Advanced Analytics in AWS Made simple by Dufrain

Generate reliable predictions and insights from your streaming data with AWS Cloud Analytics Services.

Dufrain’s simplified approach to delivering AWS Inference and AWS Advanced Analytics is built on leading technology and consultancy expertise. Now your organisation can improve decision-making with an automated AWS Inference pipeline, AWS Data Lake solutions, and predictive analytics services in AWS, all built on a scalable cloud infrastructure.

AWS Inference and AWS Analytics

Outcomes for your business

Embed automated machine learning and large-scale AWS data analytics solutions into your organisation.

Leverage your existing streaming data sources to produce valuable AWS elastic inferences.

Empower your analysts with a scalable foundation for AWS data analytics to generate insights.

Enable your teams to visualise and report on previously inaccessible data.

We understand your challenges

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01 Time consuming data

Your sensors and IoT devices are constantly producing large volumes of new data, but capturing, transforming, storing, and securing this data in real-time is complex and time-consuming.

 

Your sensors and IoT devices are constantly producing large volumes of new data, but capturing, transforming, storing, and securing this data in real-time is complex and time-consuming.

 

Data-filled abstract computer screen, inaccessible to users

02 Inaccessible data

The volume and structure of your data makes it costly, difficult to work with and inaccessible to the wider analyst community whose business knowledge puts them in the best position to extract value from it.

The volume and structure of your data makes it costly, difficult to work with and inaccessible to the wider analyst community whose business knowledge puts them in the best position to extract value from it.

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03 Devalued investment

When you are unable to effectively leverage this data, your initial investment is devalued, and future investment is difficult to justify.

 

When you are unable to effectively leverage this data, your initial investment is devalued, and future investment is difficult to justify.

 

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04 Machine learning benefits

You want to employ machine learning and make accurate inferences from your streaming data, while providing your analysts with the right tools for actionable insights and reporting.

 

You want to employ machine learning and make accurate inferences from your streaming data, while providing your analysts with the right tools for actionable insights and reporting.

 

Dufrain’s AWS Analytics and AWS Inference solutions

We will support your AWS architecture and deliver:

Improved data management with continuous, real-time ingestion of your streaming data sources.

A fully managed and secured data lake, acting as a central repository to support advanced analytics and machine learning.

A fully automated and continually updating machine learning model to enhance your predictive capability.

A scalable foundation enabling your analysts to deliver insights and reporting on top of your data lake.

Dufrain can build scalable AWS advanced analytics and AWS elastic inference solutions, with transparent costing, that will grow with your business.

Architecture options

Here is one possible architecture option for AWS Inference acceleration and advanced AWS Analytics.

 

AWS Inference acceleration and advanced AWS Analytics

AWS Analytics and AWS Inference
solution components

AWS Lake Formation

A fully managed AWS analytics services designed to help teams build, secure, and manage data lakes in the AWS cloud. Lake Formation encompasses several AWS services including Amazon S3 (a secure, scalable, pay-as-you-go storage solution), AWS Glue (a serverless data integration services) providing a cloud-optimised ETL solution, and AWS Glue Data Catalog for automated data cataloguing.

Lake Formation allows you to quickly build a cost-effective data lake solution that can scale with your business and serve as a central data repository, eliminating the need for a complex and potentially costly data warehousing solution.

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Amazon Kinesis Data Streams

This scalable, high-capacity, real-time data streaming service is capable of ingesting gigabytes of data per second in a secure and durable way. Kinesis Data Streams supports native connectivity to your AWS data lake, meaning data can be collected, transformed, and stored in real-time, ready for downstream AWS data Analytics.

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Amazon SageMaker

An all-in-one, serverless machine learning platform. With SageMaker, you can leverage pre-built, cutting-edge machine learning models, and data from your AWS data lake, to quickly build and deploy production-ready predictive models, offering up predictions through a RESTful API interface.

SageMaker enables you to focus on using inference to improve customer experience and business efficiency, instead of focusing on the development of complex machine learning models from scratch and infrastructure deployment.

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AWS Lambda

AWS Lambda provides a serverless compute platform in the cloud. Rather than spending time and money manually deploying resources that are only utilised a fraction of the time, Lambda allows you to run your code whilst abstracting away the underlying resource management. This enables organisations to elastically scale resources as they are needed, meaning you only pay for the resources your code uses.

Lambda allows you to efficiently and cost-effectively transform application data which can then be passed to your model endpoint as a predictive input.

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Amazon Athena

This serverless, interactive query service allows users to query their Amazon S3 data lakes using standard SQL syntax. Athena connects natively to Glue Data Catalog to understand the structure of your data. You don’t need to manage the underlying infrastructure, you only pay for the queries you execute, making Athena a cost-effective solution that can scale with your data.

Athena provides an easy-to-use mechanism to analyse vast quantities of data, so your analysts can focus on delivering valuable business insights, rather than developing and maintaining complex ETL jobs.

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Amazon QuickSight

Amazon’s serverless business intelligence platform allows teams to visualise and report on data in their AWS data stores.

QuickSight supports native connectivity to your AWS data lake via Amazon Athena, enabling you to quickly create dashboards and MI reports which leverage the entirety of your data. This platform will help you build accurate pictures of historical trends, rather than being limited by traditional performance and cost concerns.

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Key considerations

Our model will protect your architecture from threats and ensure all the right people have access to all the right data.

Plan smarter, collaborate more effectively and develop faster using modern dev services.

Dufrain’s coding standards and delivery approach enables consistency, faster development, and ease for successful project delivery.

We will help you to understand cost predicting, cost control and cost monitoring.

Expert management of the availability, usability and integrity of your data.

Dufrain’s approach is always to automate tasks where possible to minimise time and costs.

We can also provide ongoing AWS Analytics Services and AWS Inference support following successful project delivery to manage change and maintenance for the long-term.

Key business benefits

Real-time data capture
Robust predictive capabilities
Actionable insights
Increased agility
Regulatory compliance
Comprehensive supporting documentation

Ultimately, you will benefit from having an automated, end-to-end AWS Inference pipeline, with a scalable cloud infrastructure. AWS data analytics services will empower your analyst community to deliver value through high-quality, actionable insights and reporting.

Your organisation will become pro-active in its decision making, while forming a deeper understanding of historical trends. Our AWS Analytics Services and AWS Inference solutions also provide a firm foundation for future internal development and expansion of your data science and AWS predictive analytics capabilities.

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