, latency), and (iii) quality of experience (QoE). Optimizing towards one aspect usually negatively impacts at least one of the other two aspects if not both. This situation sets the stage for our research work in the ATHENA Christian Doppler (CD) Laboratory (Adaptive Streaming over HTTP and Emerging Networked Multimedia Services; https://athena.itec.aau.at/), jointly funded by public sources and industry. In this talk, we will present selected novel approaches and research results of the first year of the ATHENA CD Lab’s operation. We will highlight HAS-related research on (i) multimedia content provisioning (machine learning for video encoding); (ii) multimedia content delivery (support of edge processing and virtualized network functions for video networking); (iii) multimedia content consumption and end-to-end aspects (player-triggered segment retransmissions to improve video playout quality); and (iv) novel QoE investigations (adaptive point cloud streaming). We will also put the work into the context of international multimedia systems research.
Implementations of Fused Deposition Modeling in real worldEmerging Tech
The presentation showcases the diverse real-world applications of Fused Deposition Modeling (FDM) across multiple industries:
1. **Manufacturing**: FDM is utilized in manufacturing for rapid prototyping, creating custom tools and fixtures, and producing functional end-use parts. Companies leverage its cost-effectiveness and flexibility to streamline production processes.
2. **Medical**: In the medical field, FDM is used to create patient-specific anatomical models, surgical guides, and prosthetics. Its ability to produce precise and biocompatible parts supports advancements in personalized healthcare solutions.
3. **Education**: FDM plays a crucial role in education by enabling students to learn about design and engineering through hands-on 3D printing projects. It promotes innovation and practical skill development in STEM disciplines.
4. **Science**: Researchers use FDM to prototype equipment for scientific experiments, build custom laboratory tools, and create models for visualization and testing purposes. It facilitates rapid iteration and customization in scientific endeavors.
5. **Automotive**: Automotive manufacturers employ FDM for prototyping vehicle components, tooling for assembly lines, and customized parts. It speeds up the design validation process and enhances efficiency in automotive engineering.
6. **Consumer Electronics**: FDM is utilized in consumer electronics for designing and prototyping product enclosures, casings, and internal components. It enables rapid iteration and customization to meet evolving consumer demands.
7. **Robotics**: Robotics engineers leverage FDM to prototype robot parts, create lightweight and durable components, and customize robot designs for specific applications. It supports innovation and optimization in robotic systems.
8. **Aerospace**: In aerospace, FDM is used to manufacture lightweight parts, complex geometries, and prototypes of aircraft components. It contributes to cost reduction, faster production cycles, and weight savings in aerospace engineering.
9. **Architecture**: Architects utilize FDM for creating detailed architectural models, prototypes of building components, and intricate designs. It aids in visualizing concepts, testing structural integrity, and communicating design ideas effectively.
Each industry example demonstrates how FDM enhances innovation, accelerates product development, and addresses specific challenges through advanced manufacturing capabilities.
How Netflix Builds High Performance Applications at Global ScaleScyllaDB
We all want to build applications that are blazingly fast. We also want to scale them to users all over the world. Can the two happen together? Can users in the slowest of environments also get a fast experience? Learn how we do this at Netflix: how we understand every user's needs and preferences and build high performance applications that work for every user, every time.
Are you interested in learning about creating an attractive website? Here it is! Take part in the challenge that will broaden your knowledge about creating cool websites! Don't miss this opportunity, only in "Redesign Challenge"!
Paradigm Shifts in User Modeling: A Journey from Historical Foundations to Em...Erasmo Purificato
Slide of the tutorial entitled "Paradigm Shifts in User Modeling: A Journey from Historical Foundations to Emerging Trends" held at UMAP'24: 32nd ACM Conference on User Modeling, Adaptation and Personalization (July 1, 2024 | Cagliari, Italy)
Hire a private investigator to get cell phone recordsHackersList
Learn what private investigators can legally do to obtain cell phone records and track phones, plus ethical considerations and alternatives for addressing privacy concerns.
