Microsoft’s Azure Synapse Analytics platform is a powerful tool for storing, analyzing, and reporting on data. But as with any cloud-based service, you need to keep an eye on your costs. Fortunately, you can use Azure Automation to optimize your cost by automating certain tasks. Let’s take a closer look at how this works.
In recent times, Databricks has created lots of buzz in the industry. Databricks lays out the strong foundation of Data engineering, AI & ML, and streaming capabilities under one umbrella. Databricks Lakehouse is essential for a large enterprise that wants to simplify the data estate without vendor lock-in. In this blog, we will learn what Databricks Lakehouse is and why it is important to understand this advanced platform if you want to streamline your data engineering and AI workloads.
Service now is an excellent tool for IT service management. But have you come across a situation where your most precious time is wasted in raising the service now tickets (Change Ticket, Incidents, and Service Tickets)? This becomes quite boring and inefficient. Especially when you have to go thru this ordeal very often because your work depends upon other teams. Did you always imagine being happier if you could offload this boring stuff to somebody else? Sounds familiar?
If you want to automate this monotonous stuff and become more productive, then this blog is for you.
In this blog, we will learn how to automate Service Now ticket with Microsoft Power Automate and Power Virtual Agent.
If you want to develop an Intelligent chatbot in Azure Bot Service, then this blog is for you. In this Azure AI Chatbot Tutorial, we will learn how to integrate Natural Language Processing Capabilities in the chatbot. Some good chatbot use cases can revolutionize the way we do business. If you are new to Azure AI concepts then you will learn complex concepts like intents, Utterances, Entities, and their use in Chatbot. In this blog, we will not only learn how to develop a chatbot but also how to make it more intelligent. We will explore how an intelligent chatbot can authenticate against Azure and execute the commands remotely.
This is part two of a series of blogs for Databricks Delta Live tables.In part one of the blog we have discussed the basic concepts and terminology related to Databricks Delta Live tables. In this blog, we will learn how to implement Databricks Delta Live Table in three easy steps.
In this blog, I have discussed the Databricks Lakehouse platform and its Architecture. What are the challenges involved in building the data pipelines and how Databricks Delta Live Table solves them?
How Delta live table offers ease of development and treats your data as a code. With Delta Live tables now, you can build reliable maintenance-free pipelines with excellent workflow capabilities.
We will learn the different concepts and terminology used in Delta Live tables and its unique monitoring capabilities.
In this blog, I have discussed how to implement lineage, insights (reporting), and monitoring capabilities in Microsoft Purview.
First, we will understand what Lineage is and why it is important. Then, we will understand Purview’s insights capabilities and how purview provides the unique capabilities of reporting for Assets, Scans, Glossary, classification, and Sensitivity Labels.
Finally, we will gain knowledge on why it is important to monitor the purview environment and how to monitor it based on best practices.
In this blog we have discussed Microsoft Purview Search, Glossary and classification capabilities with three demo scenarios.
In this blog we will learn how to register and scan ADLS Gen 2 and Azure SQL Database in Microsoft Purview
Azure Kubernetes Services is the fastest way to use Kubernetes on Azure. Azure Kubernetes Service (AKS) manages the hosted Kubernetes environment, making it easy to deploy and manage containerized applications without requiring any container orchestration expertise. It also improves the agility, scalability, and availability of your containerized workloads. Azure DevOps streamlines AKS operations by providing continuous build and deployment capabilities.
In this blog, we will use Azure DevOps to deploy a containerized ASP.NET Core web application to an AKS cluster. The steps used in this blog can be used to deploy any application to AKS. The entire end-to-end demo is available in the video link provided in the blog.
