Amazon Kinesis
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AWS KINESIS: DRIVE BUSINESS DECISIONS WITH REAL-TIME ANALYTICS

BySanjeev Digital

What is Amazon Kinesis?

 

In its most straightforward meaning,

is an Amazon Web Service designed to process multi-scale data streams from different services in real-time. It operates as a middle service between various data-generating sources, allowing other applications to work with the sourced data.

 

One of the benefits of Kinesis is that it facilitates the processing and analysis of data almost immediately, rather than waiting for a dataset to show itself, then processing and analyzing it. Inferences can be drawn within minutes and not hours or days. Kinesis makes this possible without a complicated setup since it is delivered as a managed platform, implying that no infrastructure management is required.

 

What are the key components of Amazon Kinesis?

 

  • Amazon Data Streams can be used for continuous and quick data intake and aggregation. Data from social media, market feeds, IT logs, and web clickstreams can be used. Overall processing is often lightweight since response time for data and processing occurs instantaneously. Businesses can capture gigabytes of data in one second from various systems and applications. This data is then sent to the Kinesis Data Streams and stored for analysis and processing. Confidential data can also be processed using a Virtual Private Cloud.

 

A few cases of data stream include:

  1. Real-time metrics and reporting: This is one of the key benefits of Amazon Kinesis. Data gathered in the data streams can be used for real-time analysis. Instead of waiting for batches to arrive, the application can work on metrics and reporting for the application logs as the data flows in. Delays are avoided, and results can be acquired immediately.
  2. Real-time data analytics: The data gathered and the strength of parallel processing is combined. Several Kinesis Data Streams can be used to process website clickstreams in real time and assess user engagement with the site. Other metrics and parameters can also be evaluated with speed and accuracy.
  3. Faster log and data feed intake and processing: Producers can use push systems and application logs which can be ready in seconds. The log data is kept secure even if the front-end application crashes.
  4. Complex stream processing: Kinesis Data Stream apps can be used to generate Directed Acyclic Graphs (DAGs). This often involves transferring data from multiple data streams into another stream for processing by a different Kinesis application.

 

As understood from the above, Kinesis Data Streams have several advantages. They are listed below.

  1. Ease of use: Kinesis stream can be created within seconds. Data can be added quickly to the stream, and a Kinesis application can be created for processing with the Kinesis Producer Library and Kinesis Client Library.
  2. Reliability: Amazon Kinesis Data Stream duplicates the streaming data in a synchronized fashion across many AWS facilities, preventing data loss in case failures occur in applications, machines or infrastructure.
  3. Cost-effective: One only pays for resources that one uses with Amazon Kinesis Data Streams, and there are no upfront costs.
  4. Simultaneity in processing: Amazon Kinesis Data Streams enable running several Kinesis Applications on the same stream simultaneously.

 

Amazon Kinesis Data Analytics is a newer machine learning feature within Amazon Web Services. It functions as a real-time processing engine that enables the creation and running of SQL queries to extract information from the data. It provides the data streams with the output or outcomes. A feature called “hotspots” improves the capabilities of the current machine learning feature. Users can also drag and drop unchecked streaming-based machine learning algorithms.

  1. Kinesis Data Analytics supports creating applications in commonly used languages, including SQL, Java, Scala, and Python. It also acts as an integrator with several Amazon Web services.

 

How Does Amazon Kinesis Help in Improving Business

 

  1. Real-time analysis: Traditionally, analysis is executed through a batch processing approach, but AWS Kinesis can generate real-time analytics. Remedial measures for upscaling and improvising can then be taken faster without delays. Using accurate insights goes a long way in helping businesses take the right action to upscale and achieve more efficiency.
  2. Scalability: AWS cloud facilitates scalability, and Amazon Kinesis is no exception. AWS Kinesis can automatically scale infrastructure and resources to handle different streams with minimal errors.
  3. Security: Data streams are highly secured by Identity and Access Management. It facilitates data protection by using Key Management Service Keys by default.
  4. Building applications: AWS Kinesis has an integrative model which makes it easier to build customized applications for businesses.

 

Amazon Kinesis is an asset to technology that will enable speeding up processes and analysis of resources. An AWS partner should be entrusted with making an organization aware of its features. Continuum Innovations is the right fit for the job, as we offer customized cloud solutions for your unique business needs. Visit www.continuuminnovations.com for more.