Cloud Transformation and Migration Services

Accelerate digital transformation on the cloud

Home / Data Engineering / Cloud Transformation

Data foundation on the cloud for performance enhancement

Sigmoid’s cloud transformation services accelerate and modernize data foundations by implementing, migrating, and optimizing cloud performance. We offer one-stop solution to implement advanced data warehouse platform, modernize cloud data warehouse, migrate data, and build robust data pipelines. We enable organizations to build robust cloud data pipelines at up to 40% lower costs than on-premise data warehouses. Our cloud data management, data lake and cloud data warehouse services help enterprises to capture, store and analyze large volumes of data with scalable systems delivering a high performance of real-time analytics workloads. This helps businesses increase performance, scalability, and security with high uptime and secure, seamless access to quality data.

eBook

A guide to cloud data warehousing

Find out how enterprises can reap multiple benefits from cloud data warehouse, transform to a cloud-first data strategy and drive successful analytics initiatives.

Download eBook
cloud data warehousing ebook

Strengthen analytics infrastructure with cloud data warehouse services

Warehouse Modernization icon

Warehouse Modernization

Build a cloud data warehouse to enable faster, flexible and self-service BI reporting.

Cloud Data Migration icon

Cloud Data Migration

Migrate all data seamlessly from legacy on-premise systems or one cloud platform to another.

Data strategy icon

Data Monetization Strategies

Develop robust solutions on cloud data lake to solve diverse use cases enabling data monetization.

Technology Consulting icon

Technology Consulting

Evaluate various cloud and open-source technologies through benchmarking and consulting.

Reckitt's cloud optimization journey with Sigmoid

“Sigmoid has been a vital part of our success story. They are highly skilled and knowledgeable in managing data in multi-cloud environments and with their expertise we have been able to achieve cloud cost visibility at an appropriate level across our cloud infrastructure.”

Aritro Ghosh

IT&D Senior Data Engineering Manager, Reckitt

Our framework for cloud data warehouse solution to accelerate your digital journey

Sigmoid’s cloud migration process enables organizations to assess cloud maturity, design robust adoption strategy, migrate from on-premise to cloud as well as optimize costs and resources in the long run.


cloud transformation framework

Customer success stories

Our other offerings in data engineering

Data Pipelines icon

Data Pipelines

Build robust automated pipelines to streamline huge volumes of data and optimize query performance to generate faster insights.

Deploying ml models icon

ML Engineering

Strengthen ML model lifecycle management and accelerate the time to business value for AI projects with robust ML engineering services.

DataOps Service icon

DataOps

Managed services to help automate end-to-end enterprise data infrastructures for agility, high availability, better monitoring, and support.

Insights and perspectives

Blog future of data storage

Cloud data warehouse is the future of data storage

Infographic data strategy on the cloud

Checklist to evaluate a data strategy on the cloud

Webinar Analytics with Cloud Data Warehouse

Amplifying business value with cloud data warehouse

Lower your cloud costs by up to 65%!

Be it defining a cloud roadmap, migration, or increasing productivity, let Sigmoid be your go-to partner for cloud transformation.

FAQs

Cloud migration addresses infrastructure modernization challenges by enabling businesses to seamlessly transition their data and applications to the cloud. It eliminates the need for costly on-premises infrastructure, offering benefits such as scalability, flexibility, and cost-efficiency. By migrating to the cloud, businesses can leverage advanced cloud services, such as data analytics and AI/ML, to drive innovation and improve operational efficiency

A modern data architecture on the cloud can help businesses consolidate and integrate their data while also ensuring that it is accurate, consistent, and secure. By embracing cloud-based data architectures, organizations can automate data quality checks, ensure better data governance capabilities, and implement robust security measures to protect against unauthorized access, cyber-attacks, and other threats.

Businesses migrate from on-premise infrastructure to the cloud to gain enhanced data accessibility, advanced analytics capabilities, scalable computing resources, integration with AI/ML, and the ability to rapidly prototype and experiment. This enables decision-makers to access real-time data, gain deeper insights, leverage powerful analytics tools, and collaborate effectively, resulting in more data-driven and agile decision-making processes.

A cloud data warehouse can easily scale data storage and processing capabilities to accommodate growing data volumes and analytical demands. The flexibility it offers allows for seamless integration with various data sources, enabling businesses to consolidate and analyze data from multiple channels. It eliminates the need for upfront hardware investments and offer a pay-as-you-go pricing model, resulting in cost savings. With these advantages, businesses can derive valuable insights and generate comprehensive reports.

Increase productivity by over 30% with DataOps!

Enjoy a smoother transition to the cloud and enable better digital transformation strategies with our proven DataOps services.

Lower your cloud costs by up to 65%!

Be it defining a cloud roadmap, migration, or increasing productivity, let Sigmoid be your go-to partner for cloud transformation.