Exporting Visual Studio App Center Data to an existing Azure Services

We can export App Center Telemetry to an existing Azure Application Insights Services. This is helpful when you want to collect telemetry for your cross-platform application (running on Windows, Android, and iOS) in the same space for further analytics. App Center allows continuous build, release, test, and monitor of our cross-platform applications. It has a robust integration with Azure DevOps.

Visual Studio App Center allows export Insights and Analytics to Azure Blob Storage and Application Insights. Exporting data to Azure Services such as blob storage or App Insights helps in data retention, detailed usages, and analysis. Let’s take a look at how to export Visual Studio App Center Data To Azure Application Insights.

#azure devops #devops #visual studio app center

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Exporting Visual Studio App Center Data to an existing Azure Services
Sid  Schuppe

Sid Schuppe

1617988080

How To Blend Data in Google Data Studio For Better Data Analysis

Using data to inform decisions is essential to product management, or anything really. And thankfully, we aren’t short of it. Any online application generates an abundance of data and it’s up to us to collect it and then make sense of it.

Google Data Studio helps us understand the meaning behind data, enabling us to build beautiful visualizations and dashboards that transform data into stories. If it wasn’t already, data literacy is as much a fundamental skill as learning to read or write. Or it certainly will be.

Nothing is more powerful than data democracy, where anyone in your organization can regularly make decisions informed with data. As part of enabling this, we need to be able to visualize data in a way that brings it to life and makes it more accessible. I’ve recently been learning how to do this and wanted to share some of the cool ways you can do this in Google Data Studio.

#google-data-studio #blending-data #dashboard #data-visualization #creating-visualizations #how-to-visualize-data #data-analysis #data-visualisation

Ruth  Nabimanya

Ruth Nabimanya

1624850863

Azure Data Catalog: A Quick Introduction to Data Handling Service Around

What is Azure Data Catalog?

Azure Data Catalog is a Data Catalog cloud service of Microsoft using a crowdsourced approach. It provides an inventory of data used for discovering and understanding the data sources. Microsoft Azure is a Software as a Service (SaaS) application.

“Build Confidence in Azure Data Catalog even having more than millions of accounts”

**Source: **Gartner, Inc

Azure Data Catalog enhances old investments’ performance, adding metadata and notation around the Azure environment’s data. It informs about the Data sources which we have discovered or which we already have. It expresses documentation and describes the schema of the data source. The data source location and a copy of the metadata are present in the Azure Data Catalog. The user can access it easily when needed, and the indexing of metadata helps discover data through a search.### What is Azure Data Catalog?

Azure Data Catalog is a Data Catalog cloud service of Microsoft using a crowdsourced approach. It provides an inventory of data used for discovering and understanding the data sources. Microsoft Azure is a Software as a Service (SaaS) application.

“Build Confidence in Azure Data Catalog even having more than millions of accounts”

**Source: **Gartner, Inc

Azure Data Catalog enhances old investments’ performance, adding metadata and notation around the Azure environment’s data. It informs about the Data sources which we have discovered or which we already have. It expresses documentation and describes the schema of the data source. The data source location and a copy of the metadata are present in the Azure Data Catalog. The user can access it easily when needed, and the indexing of metadata helps discover data through a search.

#big data engineering #blogs #azure data catalog: a quick introduction to data handling service around #azure data catalog #data handling service around #service

Siphiwe  Nair

Siphiwe Nair

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

Exporting Visual Studio App Center Data to an existing Azure Services

We can export App Center Telemetry to an existing Azure Application Insights Services. This is helpful when you want to collect telemetry for your cross-platform application (running on Windows, Android, and iOS) in the same space for further analytics. App Center allows continuous build, release, test, and monitor of our cross-platform applications. It has a robust integration with Azure DevOps.

Visual Studio App Center allows export Insights and Analytics to Azure Blob Storage and Application Insights. Exporting data to Azure Services such as blob storage or App Insights helps in data retention, detailed usages, and analysis. Let’s take a look at how to export Visual Studio App Center Data To Azure Application Insights.

#azure devops #devops #visual studio app center

Rylan  Becker

Rylan Becker

1621121100

Writing U-SQL scripts using Visual Studio for Azure Data Lake Analytics

In the 2nd article of the series for Azure Data Lake Analytics, we will use Visual Studio for writing U-SQL scripts.

Introduction

Azure Data Lake stores the unstructured, structured, and semi-structured data in the Azure cloud infrastructure. You can use Azure portal, Azure Data Factory(ADF), Azure CLI, or various other tools. In the previous article, An overview of Azure Data Lake Analytics and U-SQL, we explored the Azure Data lake Analytics using the U-SQL script.

In this article, we will understand U-SQL scripts and executing them using Visual Studio.

U-SQL scripts execution in the Visual Studio

U-SQL is known as a big data query language, and it combines the syntax similar to t-SQL and the power of C## language. You can extract, transform data in the required format using the scripts. It has few predefined extractors for CSV, Text, TSV for extracting data from these formats. Similarly, it allows you to convert the output to your desired format. It offers big data processing from gigabyte to petabyte scale. You can combine data from Azure Data Lake Storage, Azure SQL DB Azure Blob Storage, Azure SQL Data Warehouse.

You can develop and execute the scripts locally using Visual Studio. Later, you can move your resources to the Azure cloud. This approach allows you to save the cost for Azure resources ( compute and storage) because in the Visual Studio, it does not cost you for the executions.

To use these scripts in the Visual Studio, you should have _the _Azure Data Lake and Stream Analytics Tools installed. You can navigate to Visual Studio installer -> Workloads-> Data Storage and processing -> Azure Data lake and Stream Analytics.

Launch the Visual Studio 2019 and create a new U-SQL project. You get a few other templates such as Class Library, Unit Test project and sample application as well. We will work with a project template that creates a project with your USQL scripts.

#azure #sql azure #visual studio #azure data lake analytics #visual studio #u-sql