End-to-End
Data Solution
Unlock the full potential of your data with All Data International. From ingestion to analytics, we deliver cloud-native, scalable, and secure solutions tailored to your business needs.
End-to-End Data Solution
In today’s digital era, data is the most valuable asset for any organization. Managing it effectively requires a solution that is comprehensive, secure, and built for growth.
All Data International offers a End-to-End Data Solution, covering the entire data lifecycle from ingestion (streaming & batch), storage, processing, analytics, to visualization.
Powered by Amazon Web Services (AWS) and strong data governance, our solution guarantees scalability, security, and high availability.
Our Solution Includes
With years of experience designing and implementing modern data platforms,
our team helps organizations integrate, process, and analyze data faster, while reducing infrastructure complexity.
Lightning-Fast Data Ingestion
Using Amazon Managed Service for Apache Kafka, Amazon Managed Service for Apache Flink, Apache NiFi (on EC2), and Amazon MWAA for workflow orchestration.
Modern Lakehouse Architecture
Built on Amazon S3 with modern query engines such as Snowflake or ClickHouse for fast analytics at scale.
AI-Powered Analytics
Machine learning model development and deployment with AWS SageMaker, processed outputs stored in Amazon Aurora, and advanced business intelligence powered by Tableau.
Enterprise-Grade Security
Designed with a strong governance framework and delivered with a warranty phase, ensuring seamless operations and reliable performance.
High Level Architecture
This solution is designed for those who
- Still operate fully or partially on on-premises systems but face rapid data growth requiring scalable cloud storage.
- Are looking to modernize legacy architectures with cloud-based data solutions.
- Struggle with scattered or unstructured data, resulting in higher storage costs.
- Have not yet implemented a formal Data Governance framework.
- Lack dedicated data science or analytics teams, and need expertise to build dashboards or develop machine learning models.