Fluttercon 2024: Showing that you care about security - OpenSSF Scorecards fo...Chris Swan
Have you noticed the OpenSSF Scorecard badges on the official Dart and Flutter repos? It's Google's way of showing that they care about security. Practices such as pinning dependencies, branch protection, required reviews, continuous integration tests etc. are measured to provide a score and accompanying badge.
You can do the same for your projects, and this presentation will show you how, with an emphasis on the unique challenges that come up when working with Dart and Flutter.
The session will provide a walkthrough of the steps involved in securing a first repository, and then what it takes to repeat that process across an organization with multiple repos. It will also look at the ongoing maintenance involved once scorecards have been implemented, and how aspects of that maintenance can be better automated to minimize toil.
this resume for sadika shaikh bca studentSadikaShaikh7
I am a dedicated BCA student with a strong foundation in web technologies, including PHP and MySQL. I have hands-on experience in Java and Python, and a solid understanding of data structures. My technical skills are complemented by my ability to learn quickly and adapt to new challenges in the ever-evolving field of computer science.
MYIR Product Brochure - A Global Provider of Embedded SOMs & SolutionsLinda Zhang
This brochure gives introduction of MYIR Electronics company and MYIR's products and services.
MYIR Electronics Limited (MYIR for short), established in 2011, is a global provider of embedded System-On-Modules (SOMs) and
comprehensive solutions based on various architectures such as ARM, FPGA, RISC-V, and AI. We cater to customers' needs for large-scale production, offering customized design, industry-specific application solutions, and one-stop OEM services.
MYIR, recognized as a national high-tech enterprise, is also listed among the "Specialized
and Special new" Enterprises in Shenzhen, China. Our core belief is that "Our success stems from our customers' success" and embraces the philosophy
of "Make Your Idea Real, then My Idea Realizing!"
5. IDC Worldwide Database Server Forecast
1 Pie Chart *IDC Worldwide DB Forecast Dec 2016
2 Microsoft Internal Sources
SQL Server
37% of all units run Microsoft,
>50% of units run 2008/R2 or older2
IT OPTIMIZATION IS KEY TO DIGITAL TRANSFORMATION
Priorities
• Eliminate time spent managing
“long tail” of applications—lift
and shift to managed cloud
• Free up limited IT resources to
drive transformation
• Migrate business critical apps
to cloud—extend and innovate
6. Seamless and compatibleBuilt-in intelligence Competitive TCO
AZURE SQL DATABASE
Breakthrough productivity
and performance
THE BEST AND MOST ECONOMICAL CLOUD
DESTINATION FOR YOUR SQL SERVER APPS
Realize up to a 406% ROI over on-premises and hosted solutions
7. “We had an incident lasting for about
6 months. Before Intelligent insights
we have not had a way of figuring out
where do we even start
troubleshooting. Intelligent Insights
gave us a list of things to do. What
Intelligent Insight does is that it
enables us to pinpoint where the
problem is and to get a fix deployed
within 24hrs.”
Frans Lytzen – CTO, New Orbit
““Intelligent Insights proactively
finds a database performance
problem in a more efficient way
and much faster than humans.
With it we can proactively help
customers until we have a fix
for the problem.”, Bauke Stil,
Application Manager, SnelStart
Bauke Stil, App Manager, SnelStart
“SQL Threat Detection helps us to
be ahead of the threats instead
of chasing them.”
Shahin Kohan, CTO
154PB
total size
4.1MILLION
databases
421K
subscriptions
3TRILLION
batch requests/day
1.4MILLION
HTAP transactions/sec
100MILLION
queries analyzed/hour
“SQL Threat Detection helps us
respond to activities, which were
not visible beforehand.”
