Scalability: Azure Data Explorer is highly scalable and can handle large amounts of data from a variety of sources. Fast query performance: Azure Data Explorer is designed to handle high volumes of data in real-time and to provide fast query performance for ad-hoc analysis and visualization.Azure Data Explorer is scalable, secure, robust, and enterprise-ready, and is useful for log analytics, time series analytics, IoT, and general-purpose exploratory analytics. The Azure Data Explorer toolbox gives you an end-to-end solution for data ingestion, query, visualization, and management.īy analyzing structured, semi-structured, and unstructured data across time series, and by using Machine Learning, Azure Data Explorer makes it simple to extract key insights, spot patterns and trends, and create forecasting models. What is Azure Data Explorer and when is it a good fit?Īzure Data Explorer is a fully managed, high-performance, big data analytics platform that makes it easy to analyze high volumes of data in near real time. 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 1 – Background What is a Data Lake House?
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