Why use AWS for Data Integration and Automation?

Amazon Web Services (AWS) offers a wide range of data analytics services for organizations of all sizes and industries, including data movement, storage, big data analytics, log analytics, streaming analytics, business intelligence, and machine learning, with purpose-built services that provide high performance and scalability.

Scalability

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.

Supreme performance for value

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.

Ease of Access

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.

Unified data access, security, and governance

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.

Machine learning (ML) integration

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 Data and Analytics Capabilities

Machine Learning
Advanced Analytics
Data Engineering
Data Warehouse/Data Lake
Data Modernization

We help you utilize Amazon SageMaker for end-to-end ML workflows, encompassing data preprocessing, model training, and deployment.

Streamline the process of building machine learning models
Facilitate data preprocessing, model training, and deployment, all within a unified platform
Integrate with other AWS offerings to enhance your applications with ML-driven insights
We help you integrate with services like AWS Lambda and Amazon Redshift

Partnering with AWS, Polestar provides a comprehensive suite of services for efficient data processing and analysis, empowering organizations to derive actionable insights from their data assets.

Facilitates processing vast data volumes via Amazon EMR and real-time streaming with Amazon Kinesis
Leverage Amazon QuickSight for interactive, scalable business intelligence
AWS Glue ensures seamless ETL tasks, enabling data integration from diverse sources
Utilize AWS Advanced Analytics to process, analyze, and visualize data at scale

Polestar's data engineers specialize in orchestrating and automating data workflows, ensuring robustness and scalability through services like Amazon Glue and Amazon Kinesis. Here's how we can help:

Implement automated workflows to streamline data pipelines and increase efficiency
Scale your data infrastructure effortlessly to accommodate growing demands
Ensure data integrity by employing rigorous validation and quality checks
Maintain high availability of your data systems through robust fault tolerance mechanisms.

Polestar offers the ability to harness Amazon Redshift's petabyte-scale data warehousing capabilities with columnar storage and parallel processing, complemented by Amazon S3 as a scalable and cost-effective data lake. Which helps you with:

Leverage Amazon Redshift for petabyte-scale data warehousing
Enable advanced analytics and machine learning on your data with ease
Harness parallel processing for faster query execution
Seamlessly integrate with other AWS services for comprehensive data management

Collaborating with Polestar, we transform outdated data systems into state-of-the-art, cloud-native architectures, utilizing AWS database migration services. We help you with:

Leverage AWS Schema Conversion Tool for efficient architecture transformation
Employ Amazon Lambda for serverless code execution
Access advanced insights using AWS-native data services
Migrate on-premises databases to the cloud effortlessly

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.

Get in touch

Simplifying Data Automation with AWS

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

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

Rapid deployment and scalability

Ingest & deploy data by leveraging Amazon Kinesis, AWS Import/Export Snowball, AWS Direct Connect, etc. Store your data, in any volume or format, using Amazon Simple Storage Service (S3). Query data across different data sources like databases, data lakes, & data warehouses.

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

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

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.

AWS Partnership for Data Management and Analytics