Keynote: SQL Edge To Cloud
(Principal Architect, Microsoft, USA)
(Applied Data Scientist, Microsoft, USA)
Microsoft Training Classes
Getting The Best Out Of SQL Managed Instance In 2021
by Niko Neugebauer, Vitor Tomaz, Vitor Pombeiro, Nevena Nikolic
Data Engineering Best Practices Using Azure Data Factory
by Abhishek Narain, Sunil Sabat, Linda Wang
An End To End Migration And Modernization Journey Of Your Applications And Workloads To Azure
by Ajay Jagannathan, Raj Pochiraju, Rajesh Setlem, Alexandra Ciortea, Mohamed Kabiruddin
Women-In-Technology Round Table Panel
(Director of PM, Microsoft, USA)
(Program Manager, Microsoft, USA)
(Program Manager, Microsoft, USA)
(Product Manager, Microsoft, USA)
(Program Manager, Microsoft, USA)
Microsoft Breakout Sessions
|Session Type (required)||Session Title (required)||Speaker(s) Name (required)||Track (required)||Abstract (required)|
|Keynote||SQL Edge To Cloud||Bob Ward, Anna Hoffman, Buck Woody||Keynote||SQL is everywhere you need it from the IoT Edge to your data center to public clouds. With all of these options, it can be difficult to know which to choose and why each option may be right for your data needs. In this presentation, we'll review with you all the current released and preview versions of SQL from the edge to the cloud. We'll compare each of them and discuss why you want to get ahead of the curve by understanding what is possible with the modern SQL data platform. We'll discuss the technical details of some of these options so you can understand what SQL "flavor" fits your company's needs. This session will include some demos to highlight key innovations with SQL.|
|Breakouts - 75 mins (60 mins + 15 mins Q&A) - Slides + Demos||Azure Arc enabled data services||Dinakar Nethi||Data Administration||This session will cover Microsoft's latest offering in the Hybrid space - Azure Arc. Come find out what is Azure Arc enabled data services, what is the value proposition, what is the benefit for customers, what does the architecture look like, etc. There will be demos!|
|Breakouts - 75 mins (60 mins + 15 mins Q&A) - Slides + Demos||Data Replication in Azure SQL and Beyond||Alain Dormehl; |
|Data Administration||This session will cover data replication technologies such as CDC (with a focus on CDC in SQL DB), SQL Data Sync, transactional replication, and more. The topics covered will include common use cases, benefits/limitations, demos for each of the products covered.|
|Breakouts - 75 mins (60 mins + 15 mins Q&A) - Slides + Demos||Let's talk Monitoring !||Alain Dormehl; |
|Architecture||Come and learn from Anna and Alain, and maybe some special guests, about the latest Microsoft monitoring features for SQL. We will walk through the current product landscape, explain the current options, talk about the best options for customers, current industry trends and even look at some of the roadmap items for monitoring. This will be a session jam packed with demos and some really great features !|
|Breakouts - 75 mins (60 mins + 15 mins Q&A) - Slides + Demos||Latest Access Control enhancements in Azure SQL||Andreas Wolter||Data Administration||Learn about the latest enhancements in the authentication and authorization space for Azure SQL that help you adhere to the Principle of Least Privilege when granting access to Database resources, and how to do it in a scalable way.|
|Breakouts - 75 mins (60 mins + 15 mins Q&A) - Slides + Demos||Azure SQL Database High availability & Disaster recovery||Roberto Bustos|
|Data Administration||This session will dive into Azure SQL Database High Availability and Disaster Recovery features including zone redundancy and geo replication. Come and share your expertise and feedback directly with the engineering team while also learning about the latest in HA/DR for Azure SQL Database.|
|Breakouts - 75 mins (60 mins + 15 mins Q&A) - Slides + Demos||What's new in Azure's path to an Intelligent Database||Pedro Lopes||Development||Azure SQL DB and SQL Server introduced ground-breaking query performance enhancements under the Intelligent Query Processing family in the past few years. |
These make up the latest on Microsoft’s mission to make critical parallel workloads improve when running at scale, while remaining adaptive to the constantly changing world of data!
