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- Azure Data Ingestion Architecture involves ingesting data into Azure through Data Factory in batches or streamed in almost real time with Apache Kafka, Azure Event Hubs, or IoT Hub1. The data is then stored in a data lake for long-term, persisted storage in Azure Data Lake Storage1. Azure Data Explorer has a rich connector eco-system for batch and near real-time ingestion, with Microsoft first party services as well as open source distributed systems2. Other Azure resources that are typically used for the data ingestion process include Databricks and custom functions and connectors3.Learn more:✕This summary was generated using AI based on multiple online sources. To view the original source information, use the "Learn more" links.For a big data pipeline, you can ingest the data (raw or structured) into Azure through Data Factory in batches or streamed in almost real time with Apache Kafka, Azure Event Hubs, or IoT Hub. This data lands in a data lake for long-term, persisted storage in Azure Data Lake Storage.learn.microsoft.com/en-us/azure/cloud-adoption-fra…Azure Data Explorer has a rich connector eco-system for batch and near real-time ingestion, with Microsoft first party services as well as open source distributed systems. It supports open source integration systems and aggregator, connector frameworks, like Apache Kafka’s Kafka Connect and ELK stack’s Logstash.techcommunity.microsoft.com/t5/azure-data-explor…This initial portion of any data architecture is the ingestion process. Data sources range from on-premises to a variety of cloud sources. There are a few Azure resources that are typically used for the data ingestion process. This includes Data Factory, Databricks, and custom functions and connectors.www.mssqltips.com/sqlservertip/7037/azure-data-l…
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Big data architectures - Azure Architecture Center | Microsoft Learn
- When working with very large data sets, it can take a long time to run the sort of queries that clients need. These queries can't be performed in real time, and often r…
- One drawback to this approach is that it introduces latency — if processing takes a few hours, a query may return results that are several hours old. I… See more
- A drawback to the lambda architecture is its complexity. Processing logic appear…
- The kappa architecture was proposed by Jay Kreps as an alternative to the lambd…
- There are some similarities to the lambda architecture's batch la… See more
- This article is maintained by Microsoft. It was originally written by the following co…
- Principal author: See more
- From a practical viewpoint, Internet of Things (IoT) represents any device that i…
- Event-driven architectures are central to IoT solutions. The following diagram sho…
- The cloud gateway ingests device events at the cloud boundary… See more
- See the following relevant Azure services:
- •Azure IoT Hub
- •Azure Event Hubs
- •Azure Stream Analytics See more
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