Table of contents
1.
Introduction 🌼
2.
AWS Kinesis Data Streams 📊
3.
Usages ✳️ 
3.1.
Intake and processing of log and data feed at a faster rate
3.2.
Real-time reporting and metrics
3.3.
Data analytics in real-time
3.4.
Sophisticated stream processing
4.
Advantages 🟩
5.
How It Works 🌐
6.
Security 🔐
7.
Frequently Asked Questions❓
7.1.
What is the usage of AWS?
7.2.
What is the full form of AWS?
7.3.
Is AWS a good career choice?
7.4.
Is coding required for AWS?
7.5.
Is it challenging to learn AWS?
8.
Conclusion
Last Updated: Mar 27, 2024

Amazon Kinesis Data Streams

Author Shiva
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Introduction 🌼

Amazon's cloud computing platform, AWS (Amazon Web Services), is extensive and constantly expanding. It combines infrastructure as a service (IaaS), platform as a service (PaaS), and packaged software as a service (SaaS) products. An enterprise may benefit from AWS services by receiving tools like computing power, database storage, and content delivery services.

aws introductory

Amazon.com developed an internal infrastructure to manage its online retail activities, and AWS was introduced in 2006. One of the first businesses to offer a pay-as-you-go cloud computing model that scales to meet users' demands for computation, storage, or throughput was Amazon Web Services (AWS).

One of AWS's services for big data management and analytics, Amazon Kinesis, offers several tools for processing and analyzing streaming data. In this article, we will go through Amazon Kinesis Data Streams.

AWS Kinesis Data Streams 📊

With Amazon Kinesis Data Streams, massive data streams may be immediately captured and handled. Applications that process data using Kinesis Data Streams can be created. Data records are read from a data stream by a typical Kinesis Data Streams application. These programs can run on Amazon EC2 instances and utilize the Kinesis Client Library. The processed records may also be delivered to various other AWS services, dashboards, notifications, real-time pricing and advertising changes, and more.

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Usages ✳️ 

Kinesis Data Streams can be used for quick and continuous data ingest and aggregation. Data from social media, market data feeds, IT infrastructure logs, application logs, and web clickstreams are a few examples of the types of data that can be used. The processing is typically lightweight because data intake and processing are real-time processes.

kinesis

The following use cases for Kinesis Data Streams include:

Intake and processing of log and data feed at a faster rate

Data can be directly pushed into a stream by the producer. For instance, by creating them, you may swiftly process system and application logs. In the case that the front end or application server fails, this keeps the log data from being lost. Kinesis Data Streams delivers quicker data feed intake because you don't batch the data on the servers before you submit it for intake.

Real-time reporting and metrics

Simple real-time reporting and analysis can be done with the help of data collected into Kinesis Data Streams. Your data-processing application, for example, can work on metrics and reporting for system and application logs as the data is pouring in rather than waiting for batches of data to arrive.

Data analytics in real-time

This combines the value of real-time data with the strength of parallel processing. Process website clickstreams in real-time, for instance, and then use multiple similar Kinesis Data Streams applications to analyze user engagement with the website.

Sophisticated stream processing

Applications and data streams for Kinesis Data Streams can be turned into Directed Acyclic Graphs (DAGs). Typically, this entails combining data from various Kinesis Data Streams applications into a single stream for processing by an additional Kinesis Data Streams application later.

Advantages 🟩

advantages imag

Numerous streaming data problems can be resolved using Kinesis Data Streams. Nevertheless, real-time data aggregation and subsequent loading of the aggregate data into a data warehouse or map-reduce cluster are two common applications.

  • ​​Kinesis data streams, which guarantee elasticity and durability, are used to store data. The put-to-get delay, which measures how long it takes to retrieve a record after it has been added to the stream, is typically under one second. In other words, almost immediately after the data is added, a Kinesis Data Streams application can begin consuming the data from the stream. 
     
  • Kinesis Data Streams' managed service feature relieves you of the administrative burden of setting up and maintaining a data intake pipeline. Applications of the type for streaming map-reduce can be made. Kinesis Data Streams can be scaled up or down as necessary to guarantee that no data records are lost before they expire.
     
  • Data from a stream can be consumed by many Kinesis Data Streams apps, enabling numerous independent and parallel activities like processing and archiving. Two applications, for instance, could read data from the same stream. While the second application archives and compresses data to a data store like Amazon Simple Storage Service, the first application calculates running aggregates and updates an Amazon DynamoDB table (Amazon S3). A dashboard then reads the DynamoDB table with running aggregates for current reports.

 

  • The Kinesis Client Library enables scaling support for Kinesis Data Streams applications and fault-tolerant data consumption from streams.

How It Works 🌐

confused clip-art image

The high-level architecture of Kinesis Data Streams is shown in the diagram below. Consumers process the data in real-time as it is continuously pushed from producers into Kinesis Data Streams. Customers can save their results using an AWS service like Amazon DynamoDB, Amazon Redshift, or Amazon S3, such as a bespoke application running on Amazon EC2 or an Amazon Kinesis Data Firehose delivery stream.

how kinesis works image

Security 🔐

Cloud security is of the utmost importance to AWS. You will profit as an AWS customer from a network and data center architecture designed to satisfy the needs of the most security-conscious businesses.

security image

AWS and you both share responsibility for security. This is referred to as “security of the cloud” and “Security in the cloud” in the shared responsibility model.

  • Security of the cloud: AWS is in charge of defending the system that powers AWS services on the AWS Cloud. You can use the security services that AWS offers you. As part of the AWS compliance initiatives, third-party auditors regularly evaluate and confirm the efficacy of our security. See AWS Services in Scope by Compliance Program to learn more about the compliance programs that apply to Kinesis Video Streams.
  • Security in the cloud: The AWS service you utilize will decide your obligation. Other aspects, such as the sensitivity of your data, the needs of your company, and any applicable rules and regulations, are also your responsibility.

Frequently Asked Questions❓

What is the usage of AWS?

The most adaptable and safe cloud computing platform currently available in AWS is designed to be both. The military, significant banks, and other highly sensitive institutions' security requirements were taken into consideration when building its core infrastructure.

What is the full form of AWS?

AWS stands for Amazon web services. It offers cloud computing platforms and APIs.

Is AWS a good career choice?

AWS is a viable job choice for a recent graduate. AWS is a strong option because it has dominated the cloud computing business for about 6 years and is not likely to lose market share very soon.

Is coding required for AWS?

You do not need to be a programmer to work in the AWS industry; programming skills are only necessary for jobs in the development sector.

Is it challenging to learn AWS?

Before starting AWS training, you should be aware of some technological principles because there is a steep learning curve: The connection between a client (such as your laptop's browser) and a server is known as client-server technology (the machine sitting on the back end receiving your browser requests).

Conclusion

This article covers everything you need to know about Amazon Kinesis Data Streams. Still have more questions; Here are some articles for rescue:

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