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articles/time-series-insights/ingestion-rules-update.md

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# Upcoming changes to JSON flattening and escaping rules for new environments
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[!INCLUDE [retirement](../../includes/tsi-retirement.md)]
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> [!IMPORTANT]
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> These changes will be applied to *newly created* Microsoft Azure Time Series Insights Gen2 environments only. The changes don't apply to Gen1 environments.
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articles/time-series-insights/migration-to-adx.md

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# Migrating to Azure Data Explorer
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[!INCLUDE [retirement](../../includes/tsi-retirement.md)]
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## Overview
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Time Series Insights (TSI) service provides access to historical data ingested through hubs for operational analytics and reporting. Service features are:

articles/time-series-insights/overview-use-cases.md

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# Azure Time Series Insights Gen2 use cases
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[!INCLUDE [retirement](../../includes/tsi-retirement.md)]
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This article summarizes several common use cases for Azure Time Series Insights Gen2. The recommendations in this article serve as a starting point to develop your applications and solutions with Azure Time Series Insights Gen2.
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Specifically, this article answers the following questions:

articles/time-series-insights/quickstart-explore-tsi.md

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# Quickstart: Explore the Azure Time Series Insights Gen2 demo environment
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[!INCLUDE [retirement](../../includes/tsi-retirement.md)]
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This quickstart gets you started with an Azure Time Series Insights Gen2 environment. In the free demo, you tour key features that have been added to Azure Time Series Insights Gen2.
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The Azure Time Series Insights Gen2 demo environment contains a scenario company, Contoso, that operates two wind turbine farms. Each farm has 10 turbines. Each turbine has 20 sensors that report data every minute to Azure IoT Hub. The sensors gather information about weather conditions, blade pitch, and yaw position. Information about generator performance, gearbox behavior, and safety monitors also is recorded.

articles/time-series-insights/time-series-insights-add-reference-data-set.md

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# Create a reference data set for your Azure Time Series Insights Gen1 environment using the Azure portal
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[!INCLUDE [retirement](../../includes/tsi-retirement.md)]
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> [!CAUTION]
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> This is a Gen1 article.
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articles/time-series-insights/time-series-insights-authentication-and-authorization.md

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# Authentication and authorization for Azure Time Series Insights API
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[!INCLUDE [retirement](../../includes/tsi-retirement.md)]
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Depending on your business needs, your solution might include one or more client applications that you use to interact with your Azure Time Series Insights environment's [APIs](/rest/api/time-series-insights/reference-data-access-overview). Azure Time Series Insights performs authentication using [Azure AD Security Tokens based on OAUTH 2.0](../active-directory/develop/security-tokens.md#json-web-tokens-and-claims). To authenticate your client(s), you'll need to get a bearer token with the right permissions, and pass it along with your API calls. This document describes several methods for getting credentials that you can use to get a bearer token and authenticate, including using managed identity and Azure Active Directory app registration.
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## Managed identities

articles/time-series-insights/time-series-insights-concepts-retention.md

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# Understand data retention in Azure Time Series Insights Gen1
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[!INCLUDE [retirement](../../includes/tsi-retirement.md)]
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> [!CAUTION]
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> This is a Gen1 article.
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articles/time-series-insights/time-series-insights-customer-data-requests.md

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# Summary of customer data request features
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[!INCLUDE [retirement](../../includes/tsi-retirement.md)]
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Azure Time Series Insights is a managed cloud service with storage, analytics, and visualization components that make it easy to ingest, store, explore, and analyze billions of events simultaneously.
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[!INCLUDE [gdpr-intro-sentence](../../includes/gdpr-intro-sentence.md)]

articles/time-series-insights/time-series-insights-diagnose-and-solve-problems.md

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# Diagnose and solve issues in your Azure Time Series Insights Gen1 environment
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[!INCLUDE [retirement](../../includes/tsi-retirement.md)]
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> [!CAUTION]
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> This is a Gen1 article.
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articles/time-series-insights/time-series-insights-environment-mitigate-latency.md

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# Monitor and mitigate throttling to reduce latency in Azure Time Series Insights Gen1
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[!INCLUDE [retirement](../../includes/tsi-retirement.md)]
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> [!CAUTION]
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> This is a Gen1 article.
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