![]() ![]() The Azure Data Explorer analytics runtime is optimized for efficient analytics using powerful indexing technology to automatically index free-text and semi-structured data. What is Azure Data Explorer (ADX)?Īzure Data Explorer is a fast and highly scalable data service for analytics. We will use CDC by capturing changes made to an Azure SQL and store the changes in Azure Data Explorer. It is commonly used for data replication. Consumers: Data analysts, Data scientists, Engineers.ĬDC (Capture Data Change) is the process of capturing changes made to data in a database and then delivering them to a downstream system. ![]() Not accessible to consumers only to engineers.Contains raw data, sometimes referenced as the data staging area.Unstructured and raw data are ingested using scalable pipelines to output the highest quality enriched data. Medallion architectures are sometimes also referred to as "multi-hop" architectures.Ĭreating a multi layer data platform allow companies to improve data quality across the layers and at the same time provide for their business needs. The goal is to incrementally improve the structure and quality of data as it flows through each layer of the architecture. What is a Medallion Architecture?Ī medallion architecture (also coined by Databricks) is a data design pattern used to logically organize data. The Data Lakehouse term was coined by Databricks on an article in 2021 and it describes an open data management architecture that combines the flexibility, cost-efficiency, and scale of data lakes with the data management, data mutability and performance of data warehouses. Part 2 - Building a Data Lakehouse using Azure Data explorer - the deployment Background What is a Data Lake House? ![]() With this guide, you'll be able to create a data lakehouse that can handle large volumes of data and provide valuable insights for your business.įor the actual code on "how to guide" for the deployment see part 2: In Part 2 we will show you how to deploy this solution using Bicep, a powerful infrastructure as code (IaC) tool from Microsoft. This article is Part 1 in the series, here we will explore how to build a data lakehouse using Azure Data Explorer (ADX) where the data flows from Azure SQL DB using Change Data Capture (CDC) through Azure Data Factory and events flowing from events hub. This is where a data lakehouse comes in - a hybrid solution that combines the best features of a datalake and a data warehouse. As businesses continue to generate massive amounts of data, the need for efficient data management solutions becomes increasingly important. ![]()
0 Comments
Leave a Reply. |