Databricks Batch and Streaming

Databricks is a leading big data processing service available on Azure. One of the nicest features in Databricks is the ability to develop workloads that run in batch or streaming modes. In this webinar, we’ll review the basics of a notebook running in batch mode. In this example, we’ll be focusing on Delta Tables for…

Optimizing Compute on Azure Kubernetes Services (AKS)

AKS is a versatile tool, capable of running all kinds of workloads. Because of this, it makes no assumptions about the kind of jobs it will be running and gives the controls to the user to figure out the best compute model for the workload. In this webinar, we’ll look at those controls and how…

Migrating Data Workloads from SQL to Azure Synapse

You’ve heard about the advances in the Azure Synapse Analytics service. Microsoft has brought together data integration, enterprise data warehousing, and big data analytics. In this webinar, we’ll review the fundamentals of Azure Synapse Analytics and why it may be the right choice for you. Both serverless and dedicated resource consumptions models will be covered.…

SQL in Azure Container Instances

Cloud computing challenges IT professionals to think about compute apart from storage so we can have limitless scalability. For some, thinking about SQL Server without hardwired storage and database is a difficult concept to grasp. In this session, you will learn how to implement a microservice ETL using a containerized SQL Server. You’ll also learn…

Intro to Blazor WebAssembly

Join this webinar to learn some of the essentials of getting started with Blazor WebAssembly, Microsoft’s hot, new technology for doing client-side programming with C# in the web browser! In this webinar, we will showcase how to code and debug Razor Components in the web browser! We will explore how to make REST API calls…

AI and ML Embedded in Azure Data Platform

You can deploy AI/ML solutions in multiple places: IoT devices, at the cloud edge, and in cloud API endpoints, among other locations. In this session, learn the options available in Azure Data Platform services and how they can improve transactional systems in the back end. We will also walk through some business intelligence (BI) use…

Different Paths for Migrating Apps to Azure

There are multiple ways to host applications on Azure, each with its pro’s and cons. In this webinar, we’ll look at three different possibilities between Azure App Services, Azure infrastructures, and lastly at containers, then weight the pros and cons of each of these when moving into Azure.

Microservices On Azure: Containers, Serverless, and Everything Else

Microservices provide a great way to build scalable, manageable, and available applications across vast regions. Especially for newer suites, choosing the right technology to support microservices has its advantages and tradeoffs to make things simpler or more flexible. In this webinar, you will learn how the different technologies impact microservices to help you make better-informed…

Introduction to Azure Databricks

Data volumes are increasing rapidly and with it, insights can be gained at cloud scales. Azure Databricks enables developers to leverage the combined power of Azure, Delta Lake, and Apache Spark to utilize structured and unstructured data for insights, real-time feedback, and application development. In this session, you’ll learn the basics of Azure Databricks, the…

Making the Most of Microservices

Microservices offer a way to create hyper scale applications that can meet the demands of even the most challenging workloads. But with microservices, come with their own sets of challenges that have to be solved. In this webinar, we look at these challenges: state, configuration management, service discovery, interservice communication, security, and scaling data. With…

Power BI Aggregations

Power BI was originally released as a fully cloud-based, end-user targeted data visualization tool. Now it’s both a robust and scalable enterprise-level BI ecosystem. Microsoft has increased its ability to deal with a large volume of data both imported into and hosted outside the service to implement semantic models. In this session, Wintellect Data Architect…