Manrique Logan, architect & technical
lead
AZURE SQL DATABASE MOMENTUM
8. INTRODUCING AZURE SQL DATABASE MANAGED INSTANCE
Best for modernization at
scale with low cost and effort
Elastic PoolSingleSQL
Managed
Instance (preview)
SQL
Azure SQL Database
Instance-scoped programming
model with high compatibility
to SQL Server
Standalone managed
database for predictable and
stable workloads
Shared resource model for
greater efficiency through
multi-tenancy
9. SQL Server
compatibility
• Fully-fledged SQL
instance with nearly
100% compat with
on-prem
Fully managed
DBaaS
• Built on the same
infrastructure as
SQL DB
• All DBaaS features
Full isolation and
security
• Contained within
your VNet
• Private IP addresses
• Express Route /
VPN connectivity
New deployment option that
enables friction-free migration for
SQL workloads and modernization in
a fully managed service
SQL Database
(PaaS)
Elastic
Pool
Managed
Instance
Single
database
New business
model
• Transparent
• Frictionless
• Competitive
11. S AV E T I M E W I T H
FA M I L I A R S Q L
S E R V E R TO O L S A N D
R E S O U R C E S
Eliminate app changes with full SQL Server
programming surface
Use familiar SQL Server features in Managed
Instances
Native backup and restore
Cross-database queries and transactions
Security features including Transparent Data Encryption,
SQL Audit, Always Encrypted and Dynamic Data Masking
SQL Agent, DBMail, for workload orchestration improved
awareness
Scenario enablers: Change Data Capture, Service Broker,
Transactional Replication, and CLR
DMVs, XEvents, and Query Store for troubleshooting
Full compatibility with SQL Server 2005+
12. B U S I N E S S
I N T E L L I G E N C E
S E R V I C E S
Not installed side-by-side with Managed
Instance
Migrate your SSIS packages to new SSIS on
Azure Data Factory (PaaS service)
Migrate your OLAP models to Azure Analysis
Services
… or run these services in Azure virtual
machines
For SSRS: run in a virtual machine, or switch to
Power BI
Recommendation - move BI solutions to PaaS model
SSIS / SSAS
SSIS / SSAS PaaS
PowerBI
13. L I F T Y O U R S Q L
S E R V E R I N T E G R AT I O N
S E R V I C E S ( S S I S )
PA C K A G E S TO A Z U R E
Easily execute and schedule your SQL Server
Integration Services (SSIS) packages in managed
execution environment for SSIS in Azure Data
Factory version 2 (ADF v2)
Gain high availability, scalability and lower TCO
by lifting your SSIS packages to Azure
Continue to build, monitor and manage packages
with existing tools like SQL Server Management
Studio (SSMS) & SQL Server Data Tools (SSDT)
You can install both free or unlicensed
components, and paid or licensed components
Azure Data Factory
SSIS ETL
Data sources
SQL Database
Managed Instance
SQL Server
SQL
Data sources
SQL
SSIS ETL
SSIS Integration Runtime
VNET
Cloud
On-premises
Learn more
14. On-prem network
SQL Server
2005 - 2017
Assessment tools
SSMA & DMA
Cloud network
SQL My
My
Azure
DMS
VPN or Express Route
Internet
SQL
SQL
16. C O M P E T I T I V E TOTA L
C O S T O F
O W N E R S H I P
Managed Instance will incrementally deliver following
capabilities:
Automatic and easy instance provisioning
Automatic patching and upgrades
Protecting data with automated backups
Built-in high availability (99.99%)
Easy to configure disaster recovery
Compliance with security standards
Secure your data from malicious users and mistakes
Monitor, troubleshoot and tune for predictable
performance (on the roadmap)
Adapted from The Business Value of Microsoft Azure SQL Database Services, IDC, March 2015.
Up to 406% ROI with Azure SQL Database
Focus on your business and let platform manage
your databases
18. D E D I C AT E D
R E S O U R C E S T H R O U G H
C U S TO M E R I S O L AT I O N
Enable full isolation from other tenants without
resource sharing
Promote secure communication over private IP
addresses with native VNet integration
Enable your on-premise identities on cloud
instances, through integration with Azure Active
Directory and AD Connect
Optional public endpoint is coming later this year
VNET support in SQL Database Managed Instance
27. R I G H T - S I Z E Y O U R
W O R K LO A D S F O R
T H E C LO U D
Easier to right-size the destination environment by
removing the guesswork of DTUs
You pay only for what you use
A virtual core represents the logical CPU offered with
an option to choose between generations of hardware
Gen 4 Logical CPUs are based on Intel E5-2673 v3
(Haswell) 2.4 GHz processors.
