Welcome to a One Day, Hands on workshop on Azure Data Explorer. Synapse Customer Success Engineering team is delighted to present this challenge based, discover by doing experience divided into 2 labs of 4 Hours each, a total of 8 hours.
Visualize data in ADX Dashboards
Lab 1: Cluster Creation, Data Ingestion and Exploration This Lab will focus on enabling the participants to Create a free ADX cluster, and ingest data into the cluster - One click ingestion of historic data , update policy to perform ETL and write some KQL queries.
Lab 2: Advanced KQL, Policies, and Visualization This Lab will focus on enabling the participants to write Kusto queries to explore and analyze the data stored in the clusters. Participants will also create cool visualizations. It is recommended to complete the Lab 1 before beginning with Lab 2.
Earn a digital badge! In order to receive the ADX-In-A-Day completion digital badge, you will need to complete the challenges marked with ✅ in each Lab. Please submit the results using the answer sheet found at the beginning of Lab.
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 toolbox gives you an end-to-end solution for data ingestion, query, visualization, and management.
By 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. 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.
Note: Data Explorer exists as both a Standalone offering (Azure Data Explorer) and part of Synapse (Synapse Data Explorer). All the content will apply to both these offerings (will be referred to as 'ADX') without any change.
ADX capabilities are extended by other services built on its powerful query language, including Azure Monitor logs, Application Insights, Time Series Insights, and Microsoft Defender for Endpoint
Contoso is an enterprise services company that deals with data extraction, transformation, and load scenarios for it's customers who are using Azure native services like Azure Storage, Azure data factory, Azure SQL database. Constoso also maintains audit traces, system logs and telemetry from Azure services and data ETL processes. One customer recently approached Contoso asking to create a dashboard they can use to monitor their Azure SQL Database logs in a single place. Customer has agreed to provide a sample dataset to Contoso.
Contoso is planning to perform exploratory data analysis on the SQL DB logs. It is looking for a suitable analytics platform that provides out of the box integration with Azure services such as storage account for historical load and perform data analysis . Contoso is developing a SaaS application that will allow its customers to trace and monitor their system logs. Contoso wants to offer out of the box visualizations with interactive capabilities to enable its customers to drill-in/drill-out of the data and offer blazing fast loading of visualizations to its customers.
This workshop walks through the steps in designing, creating, and configuring Azure Data Explorer clusters keeping in mind these requirements. Once the cluster is deployed, this workshop enlists the steps to ingest data into ADX databases and tables using One Click ingestion.
Generally, when starting with Azure Data Explorer, you will follow the following steps (ADX Workshop Labs will cover all these steps):