Azure Data Studio, (ADS), is a cross platform, (Windows, Mac, Linux), data tool for Microsoft’s on-prem and cloud data platforms. In this webinar we do a brief overview of ADS, followed by a deep-dive into how you can use ADS for deploying and and managing a SQL Server Big Data Cluster.
The new release of SQL Server; SQL Server 2019 includes Apache Spark and Hadoop Distributed File System (HDFS) for scalable compute and storage. This new architecture that combines together the SQL Server database engine, Spark, and HDFS into a unified data platform is called a “big data cluster.” This webinar gives you an overview of what a SQL Server Big Data Cluster is, and what you can do with it. We look at the various components, (Kubernetes, Spark, HDFS, PolyBase, etc.), and what you can do with them, and how to run the Big Data Cluster on Azure Kubernetes Service.
MLOps will enable you to build Continuous Integration and Continuous Delivery pipeline for a ML/AI project. We will be seeing how to use the Azure DevOps Project for build and release/deployment pipelines along with Azure ML services for model retraining, model management and operationalization.
During this session, we’ll take a look at the proactivity tools that can be used to improve our development experience on Azure. We’ll talk about tools from multiple areas like storage, computation, automation, cleaning and many more. All of them are free to use, build by the Azure community or Microsoft to improve the cloud experience.
Artificial Intelligence (AI) is bringing big changes in the way people and businesses relate to technology. As well as the arrival of the personal computer, the cloud computing, and smartphones, the AI is the artificial technology that takes you to where you're going so much faster, intuitive and smart. In this session, we will discuss the basics of IA and how we can apply it in our business using the Azure Machine Learning Services.
Machine Learning Basics using R & Python
In this webinar you will get to learn about SQL Server Column Store Indexes Overview and Use Cases.
Artificial Intelligence is undoubtedly booming in the business and every organisation wants to use AI to transform their business. Machine Learning, a category within AI has become far more effective and widely available enabling organisations to build systems that can learn how to perform tasks on their own. Whether you are a Developer or Data Scientist and new to Machine Learning, Microsoft provides tools to develop models without writing single line of code to accelerate your AI journey in your organisation. In this webinar you will get to learn about the Microsoft Technologies that will allow you to create models without any coding required.