Gen 5 Logical CPUs are based on Intel E5-2673 v4
(Broadwell) 2.3 GHz processors.
Introducing vCores
28. C H O O S E T H E B E S T
O P T I O N F O R Y O U R
W O R K LO A D S
Choose compute resources and storage
independently
Balance SLA requirements and price with two
service tiers
Customers pay for:
Compute (vCores)
Type and amount of storage
Number of IO (in GA)
Back-ups (in GA)
Learn more
Two Managed Instance options
GENERAL PURPOSE BUSINESS CRITICAL*
Best for Data applications with
common IO and availability
requirements
Business critical data
applications with fast IO and
high availability requirements
Compute tiers 8, 16, 24, 32, 40 vCores 8, 16, 24, 32, 40 vCores
Storage Fast remote storage
32GB – 8TB per instance
Super-fast local SSD storage
32GB – 4TB per instance
Availability 1 replica, no read-scale 3 replicas, 1 read-scale
Surface area Full (except In-memory OLTP) Full
29. E X C L U S I V E TO A Z U R E :
G E T M O R E F O R Y O U R
V I R T U A L I Z E D
W O R K LO A D S
Take an inventory of on-premises licenses to
determine potential for conversion
Convert on-premises cores to vCores to maximize
value of investments
1 Standard license core = 1 General Purpose core
1 Enterprise license core = 1 Business Critical core
1 Enterprise license core = 4 General Purpose cores
(virtualization benefit)
SQL Server license trade-in values
SQL Database Managed Instance
SQL Server with Software Assurance
Business Critical General Purpose
Enterprise Edition Standard Edition
OR
General Purpose
Highly virtualized,
Enterprise Edition
31. Start provisioning request in
Azure Portal and accept the
preview terms
AZURE SQL DATABASE
MANAGED INSTANCE
PREVIEW
Notification (3
business days)
Complete
provisioning
request in
portal
SQL
Submit a provisioning request for Managed Instance
via Azure portal, accept the preview terms and complete
the short form.
You will receive a response from Microsoft within 3
working days
Once approved, return to the portal to complete the
provisioning request
Managed Instance created within 2-3 working days
upon completing the provisioning request
During public preview full production support
provided for General Purpose Service tier
Azure Support plans
How to create Azure support request
https://aka.ms/sqldbclassessment
Complete survey (optional)
SQL
Managed
Instance
created
(3-5 days)
Enroll today in Managed Instance preview
32. “We were able to migrate an app
with zero friction to a Managed
Instance, with features like CLR
and SQL Agent just working.
Database Migration Service will be
crucial for pulling off migrations
like this at scale.”
Sankar G. Prayaga
Lead Engineer, EY
33. “SQL Managed Instance is that happy medium
we were looking for. We needed the power and
compatibility of SQL Server, but without the
management overhead and cost that comes
with running VMs 24x7. Not only will we get that
power and ease of management, we’ll also be
able to use the Azure Hybrid Use benefit, which
allows us to use our existing SQL Server
licensing through Software Assurance.
Developing, deploying and managing our
application is getting a whole lot easier and
cheaper with Azure and SQL Managed Instance.”
Robert Shurbet
Pivot Technology Solutions
34. TA K E AWAY S
• Managed Instance Announcement blog
• SQL Database Managed Instance
• Azure Hybrid Benefit for SQL Server
• Azure Database Migration Service
• Migration Guide
• Migrate to SQL Database Managed Instance
• SQL Server Integration Services
• Azure SQL Database
Managed Instance is the best DBaaS destination
for all SQL workloads, enabling frictionless
migration
Ultimate SQL Server compatibility
Full DBaaS capability set for optimal TCO
Full networking isolation and security
Transparent business model
Learn more