Now join us to find about what's coming in this new intelligent database world!
|Breakouts - 75 mins (60 mins + 15 mins Q&A) - Slides + Demos||Protecting your data from tampering with Azure SQL Database ledger||Jason Anderson||Data Administration||How can you rely on your business critical data if you can't ensure that it has not been tampered with? Blockchain has been a destination for many customers who want data immutability, but blockchain is targeted at decentralized multi-party business processes. How do you get the immutability benefits blockchain offers if your system is centralized? |
Azure SQL Database ledger is a new capability that uses the same cryptographic patterns employed in blockchains to protect your data from tampering. Join this session to understand how the ledger feature works, and how you can use it to build the digital trust you need in your data.
|Breakouts - 75 mins (60 mins + 15 mins Q&A) - Slides + Demos||SQL Server on Azure Virtual Machines Reimagined: Overview||Pam Lahoud, David Pless, Aditya Badramraju & Rajesh Setlem||Data Administration||Running SQL Server in an Azure virtual machine gives you the same capabilities and experience you are used to with on-premises SQL Server, plus the additional ease of use and management benefits available only on Azure. In this session, we will discuss the SQL Server in Azure VM experience, including some new features of the SQL Server IaaS Extension that help you optimize cost, enhance security, improve manageability and increase uptime for your SQL Servers in Azure. Expect a focused session on best practices and proven methods to get the most out of your Azure SQL VM experience.|
|Breakouts - 75 mins (60 mins + 15 mins Q&A) - Slides + Demos||SQL Server on Azure Virtual Machines Reimagined: Sizing Deep Dive||Pam Lahoud|
|Data Administration||Typically, you choose a VM when your application requires more control over the computing environment than the other platform-as-a-service options offer. This can be due to vendor requirements, familiarity with virtualization, ease of migration and other scenarios. When selecting a virtual machine to host your SQL Server workload in Azure, you need to choose a virtual machine size that provides optimal performance and fits your organization’s budget. In this session, we will cover topics such as the different virtual machine types that are most appropriate for SQL Server workloads, optimal memory-to-core ratios for various workload types, and features unique to Azure such as write acceleration that can help boost your performance without breaking the bank. We will also cover the Azure Virtual Machine naming conventions and how you can quickly identify a given machines capabilities from the virtual machine series name. We will close out the discussion with a review of virtual machine disks and storage limits that will be a precursor to the next deep dive session on Azure SQL VM storage.|
|Breakouts - 75 mins (60 mins + 15 mins Q&A) - Slides + Demos||SQL Server on Azure Virtual Machines Reimagined: Storage Deep Dive||Pam Lahoud|
|Data Administration||Optimizing Virtual Machine storage is one of the most critical areas to master when considering a migration to Azure SQL Virtual Machine. Azure virtual machines have input/output operations per second (IOPS) and throughput performance limits based on the virtual machine type and size. Additionally, OS disks and data disks will have their own IOPS and throughput limits. Workloads can be limited at either the virtual machine or the disk level. In this session we demystify storage and how VM sizing will impact performance limits. We will cover what you should consider when choosing Azure disks and storage pool configurations. We will discuss Storage Spaces and Storage Pools. We will also simplify the correct block level, interleave, and the NumberofColumns settings necessary for an optimized storage configuration. Finally, we will review how to monitor IOPs and throughput limits of your virtual machine, the underlying disks, and the caching capabilities of the ephemeral disks and the storage cache. |
Get ready, this is one of the most important sessions to get the best performance out of your Azure virtual machine deployment!
