Leverage data streaming solutions with Amazon Kinesis
Businesses today need to work with massive amounts of data from different sources. Log data from servers, clickstream data from websites and applications, and telemetry data from Internet of Things (IoT) devices are just some of them. These varied data streams help businesses to learn more about their customers, applications, and products. Analyzing this data in real time is essential to monitor applications, ensure high service uptime, and personalize promotional offers and product recommendations. This requires ingesting massive amount of data in real time to build dashboards for business users to make business-critical decisions. While real-time processing with this kind of real data made available in seconds or minutes instead of hours or days can provide more accurate and actionable insights, many challenges need to be addressed first.
Analyze data streams in real time with TCS’ Amazon Kinesis service
Leveraging Amazon Kinesis Data Streams, TCS helps organizations eliminate real-time data analytics challenges around capturing, processing, and storing massive data streams. Amazon Kinesis is a managed, scalable, cloud-based service designed for real-time applications. It allows users to analyze massive amounts of data from several sources, scaling data up and down as required. Amazon Kinesis makes it easy to collect, process, and analyse data in real time to get timely insights and react quickly. It captures, stores, and processes data such as video, audio, application logs, website clickstreams, and IoT telemetry data for machine learning from distributed streams. The data can then be distributed to multiple consumers simultaneously.
We make the most of Amazon Kinesis to help enterprises process streaming data at any scale. Flexibility is another advantage we provide with tools that best suit the requirements of an application. Making all of this possible are Amazon Kinesis capabilities such as:
Amazon Kinesis Video Streams. This securely streams video from connected devices to AWS for analytics, machine learning (ML) programs, and other kinds of data processing.
Amazon Kinesis Data Streams. A scalable and durable real-time data streaming service, it continuously captures gigabytes of data per second from multiple sources.
Amazon Kinesis Data Firehose. This captures, transforms, and loads data streams into AWS data stores for near real-time analytics with existing BI tools.
Amazon Kinesis Data Analytics. Simplifying streaming data processing is this solution, which processes data streams in real time with SQL or Apache Flink without programming languages or processing frameworks.
By making it easy to process and analyze data as it streams in, we help businesses respond to market demands faster.
Whether it's building real-time applications or real-time data processing, we help them achieve scale, save costs, enhance throughput, and innovate faster with agility. Customers across industries are benefiting from:
Real-time processing−Collect and analyze information like stock prices in real time without waiting for data-out report.
Ease of use−Users can create a new stream, set its requirements, and start streaming data quickly.
Integration with other Amazon services−Amazon Kinesis can be easily integrated with Amazon Redshift to analyze structured and semi-structured data, Amazon S3 for Storage, and Amazon DynamoDB for turning data stream to table format and capture any changes to that data.
Build Kinesis applications−Application developers can make the most of Amazon Kinesis’ Client Library to design real-time data processing applications. Once added to Java applications, users will receive notifications when new data is available for processing.
Cost-efficiency−Amazon Kinesis is cost-efficient for workloads of any scale. It works on a ‘pay as we go’ model and users can pay for resources on an hourly basis.