Join Mark Russinovich, Azure CTO, to learn how Microsoft Azure enables intelligent, modern, and innovative applications at scale in the cloud, on-premises, and on the edge. Microsoft Azure has achieved massive, global scale, with more than 50 announced regions consisting of over 100 datacenters, and it is growing fast.

Mark takes you on a tour of Azure datacenter architecture and implementation innovations, describing everything from Azure global infrastructure, to how we enable large-scale enterprise scenarios on both cloud and edge, and more.

For many newcomers to Azure Cosmos DB, the learning process starts with data modeling and partitioning.

How should I structure my data? When should I co-locate data in a single container? Should I de-normalize or normalize properties? What’s the best partition key for my model?

In this demo-filled session, learn the strategies and thought process one should adopt for modeling and partitioning data effectively in Azure Cosmos DB.

Using a real-world example, we explore Azure Cosmos DB key concepts—request units (RU), partitioning, and data modeling—and how their understanding guides the path to a data model that yields best performance and scalability. If you’re familiar with relational databases, and want to dive into the non-relational world, this is the session for you.

Here’s a great talk from Microsoft Ignite about governance and compliance around Azure services.

Enabling your organization to easily consume Azure services can be challenging due to security, compliance and or governance requirements. Azure Blueprints allows organizations to define the guardrails for which they empower their business to succeed and drive to new heights.

In this demo-packed session we’ll go deep with Azure Blueprints and how they map to Management Groups and your overall scaffolding and structure. We’ll explore how customers can ensure consistent policy, control, visibility, and security across resources and subscriptions with Azure Policy, Azure Monitor, Log Analytics, Security Center and Cost Management.

Learn about Azure Synapse Analytics, a limitless analytics service, that brings together enterprise data warehousing and Big Data analytics.

It gives you the freedom to query data on your terms, using either serverless on-demand or provisioned resources—at scale. Azure Synapse brings these two worlds together with a unified experience to ingest, prepare, manage, and serve data for immediate BI and machine learning needs.

Come see how you can get started today!

Learn how Microsoft is simplifying IoT with the evolution of Azure IoT Central.

Step through a live demo of the new IoT Central retail application template with Avneet Singh, Senior Program Manager, IoT Solutions team.

Learn how this IoT app platform keeps devices connected with built-in device management.

Understand IoT Central makes it easy to integrate into business applications to deliver insights to business decision makers.

Get a sneak preview  (aka.ms/iotshow/IoTatIgnite) of what you’ll learn at Ignite on November 4-8, 2019, in Orlando, Florida or by streaming the event online.

  • Sam George will lead a breakout session covering the newest offerings from Microsoft IoT.
  • Galen Hunt will speak with Starbucks on their use of Azure Sphere.
  • Olivier Bloch and Arjmand Samuel will lead a demo-heavy deep dive exploring what’s available today to build a secure end-to-end IoT solution.

On site attendees will have the opportunity to get hands-on experiences.

Twenty-minute theater sessions will offer go deep into specific topics including Azure IoT Hub, Azure IoT Central, Azure Maps, Azure Time Series Insights, IoT Plug and Play, and Azure Security Center for IoT. Developers and operators will leave the event knowing how to make IoT smart, seamless, and secure.      

Learn more at https://www.microsoft.com/en-us/ignite

After pondering some of the implications of Siraj Raval’s predictions for AI in 2019, it’s time to move learning containers to the top of my learning queue.

In this video, Damian interviews Cloud Advocate Jay Gordon at Microsoft Ignite in Berlin. Containers are still new for a lot of people and with the huge list of buzzwords, it’s hard to know where to get started. Jay shows how easy it is to get started running your first container in Azure, right from scratch.

Resources:

Follow Jay on Twitter: @jaydestro
Follow Damian on Twitter: @damovisa

Data engineering is about 70% of any data pipeline today, and without having the experience to implement a data engineering pipeline well, there is no value to be accumulated from your data.
In this session from Microsoft Ignite we discuss the best practices and demonstrate how a data engineer can develop and orchestrate the big data pipeline, including: data ingestion and orchestration using Azure Data Factory; data curation, cleansing and transformation using Azure Databricks; data loading into Azure SQL Data Warehouse for serving your BI tools.
Watch and learn how to effectively do the ETL/ELT process combined with advanced capabilities such as monitoring the jobs, getting alerts, jobs retrial, set permissions, and much more.