1621849440
How to use Azure Go SDK to manage Azure Data Explorer clusters
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
What is GEEK
Buddha Community
1596948420
How to Use Azure Go SDK to Manage Azure Data Explorer Clusters
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 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
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
Pre-requisites
You will need a Microsoft Azure account. Go ahead and sign up for a free one!
Install the Azure CLI if you don’t have it already (should be quick!)
#tutorial #big data #azure #analytics #go #golang #azure data explorer clusters #azure go sdk
1595932282
Getting Started With Azure Data Explorer Using the Go SDK
With the help of an example, this blog post will walk you through how to use the Azure Data explorer Go SDK to ingest data from an Azure Blob storage container and query it programmatically using the SDK. After a quick overview of how to setup Azure Data Explorer cluster (and a database), we will explore the code to understand what’s going on (and how) and finally test the application using a simple CLI interface
The sample data is a CSV file that can be downloaded from here.
What Is Azure Data Explorer?
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.
It supports several ingestion methods, including connectors to common services like Event Hub, programmatic ingestion using SDKs, such as .NET and Python, and direct access to the engine for exploration purposes. It also integrates with analytics and modeling services for additional analysis and visualization of data using tools such as Power BI
Go SDK for Azure Data Explorer
The Go client SDK allows you to query, control and ingest into Azure Data Explorer clusters using Go. Please note that this is for interacting with the Azure Data Explorer cluster (and related components such as tables etc.). To create Azure Data Explorer clusters, databases etc. you should the use the admin component (control plane) SDK which is a part of the larger Azure SDK for Go
API docs - https://godoc.org/github.com/Azure/azure-kusto-go
Before getting started, here is what you would need to try out the sample application
#tutorial #big data #azure #analytics #go #azure data #azure data explorer
1621849440
How to use Azure Go SDK to manage Azure Data Explorer clusters
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
1592668860
Download Android SDK Manager and SDK Tools
In this tutorial, we’ll read about the Android SDK Manager. We will see what is SDK manager in Android and why and how it is important for Android. So, SDK stands for Software Development Kit, which is a collection of software tools required. SDK basically helps Android to download tools and recent versions of Android. Every time a new Android version is released, along with it is released an SDK corresponding to it. This SDK must be installed by the developers for the devices.
What is SDK Manager?
A Software development kit is a set of tools required for the development of applications for Android. It also ensures that the progress of App development goes as flat as pancakes. We need SDK irrespective of the language we are using. Android SDK comes wrapped up with the Android Studio these days. An Android SDK separates the tools, platforms and other components into packages. These can be downloaded from the SDK Manager.
#android tutorials #android sdk manager #android sdk manager download #android sdk tools #android studio sdk manager #sdk download #sdk manager #sdk tools
1620466520
Your Data Architecture: Simple Best Practices for Your Data Strategy
If you accumulate data on which you base your decision-making as an organization, you should probably think about your data architecture and possible best practices.
If you accumulate data on which you base your decision-making as an organization, you most probably need to think about your data architecture and consider possible best practices. Gaining a competitive edge, remaining customer-centric to the greatest extent possible, and streamlining processes to get on-the-button outcomes can all be traced back to an organization’s capacity to build a future-ready data architecture.
In what follows, we offer a short overview of the overarching capabilities of data architecture. These include user-centricity, elasticity, robustness, and the capacity to ensure the seamless flow of data at all times. Added to these are automation enablement, plus security and data governance considerations. These points from our checklist for what we perceive to be an anticipatory analytics ecosystem.
#big data #data science #big data analytics #data analysis #data architecture #data transformation #data platform #data strategy #cloud data platform #data acquisition