|Breakouts - 75 mins (60 mins + 15 mins Q&A) - Slides + Demos||Notebooks deep dive session||Julie Koesmarno|
|Data Administration||In this session, we will cover lessons learned during our journey in using Azure Data Studio Notebooks internally in SQL org and what it means for external customers. We’ll cover executable and automatable Troubleshooting Guides (TSGs aka. Playbook/Run Book) for external customers and internal customers. Finally, we’ll show you recent Notebook features/improvements in Azure Data Studio based on these lessons learned.|
|Breakouts - 75 mins (60 mins + 15 mins Q&A) - Slides + Demos||Protect your SQL assets anywhere with Azure Defender for SQL||David Trigano, Michael Makhlevich||Data Administration||SQL assets are critical resources and contain the most precious information a company owns, which makes them one of the preferred target for attackers. Protecting them across the environments can be challenging and requires multiple skills to deploy, manage, and remediate those precious resources. In this session, you will learn how Azure Defender for SQL protects your SQL anywhere, and offers capabilities to discover misconfigurations and raise alerts in case of usual activities across every flavor or SQL you are using today, in any environment.|
|Breakouts - 75 mins (60 mins + 15 mins Q&A) - Slides + Demos||Inside Azure SQL Managed Instance||Bob Ward|
|Data Administration||SQL Server professionals are looking to modernize all aspects of their data platform. Azure SQL Managed Instance is a fully managed database service for those looking to modernize SQL Server in the cloud. Azure SQL Managed Instance includes almost the complete surface area of a SQL Server instance but saves you time and effort with a versionless server and powerful built-in HADR capabilities.|
|Breakouts - 75 mins (60 mins + 15 mins Q&A) - Slides + Demos||What’s new in Azure SQL||Anna Hoffman||Data Administration||Join this session to get all the updates on what’s new in Azure SQL in 2021. You’ll learn about updates containing all things SQL Server and Azure SQL. This not-to-miss session will include demos and a sneak peak at the future!|
|Breakouts - 75 mins (60 mins + 15 mins Q&A) - Slides + Demos||Develop serverless, full stack apps with Azure SQL||Anna Hoffman||Development||Learn how to create, build, and deploy modern full stack applications in Azure by using the language of your choice (Python, Node.js, or .NET) and with a Vue.js frontend. Topics covered include modern database capabilities, CI/CD and DevOps, backend API development, REST, and more. Using a real-world scenario of trying to catch the bus, you will learn how to build and architect solutions that use Azure SQL Database, Azure Functions, Azure Static Web Apps, Logic Apps, Visual Studio Code, and GitHub Actions.|
|Demo-Only - 60 mins (45 mins + 15 mins Q&A) - Demos Only (max one slide)||Azure SQL Edge : Real-time analysis of IoT Data||Sourabh Agarwal, Vasiya Krishnan||Data Administration||In this session, we will be designing an end to end IoT solution for real time data analysis. This is a demo-only session where we will take you from |
1. Setting up the sensors
2. Streaming the data from sensors to the Azure SQL Edge module
3. Conducting real-time analysis using the Time-series/AI/ML features in Azure SQL Edge
4.Data visualization and managing Azure SQL Edge across multiple devices
|Breakouts - 75 mins (60 mins + 15 mins Q&A) - Slides + Demos||What's new with Azure Data Factory||Wee Hyong Tok|
|Business Intelligence & Advanced Analytics||Azure Data Factory is Azure's cloud ETL service for scale-out serverless data integration and data transformation. It offers a code-free UI for intuitive authoring and single-pane-of-glass monitoring and management. You can also lift and shift existing SSIS packages to Azure and run them with full compatibility in ADF. In this session, you'll learn what's news with Azure Data Factory, and resources to help you get started, and be productive with ADF.|
|Breakouts - 75 mins (60 mins + 15 mins Q&A) - Slides + Demos||Inside Serverless SQL pools in Azure Synapse Analytics||Bob Ward;|
|Architecture||Azure Synapse Analytics is the first unified, cloud native platform for converged analytics. As a cloud data warehouse, Synapse provides traditional warehouse capabilities but evolves this feature set to include big data processing and data integration in a single cloud service. Synapse SQL is the ability to do T-SQL based analytics in Synapse workspace. As part of this capability, Synapse supports serverless SQL pools. In this session, we will dive into how Serverless SQL pools let you use SQL without having to reserve capacity. You will learn how Serverless SQL pools work, how you can use the familiar T-SQL language to query data lake assets, and Serverless SQL pools use a distributed data processing system, built for large-scale data and computational functions.|
