Jan 27 2021 09:05 AM - last edited on Feb 01 2021 12:45 PM by Eric Starker
Jan 27 2021 09:05 AM - last edited on Feb 01 2021 12:45 PM by Eric Starker
@Eric Starker Hi Eric, my name is Jody Claggett. I'm a Data Engineer working for a healthcare company out of Colorado. We're just in the beginning stages of implementing an Azure Data Lake solution. My team is responsible for data analytics and reporting.
What I'd like to understand regarding Azure Data Explorer is just the primary differences between Data Explorer and Data Catalog and what types of use cases I should think about using for each? My understand is that Data Catalog would be exposed to my end users? Is that accurate or is Data Explorer that tool for end users to leverage?
Jan 27 2021 09:16 AM
Hi @JodyClaggett985 !
Great question!
Azure Data Explorer is a low latency, high-performance, big data analytics service that provides a fast general purpose interactive analytics data platform.
Featuring an intuitive query language and powerful ingestion and storage capabilities, ADX is the ideal tool to analyze high volumes of fresh and historical data in the cloud.
By analyzing structured, semi-structured and unstructured data across time series and leveraging Machine Learning, Azure Data Explorer makes it simple to extract key insights, spotting patterns and trends, and creating forecasting models.
Main use cases for Azure Data Explorer
What makes ADX unique?
ADX includes native tools such as query editor, equipped the best InteliSense in the business and an advanced and powerful results grid, and dashboarding application that can absolutely be leveraged by end users.
Jan 27 2021 09:24 AM
@OlgaGold Thank you, that helps clear up my confusion.