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AWS Partnership for Data Management and Analytics

AWS Partnership for Data Management and Analytics

Empower your systems for Seamless Data Management and Analytics through Strategic AWS Collaboration

Why use AWS for Data Integration and Automation?

Amazon Web Services (AWS) provides the broadest selection of data analytics services that fit all your needs and enables organizations of all sizes and industries to reinvent their businesses. From data movement, data storage, data lakes, big data analytics, log analytics, streaming analytics, business intelligence, and machine learning (ML) to anything in between, AWS offers purpose-built services that provide the best price-performance and scalability.

AWS for Data Integration
  • Unmatched availability of Amazon S3 provides the scale, agility, and flexibility required to combine different data and analytics approaches.
  • Build and store your data lakes on AWS to gain deeper insights than with traditional data silos and data warehouses allow.
  • Foundational layer to simplify data integration, management and governance tasks.
  • AWS analytics services are purpose-built to help you quickly extract data insights using the most appropriate tool for the job
  • Optimized to give you the best performance, scale, and cost for your needs.
  • Range of serverless options for data analytics in the cloud including options for data warehousing, big data analytics, real-time data, data integration.
  • AWS managed underlying infrastructure so you can focus on solely on your application.
  • Manage your security, governance, and auditing policies to satisfy industry and geography-specific regulations.
  • Access your data wherever it lives, and keep your data secure no matter where you store it.
  • Built-in ML integration as part of its purpose-built analytics services.
  • Build, train, and deploy ML models using familiar SQL commands, without any prior machine learning experience.

Shift to real time analytics on the Modern DWH hosted on AWS

Polestar's AWS

Polestar's AWS Data and Analytics Capabilities

Utilize Amazon SageMaker for end-to-end ML workflows, encompassing data preprocessing, model training, and deployment. Polestar optimizes the rich set of services provided by AWS enabling you to create and deploy models efficiently, while also integrating with other AWS offerings to enhance your applications with ML-driven insights.

Machine Learning

Polestar enables you to process vast amounts of data using services like Amazon EMR, and perform real-time data streaming using Amazon Kinesis. Utilize Amazon QuickSight for interactive and scalable business intelligence. AWS Glue ensures seamless ETL tasks, enabling data integration across various sources. With AWS Advanced Analytics, you can process, analyze, and visualize data at scale, empowering data-driven decision-making.

Advanced Analytics

Leveraging services like Amazon Glue and Amazon Kinesis, Polestar's data engineers help you to seamlessly orchestrate and automate data workflows, ensuring data integrity, scalability, and high availability.

Data Engineering

Polestar enables you to utilise the capabilities of Amazon Redshift to petabyte-scale data warehousing with columnar storage and parallel processing, while Amazon S3 serves as a scalable and cost-effective data lake.

Data Warehouse/Data Lake

Transform legacy data systems into modern, cloud-native architectures By leveraging AWS database migration services and AWS Schema Conversion Tool. Services like Amazon Lambda allows you to run code without provisioning or managing servers, enabling advanced insights through AWS-native data services and seamlessly migrate on-premises databases to the cloud.

Data Modernization
AWS's Cloud-Powered Excellence

Ready to Elevate Your Business with AWS's Cloud-Powered Excellence?

  • Enjoy AWS's elastic scalability for a responsive and efficient IT infrastructure.
  • Leverage AWS's comprehensive suite of services for streamlined end-to-end data management.
  • Ensure data integrity and availability with AWS's globally distributed and secure cloud architecture.
  • Optimize resource utilization and costs through AWS's advanced cloud computing solutions.
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Simplifying Data Automation with AWS

Broadest selection of analytics services
Broadest selection of analytics services

Each analytics service is purpose-built for a wide range of analytics use cases such as interactive analysis, big data processing, data warehousing, real-time analytics, operational analytics, dashboards, and visualizations.

Reduce downtime & improve capacity utilization
Reduce downtime & improve capacity utilization

Polestar helps you to rationalize your cloud and server spends By reducing Mean Time to Detect (MTTD) and Mean Time To Respond (MTTR), you can focus on fixing problems just as quickly as identifying them.

Rapid deployment and scalability
Rapid deployment and scalability

Polestar helps you to easily start ingesting and deploying data by leveraging Amazon Kinesis, AWS Import/Export Snowball, AWS Direct Connect, and more. Store your data, regardless of volume or format, using Amazon Simple Storage Service (Amazon S3). You can also query data across different data sources such as databases, data lakes, and data warehouses.

Platform integration
Platform integration

AWS provides built-in ML integration as part of its purpose-built data stores and analytics services, allowing you to create, train, and deploy ML models using familiar languages like SQL.

Rich ML libraries
Rich ML libraries

Access to 100+ libraries and state of the art architectures for agile data engineering and analytics

Price-performant
Price-performant

AWS is committed to providing the best performance at the lowest cost across all analytics services, and we are continually innovating to improve the price performance of our services.

Client Success Stories
Streamlines Sales Data And Reporting System With AWS And Power BI
Streamlines Sales Data And Reporting System With AWS And Power BI

Fastest growing food delivery brand in India revamped their sales analytics application to decrease reporting TAT

  • 90%

    Reduction in Sales Reports processing time

  • 2230

    Daily reduction in number of man hours

View Case study

Transform your Data Storage and Analytics arsenal with the power of AWS

3X faster with Amazon EMR than standard Apache Spark
5X cost-effective than other cloud data warehouses
70% savings on storage cost for data in data lakes
100 Tn processing requests per month with Amazon OpenSearch Service
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