|Breakouts - 75 mins (60 mins + 15 mins Q&A) - Slides + Demos||Near Real Time Data Analytics with ADF||Sunil Sabat||Business Intelligence & Advanced Analytics||This session will cover how ADF can be used to orchestrate twitter data ingestion with EventHubs and perform PoweBI lead analytics in realtime. We will also cover how Tweeter data can be shaped with Synapse Warehouse to deliver enterprise analytics at scale, all on the foundation of Azure Data Factory.|
|Breakouts - 75 mins (60 mins + 15 mins Q&A) - Slides + Demos||New Enterprise-Friendly Features for SSIS in Azure Data Factory||Sandy Winarko||Business Intelligence & Advanced Analytics||This session will cover new enterprise-friendly features for SQL Server Integration Services (SSIS) in Azure Data Factory (ADF), such as express virtual network (VNet) injection, dual standby SSIS integration runtime (IR) pair for business continuity & disaster recovery (BCDR), Azure Monitor/Purview integrations, SSIS DevOps tools for continuous integration & continuous delivery (CI/CD), Azure-enabled SQL Server Data Tools (SSDT) to assess/test/migrate SSIS packages, ADF templates to run SQL/any process anywhere in 3 easy steps, etc.|
|Breakouts - 75 mins (60 mins + 15 mins Q&A) - Slides + Demos||Unified Data Governance with Azure Purview||Gaurav Malhotra||Business Intelligence & Advanced Analytics||Azure Purview is a unified data governance service that helps you manage and govern your on-premises, multicloud, and software-as-a-service (SaaS) data. Easily create a holistic, up-to-date map of your data landscape with automated data discovery, sensitive data classification, and end-to-end data lineage. Empower data consumers to find valuable, trustworthy data. During this we will showcase the power of Azure Purview as a unified data governance service. Both existing capabilities and roadmap items will be discussed.|
|Breakouts - 75 mins (60 mins + 15 mins Q&A) - Slides + Demos||Azure Synapse Analytics: Overview, Updates, & Roadmap||Saveen Reddy||Business Intelligence & Advanced Analytics||Azure Synapse Analytics become generally available in December 2020. Since then we've seen tremendous growth in usage and interest in using it to deliver enterprise analytics. At the same time, Azure Synapse is delivering more and more capabilities that help make it a one-stop solution for analytics. The volume of the service, dive deep into the latest key capabilities, and explore the roadmap of what's coming and what is top-of-mind for the Synapse engineering team.|
|Breakouts - 75 mins (60 mins + 15 mins Q&A) - Slides + Demos||Azure SQL readiness assessment and migration from Azure Data Studio||Mohamed Kabiruddin;|
|Data Administration||In this session we will walk you through database assessment and migration using Azure Data Studio that will assist in seamlessly migrating your SQL Server databases to Azure SQL. The session will guide you through migration process on how to determine readiness of your SQL Server instances, identify a recommended target, and complete the migration to Azure SQL using Azure Data Studio.|
|Breakouts - 75 mins (60 mins + 15 mins Q&A) - Slides + Demos||Discover, assess Azure SQL readiness of SQL Server data estate at scale using Azure Migrate service||Raj Pochiraju|
|Data Administration||Come and join our latest Azure Migrate innovations, a seamless discovery and assessment of your SQL Server data estate at scale. Learn how Microsoft makes your migration and modernization decision making easy by providing the target Azure SQL deployment option and sizing recommendations using Azure Migrate. You can also get the monthly pricing estimates migrating to Azure SQL.|
|Breakouts - 75 mins (60 mins + 15 mins Q&A) - Slides + Demos||Database Modernization Best Practices & Lessons Harvested from Customer Engagements||Raj Pochiraju|
|Data Administration||In this session you’ll learn the real-world ins-and-outs of how we successfully migrate customers to Azure data platform. You learn, customer migration patterns, FUDs, IP & migration tools that worked in our customer migrations and modernization engagements. We also share few recent customer evidence, what worked and not.|
