What is Azure Event Hubs
& How It Works?
November 23, 2020 by Akshay Tondak Leave a Comment
Big data has revolutionized the way we do business. Analyze information in
real-time to capture actionable insights can be the difference between
maintaining your edge and lagging behind. But, building the right
infrastructure to manage your constant flow of data becomes complex.
Azure Event Hubs streamline your data pipelines for you. So, the journey
from input to insights is seamless.
In this blog post, we are going to cover Event Hubs, the architecture of the
event hub, Event grid, components of event grid, and Data ingestion with
Azure Event Hubs
Azure Event Hubs are designed for big data ingestion from a different variety
of sources such as social data, web apps, sensor data, and weather data, IoT
It is sure that we can receive events from a variety of sources, fast, and an
order, store events reliably and durably.
It also supports multiple consumers and consumer groups for quick and
concurrent data processing.
We can choose to capture all incoming data in Azure Storage, or we can also
decide to trigger Azure Functions in response to new events.
We can process data streams using spark, or we can write our own systems
for data processing and receiving events from Azure Event Hubs.
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What Is The Need Of Azure
Big Data is advantageous only when there is a simple way to process and
get timely insights from data sources. Event Hubs offers a distributed stream
processing platform service with low latency and smooth integration, with
data and analytics services inside and outside Azure to construct your entire
big data pipeline.
1) Completely managed Platform-as-a-Service (PaaS)
Event Hubs is a completely managed Platform-as-a-Service (PaaS) with
minor configuration or management above, so you concentrate on your
Event Hubs for