Hey data enthusiasts! 👋 Spark Structured Streaming provides an efficient framework for processing streaming data in real time, while Databricks Autoloader simplifies the process of ingesting streaming data from external sources. In this blog, we wil...
Hey data enthusiasts! 👋 The Azure Sales Data Pipeline Automation project focuses on building an end-to-end automated data pipeline for processing sales order files dropped into a storage account by third parties. The goal is to validate these files,...
Hey data folks! 👋 This week’s blog explores how to provision and use key features like Serverless SQL Pools, Dedicated SQL Pools, and Apache Spark Pools within an Azure Synapse workspace. We’ll dive into creating external tables, loading data from A...
Hey data enthusiasts! 👋 In this week’s blog, we explore how to use Azure Data Factory's HTTP Connector to streamline data ingestion from HTTP endpoints into Azure Data Lake Storage (ADLS) Gen2. Through practical examples, we’ll also demonstrate how ...
Hey data engineers! 👋 Azure Data Factory plays a key role in automating data workflows, allowing organizations to transfer, transform, and orchestrate large amounts of data with minimal operational overhead. In this blog, we’ll explore ADF's core fe...
Hey data engineers! 👋 In this blog, we explore the Azure Lakehouse architecture, focusing on how Databricks Lakehouse integrates the benefits of data lakes and data warehouses. We'll dive into its core components, such as the storage layer, Delta La...