|Breakouts - 75 mins (60 mins + 15 mins Q&A) - Slides + Demos||Modernize your Oracle workloads to Azure SQL||Alexandra Ciortea||Data Administration||Are you looking to leave Oracle behind? Join us to find out how to accelerate the migration journey by automating Oracle migrations to SQL Server using 1st party tools as SQL Server Migration Assistant and Data Access Migration Tool|
|Breakouts - 75 mins (60 mins + 15 mins Q&A) - Slides + Demos||Inside the Memory of SQL||Bob Ward||Data Administration||This will be the brain melting session for the event. In this session I'll describe how SQL Server memory management works including architecture, limits, and how you can configure and monitor memory usage. I'll also describe differences in memory management for SQL Server on Linux and Azure SQL.|
|Breakouts - 75 mins (60 mins + 15 mins Q&A) - Slides + Demos||What's New in SQL Tools for Developers||Drew Skwiers-Koballa|
|Development||With the growth of cross platform environments and DevOps for databases, now is a great time to learn about database development in Azure Data Studio and VS Code. Learn the latest updates to the tooling features for developers working with SQL Server in this demo-heavy session presented by the team that is creating these features, covering SQL Projects, Azure Data Studio, SqlPackage, VSCode and more.|
|Breakouts - 75 mins (60 mins + 15 mins Q&A) - Slides + Demos||SQL Server on Linux- Deployments made easy!||Amit Khandelwal||Data Administration||This is going to be a fast paced demo filled session, where we spend time on how you can automate the SQL Server deployments across Azure Linux VMs. We also will talk about how we can configure the SQL Server HA on Azure Linux VMs, key aspect of how you can rotate keytabs for AD authentication and if time permits we will bind all this together with a monitoring solution all this in 60 min, so fasten your seatbelts and enjoy!|
|Breakouts - 75 mins (60 mins + 15 mins Q&A) - Slides + Demos||SQL Stateful Containers on Kubernetes with Helm!||Amit Khandelwal||Data Administration||SQL Server is a stateful application and hence should be deployed as a stateful set. In this session, we look at the helm method of installing multiple instances of SQL Server as stateful deployments, look at the recommendations and best practices when running SQL Server on containers for production environment. After this session, you can go ahead and look to take the next step towards modernization of your data estate via SQL containers!|
|Breakouts - 75 mins (60 mins + 15 mins Q&A) - Slides + Demos||Understanding and designing HA/DR solutions in SQL Server||Kevin Farlee||Data Administration||Learn the fundamentals of HA/DR in SQL Server. Understand what solutions work best where, and what the tradeoffs are. Understanding how the HA/DR solutions work will enable you to make better choices for your systems, both in terms of protecting your data and in terms of protecting your bottom line by not paying for solutions that don't help your situation.|
|Breakouts - 75 mins (60 mins + 15 mins Q&A) - Slides + Demos||Migrate Your MySQL and PostgreSQL Databases to Azure||Arun Thiagarajan||Data Administration||Ever wondered what it takes to migrate your existing Open-Source Database workloads to Azure? Azure offers a fully managed PostgreSQL, MySQL which provides maximum flexibility including, zone redundant high availability, AI powered performance optimization and enterprise-grade security and compliance. In this session, we will cover – 1. The benefits of migrating your MySQL and PostgreSQL databases to Azure; and 2. The benefits of migrating your Oracle workloads to Azure Database for PostgreSQL. We will show you various migration tools to make this journey easy, discuss tip/tricks we have learnt from helping customers migrate 1000s of workloads into Azure and showcase some technical demos to visualize the migration journey.|
|Breakouts - 75 mins (60 mins + 15 mins Q&A) - Slides + Demos||Modernize your open-source database workloads with Flexible Server for the Azure Database for Postgres and MySQL||Sridhar Ranganathan, |
|Data Administration||Your feedback shaped the new Flexible Server for Azure Database for PostgreSQL and MySQL managed service. Flexible Server allows you to gain operational efficiency, and yet more importantly, not give up control of your database. In this session you will learn how the new Flexible Server gives you full control of choosing your configuration, reduces cost, automates maintenance – all with flexible high availability options for your databases. You will also learn about the migration tools that can transition your data to cloud with minimal downtime.|
