Step 1: Create a Text Analytics Resource From the Azure Portal, create a resource “Text Analytics” Once created, you should be able to get the Endpoint URL and Key from the “Keys and Endpoint” section Step 2: Create a .NET Console application in Visual Studio Get the Azure.AI.TextAnalytics nuget package for your solution Here you go your sample code Below is the output expected:
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This short video clip demonstrates how to create an Azure Storage Account and upload a index.html file.
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This week I got an opportunity to be part of the program “Analytics In A Day”, organized by my employer, Orion Innovation. This is a one full-day workshop by Microsoft, delivers through their partners and target audience is usually technology leaders, architects, managers and developers. I have experience with various components of Azure Synapse Analytics individually such as ADF/Azure Data Factory, Azure SQL Data Warehouse, Databricks and DataLake but it is a very nice experience working with a unified platform which provides seamless integration, or in other words – each stakeholders: Data Scientists, Analytics, Architects, Business users and IT guys…
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When it comes to costing/pricing on cloud based platforms such as Azure or AWS, it is always a confusion especially for beginners what various units mean. Let us have a look at some such common unit terminologies. SKU – Stock Keeping Unit – A purchasable units in a platform. Ref – https://en.wikipedia.org/wiki/Stock_keeping_unit ACU – Azure Compute Unit – A unit used to compare compute performance across Azure SKUs. Ref – https://docs.microsoft.com/en-us/azure/virtual-machines/acu TU – Transaction Unit – Usually 10K transactions = 1 Transaction Unit DTU – Database Transaction Unit – Ref – https://docs.microsoft.com/en-us/azure/azure-sql/database/purchasing-models#understanding-dtus eDTU – elastic DTU – Ref – https://docs.microsoft.com/en-us/azure/azure-sql/database/purchasing-models#dtu-based-purchasing-model…
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Here is the format expected: 2020-01-26T00:00:00.00Z. This post is a bookmark for beginners.
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Registration & Agenda here.
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Well, the question is slightly wrong until the context is specified because it is possible to build Modern Data Warehouse by including Cosmos DB in the architecture. This is too much relevant today because the data is no more straight forward content with human readable entities and relations (structured), but unstructured and/or streaming too. Also the pace of the data flow, or business requirement is becoming near real-time. See a reference architecture below: Image Source: MS Docs Here, in this blog, the context is about Traditional Data Warehouse possibility, where you will be modelling the data, specifying relationships, etc. Let…
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Introduction What is Azure Databricks? Azure Databricks is the same Apache Databricks, but a managed version by Azure. This managed service allows data scientists, developers, and analysts to create, analyse and visualize data science projects in cloud. Databricks is a user friendly, analytics platform built on top of Apache Spark. Databricks acts as an UI layer, a WYSIWYG dashboard where you can create clusters, manage notebooks, write code and analyse data without knowing the internals of the system. Apache Spark is a unified analytics engine for large scale data processing and currently it supports popular languages such as Python, Scala,…