The Microsoft Cloud Adoption Framework for Azure guides customers through their cloud journey, to use and adopt cloud services with confidence and in control.

In this video, Scott Bockheim shows Lara Rubbelke the tools, templates, assessments, and resources to implement the guidance from this framework in different stages and steps of the cloud journey.

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The Microsoft Cloud Adoption Framework for Azure guides customers through their cloud journey, to use and adopt cloud services with confidence and in control. In this episode, Scott Bockheim explores the guidance and documentation of the framework with Lara Rubbelke to provide an overview of all the components and elements included.

Romit Girdhar, Microsoft (@romitgirdhar) and Chinmay Joshi, Oracle join Lara Rubbelke to explain how to interconnect Microsoft Azure and Oracle Cloud Infrastructure.

The Microsoft Azure and Oracle Cloud interoperability partnership enables you to migrate and run mission-critical enterprise workloads across both clouds, seamlessly connecting Azure services, like Analytics and AI, to Oracle Cloud services, like Autonomous Database. Learn how you now have a one-stop shop for all the cloud services and applications you need to run your business.

Container startup time is the price of admission, but startup time is also an inhibitor for many serverless scenarios.

Steve Lasker joins Lara Rubbelke to show how Project Teleport eliminates the download and decompression of layers by directly mounting expanded layers, potentially unlocking many new scenarios.

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In this episode of Azure Friday, learn how to deploy WordPress backed by Azure Database for MariaDB. It is the latest addition to the open source database services available on the Azure platform and further strengthens Azure’s commitment to open source and its communities. The service offers built-in high availability, automatic backups, and scaling of resources to meet your workload’s needs

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    Data integration is complex with many moving parts. It helps organizations to combine data and complex business processes in hybrid data environments. Failures are very common in data integration workflows. This can happen due to data not arriving on time, functional code issues in your pipelines, infrastructure issues, etc.

    A common requirement is the ability to rerun failed activities within data integration workflows. In addition, sometimes you need to rerun activities to re-process data due to an error upstream in data processing. Azure Data Factory now enables you to rerun the entire pipeline or choose to rerun downstream from a particular activity inside a pipeline.

    Manoj Raheja joins Lara Rubbelke (@sqlgal) to demonstrate Azure Data Explorer (ADX) and provide an overview of the service from provisioning to querying. ADX is a fast, fully managed data analytics service for real-time analysis on large volumes of streaming data. It brings together a highly performant and scalable cloud analytics service with an intuitive query language to deliver near-instant insights.

    Gaurav Malhotra joins Lara Rubbelke to discuss how you can associate a GitHub repository (public & enterprise) to your Azure Data Factory for collaboration, versioning, source control.

     

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    James Baker joins Lara Rubbelke to introduce Azure Data Lake Storage Gen2, which is redefining cloud storage for big data analytics due to multi-modal (object store and file system) access and combining the best qualities of a dedicated analytics file system with those of a cloud-scale object store.

    For more information: