We live in a world driven by data and every second we are processing a large amount of data, using it, analysing it, and transforming it. Data is very essential for businesses these days. Therefore the need for handling the Dynamically generating data is important. As the number, variety, and velocity of data sources grow, new architectures and technologies are needed. This is where the need for data streaming services is needed. One of these streaming services is AWS Kinesis data stream.

What is Kinesis data stream?

Kinesis data stream is a real time data streaming service from AWS. It is a highly scalable service which can stream gigabytes of data per second. It is a highly fast streaming service enabling us to collect data in real-time instantly.

Common challenges in data streaming:

• Complex setup
• Scalability
• Hard to achieve high availability
• Integration requires development
• Expensive to maintain.

Why choose Kinesis data streams?

There are different streaming services available on the market but why and when should we use Kinesis data stream? To answer this question let us look at some advantages of it.

• Easy to use: It allows us to rapidly develop applications by providing us AWS SDK, Kinesis Client library, connectors and agents which are. Easily process data with built-in integrations to AWS Lambda, Amazon Kinesis Data Analytics, and AWS Glue Schema Registry.
• Real-time performance: highly fast streaming service enabling us to collect data in real-time instantly.
• Elastic: Dynamically scale your applications. These data streams scale from megabytes to terabytes per hour, and scale from thousands to millions of PUT records per second.
• Low cost: It has no upfront cost, and you only pay for the resources you use.

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