|Breakouts - 75 mins (60 mins + 15 mins Q&A) - Slides + Demos||PowerBI Vision, strategy and roadmap||Patrick LeBlanc||Business Intelligence & Advanced Analytics||Power BI is helping organizations large and small, drive a data culture. We will cover our vision and roadmap. You will learn how AI automatically finds patterns in your data, you will learn about how Power BI is built into Teams and Excel to enable incredible collaboration experiences, and how Power BI with Synapse and other Microsoft technologies meets your most demanding needs.|
|Breakouts - 75 mins (60 mins + 15 mins Q&A) - Slides + Demos||Designing for high performance in Power BI||Siva Harinath; |
|Business Intelligence & Advanced Analytics||It's so easy to get started with Microsoft Power BI Desktop and get immediate value. Power BI is a feature-rich platform with many advanced capabilities. However, as solution complexity grows, with this great power comes great responsibility. It's important to carefully consider how your datasets and reports are going to be deployed and consumed so that they perform at scale and save you from future pains. In this session we address common pitfalls and cover top tips to get great performance across the entire platform - from sourcing data to designing reports and dashboards. Bonus material - special considerations for Power BI Premium. Key Learning: Understand what features of Power BI based on business needs and performance implications. Demos: Most of the content will be presentation and guidance.|
|Deep-Dives - 120 mins (105 mins + 15 mins Q&A) - Slides + Demos||10 superb tips about Azure Data Factory||Abhishek Narain||Business Intelligence & Advanced Analytics||Learn how to build enterprise-grade data pipelines using Azure Data Factory. We will run through 10 data engineering best practices which will help you build scalable and secure data pipelines. Some of the areas that we will cover are – pipeline architecture patterns, pipeline deployments, performance, governance, security, collaboration, logging and monitoring.|
|Breakouts - 75 mins (60 mins + 15 mins Q&A) - Slides + Demos||Scaling database workloads with Azure SQL Hyperscale||Denzil Ribeiro||Data Administration||Azure SQL Hyperscale, the innovative architecture of Azure SQL Database, provides applications with scale and availability needed from a cloud database. In this session, we will discuss Hyperscale architecture, including new scalability improvements in the platform. We will also discuss recently released and upcoming features, and cover Hyperscale-specific diagnostics that help gain insights into system performance.|
|Lightning Talk – 20 mins (15 mins + 5 mins Q&A) – Slides and/or Demos – whatever, something lightning 🙂||Run Microsoft Azure Arc enabled data services anywhere||Bapi Chakraborty||Architecture||This lightening talk (with a short demo) will focus on Architecture and solutions made possible by Azure Arc enabled data services anywhere. With latest innovation, we are now able to run always updated, scalable, Azure data services on any infrastructure. With Azure Arc, any enterprise can deploy Azure SQL Managed Instance or PostgreSQL (with hyperscale) to supported Kubernetes infrastructure whether on-premises, on any cloud or at the edge. This also includes unified & at scale management and always updated services.|
|Breakouts - 75 mins (60 mins + 15 mins Q&A) - Slides + Demos||Azure Synapse Analytics: AI, Synapse Link, and Microsoft Business Applications||Josh Caplan||Business Intelligence & Advanced Analytics||Azure Synapse Analytics is meant to help data engineers and data scientists work with data to transform their businesses. In this session you'll see the latest in how Synapse gives superpowers to these users to work with the data in their enterprise and use Synapse to operationalize machine learning at scale.|
|Short Drive - 30 mins (25 mins + 5 mins Q&A) - Slides + Demos||Benefits of Installing IaaS Agent Extension on Azure SQL VM||Ameena Lalani||Data Administration||SQL Server IaaS Agent Extension, formerly known as Resource Provider, enables additional management capabilities for self-installed SQL Server on Azure VMs. It provides PaaS-like capabilities to IaaS-based SQL for customers who adopt it. During this session, I will demonstrate some of the unique benefits of the SQL IaaS extension that will help you discover, manage and administer your SQL Servers in Azure VM.|
This is what you are going to learn in this session.
