Azure Data Engineering

  Integrate Azure Stream Analytics with Event Hubs Introduction Azure Stream Analytics and Azure Event Hubs are two powerful tools within Microsoft's Azure ecosystem that, when integrated, offer a scalable solution for real-time analytics. This article explains how to integrate Stream Analytics with Event Hubs , the benefits of the integration, and step-by-step instructions to get started. With the explosion of real-time data from IoT devices, applications, and cloud services, organizations are increasingly turning to cloud-native services to manage, process, and analyze data streams efficiently. Integrate Azure Stream Analytics with Event Hubs What is Azure Event Hubs? Azure Event Hubs is a big data streaming platform and event ingestion service capable of receiving and processing millions of events per second. It acts as a "front door" for an event pipeline, allowing data to be ingested from multiple sources such as applications, devices, or sensors. Azure ...

  Differences between Standard and Premium Databricks Tiers   Introduction Azure Databricks is a powerful analytics platform designed for big data and artificial intelligence (AI) workloads. Built on Apache Spark, it offers a unified environment for data engineering, machine learning, and business intelligence. To accommodate different organizational needs, Azure Databricks is available in multiple pricing tiers— Standard and Premium . Understanding the differences between these tiers is crucial for selecting the right configuration for your projects and ensuring security, scalability, and cost-efficiency. Differences between Standard and Premium Databricks Tiers 1. Overview of Azure Databricks Tiers Azure Databricks offers two main tiers: ·          Standard Tier: Suitable for basic data processing and analytics tasks, focusing on core Spark capabilities with limited security and enterprise features. ·    ...