Getting started with Azure Data Explorer using the Go SDK covered how to use the Azure Data Explorer Go SDK to ingest and query data from azure data explorer to ingest and query data. In this blog you will the Azure Go SDK to manage Azure Data Explorer clusters and databases.
Azure Data Explorer (also known as Kusto) is a fast and scalable data exploration service for analyzing large volumes of diverse data from any data source, such as websites, applications, IoT devices, and more. This data can then be used for diagnostics, monitoring, reporting, machine learning, and additional analytics capabilities.
In case you’re wondering, we are talking about two different SDKs here. The one covered in this blog is for resource administration (also known as the control plane SDK) and the one I used in the other post is data plane SDK for interacting with the Azure Data Explorer service itself (ingestion, query etc.)
What’s covered?
A simple CLI application is used as an example to demonstrate how to use the Go SDK. We’ll try out the application first and go through how to:
- Create and list Azure Data Explorer clusters
- Create and list databases in that cluster
- Delete the database and cluster
Sample CLI app: goadx
Once that’s done, we’ll walk through the sample code to understand what’s going on
_The code is available on GitHub _https://github.com/abhirockzz/azure-go-sdk-for-dataexplorer
Please note that this CLI based example is just meant to showcase how to use the Azure Go SDK (in the context of Azure Data Explorer) as a part of a larger application. It is not supposed to replace/substitute the Azure CLI which can be used to manage Azure Data Explorer resources
#cloud #go #big-data #azure #azure data explorer