1. What is IaaS?
2. What is IaaS Agent Extension?
3. What are the Benefits of enabling this extension?
4. How to enable and disable this extension?
|Breakouts - 75 mins (60 mins + 15 mins Q&A) - Slides + Demos||Azure Databricks for AI and Analytics||Bhanu Prakash||Business Intelligence & Advanced Analytics||Azure Databricks brings a premium Spark Engine to unlock insights go enterprises. In this session, we'll provide an overview of Azure Databricks and some of the latest developments in Spark that will accelerate your analytics workloads and time to insight.|
|Breakouts - 75 mins (60 mins + 15 mins Q&A) - Slides + Demos||Intro to Azure Data Service and Azure Synapse Analytics||Balram Prasad||Development||In this talk i will present a slide where i will talk about different data services offered by azure and then how we can use azure synapse for different purpose and in the end i will have demo about how we can create notebook and run sql script in azure synapse|
|Demo-Only - 60 mins (45 mins + 15 mins Q&A) - Demos Only (max one slide)||Get to know the latest & coolest features in “Azure SQL Database Hyperscale”||Pooja Kamath Balmukund Lakhani||In this session we will demo the latest and newly released features from Azure SQLDB 'Hyperscale'- the architectural evolution of Azure SQL, which has been natively designed to take advantage of the cloud. |
One of the main key features of this new architecture is the complete separation of Compute Nodes and Storage Nodes. Because of this Hyperscale service tier removes many of the practical limits traditionally seen in cloud databases
While the most common notion is that Hyperscale tier is intended for customers whose requirements encompass very large databases, we will see why it is a great fit for most business workloads that even have smaller databases, but require fast vertical and horizontal compute scaling, high performance, instant backup, fast database restore & have significant read-only workloads.
We will look at some interesting use cases from recently released features that makes Azure SQL DB Hyperscale unique & how it compares with other offerings.
Don’t worry if you are new to Azure SQL DB Hyperscale! Our session will also look at the brief overview of the revolutionary Hyperscale architecture before we dive into the demos
|Short Drive - 30 mins (25 mins + 5 mins Q&A) - Slides + Demos||Working with Azure SQL DB Serverless||Carlos Lopez||Data Administration||Summary: In this session we will be working with Azure SQL DB, we will be exploring|
the use of the compute model serverless. Using the Azure CLI, and the declarative mode we will be
creating, deleting and altering the server and databases. All of this with the help of Visual Studio Code
integrating with different technologies to make SQL Server better.
Goal 1: Provisioning the server with the serverless compute model
Goal 2: Creating and altering db using declarative model through Azure CLI
|Short Drive – 30 mins (25 mins + 5 mins Q&A) – Slides + Demos ||Enabling Data with Azure Arc ||Daman Kaur||Data Administration ||The session covers Azure Arc-enabled data services in detail.|
Azure Arc enabled SLQMI, SQLDB, Postgres Hyperscale,
Business use cases for each of the services and when to choose each over others.
As a bonus, we will see how we can leverage azure monitor to manage the SQL workload running on On-prem infrastructure over the Kubernetes cluster.
|Short Drive – 30 mins (25 mins + 5 mins Q&A) – Slides + Demos ||AI: Powering New Possibilities with Indian Languages||Shaily Goel||Data Science (AI/ML) ||AI growth in India is happening at exponential level. As per the Accenture report, AI will add $957million to Indian Economy by 2035. Today more and more Indian users are using internet. Phone growth is massive. 9 out of every 10 users uses phone to communicate. However Large portion of this population still cannot read and write. Voice is the important communication media for all these users. These users will harness the power of internet eventually in their own vernacular language. Hence Government is pushing hard enterprises to enable AI for barrier free communications. Initiatives like NLTM are steps towards it. Multiple Indian startups are funded that taps into regional language. Voice, vernacular and video will be important pillars of the India AI growth. . This talk aims to showcase the work Microsoft is doing in this space for India market, showcasing use cases that are powered by these AI services for India.|
|Short Drive – 30 mins (25 mins + 5 mins Q&A) – Slides + Demos ||Machine Translation – Empowering users and organization to be more productive by minimizing the language barrier||Charan Mohan||Data Science (AI/ML) ||As businesses and supply chains have globalized, organizations need to continue to remain productive ensuring language is not a barrier for communication. Not only large organizations but large populations of multi-lingual societies are now trickling into the digital world for the very first time. Businesses are now looking to tap into this underserved user populace which represents a significant opportunity (The next billion users). Microsoft, through our Translation API (as part of azure cognitive services) provides developers and users with the ability to embed machine translation into their services and platforms thus enabling translation of text in real time or in batch across 90 languages and dialects. The translation service is built atop the latest advancements in neural machine translation (NMT) with built in data security. In this talk, I will walk through the various capabilities offered by the Azure cognitive- Translation service and how these services are being employed to reduce barriers to adoption across products and services both within Microsoft and by other customers. |
We will dive deep into aspects of Text translation, language detection, transliteration, document translation and the ability for organizations to train and deploy custom translation models via the custom translator API.
|Short Drive – 30 mins (25 mins + 5 mins Q&A) – Slides + Demos ||See how Decision AI can boost decision Intelligence organizations for better business outcomes||Neta Hiaby||Data Science (AI/ML) ||Decision AI can be used to personalize your customer experience, improve your supply chain management, detect anomalies in your business or equipment and more. In this session we will see how Azure Decision AI can improve business processes and assist with decision in organizations. Data is everywhere and effective decision making keeps getting more difficult. Azure Decision AI enables you to make ever-faster decisions based on data analysis such as anomaly detections and personalization. See how you can use Azure Decision AI in your organization to instill better decision intelligence and make more impactful data-driven decisions.|
|Short Drive – 30 mins (25 mins + 5 mins Q&A) – Slides + Demos ||Microsoft Azure AI – Computer Vision||Varsha Parthasarathy ||Data Science (AI/ML) ||Learn what's new in Azure Vision AI and build new capabilities with Azure Cognitive Services APIs.|
|Short Drive – 30 mins (25 mins + 5 mins Q&A) – Slides + Demos ||NLP Capabilities with Azure Cognitive Services.||Disha Agarwal||Data Science (AI/ML) ||With Language cognitive services, we bring multiple cloud-based NLP Capabilities such as language understanding, entity extraction, question answering, sentiment analysis, language detection etc, within the reach of every developer – without requiring machine-learning expertise. These capabilities enable developers to easily build NLP capabilities into their apps to power business solutions. For instance, Language understanding and Question Answering capabilities are leveraged to build conversational bots. Sentiment analysis and opinion mining capabilities are leveraged for use cases such as analyzing surveys, social media feedback on products and even customer support calls. Many of these applications can be integrated with other cognitive services such as Speech and Translation to power more sophisticated use cases such as voice assistants across multiple languages. Through the course of the presentation, I will be talking about some of these NLP capabilities and how enterprises are building business solutions with these capabilities.|
|Short Drive – 30 mins (25 mins + 5 mins Q&A) – Slides + Demos ||Analysing text with Azure Cognitive Services for Language||Parashar Shah||Data Science (AI/ML)||With Azure Cognitive services for Language, we bring multiple cloud-based NLP Capabilities such as Text Analytics for health, entity extraction, question answering, sentiment analysis, summarization, etc, within the reach of every developer – without requiring machine-learning expertise. In this session, I will give an overview of Text Analytics pre-built AI models and then do a deep dive in to Text Analytics for health. Text Analytics for health is a feature of the Text Analytics (Language) service that extracts and labels relevant medical information from unstructured texts such as doctor's notes, discharge summaries, clinical documents, and electronic health records. I will also talk about integration available with Power Platform and Azure Search to easily consume our pre-built AI models in your end to end enterprise scenario.|