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Harmonious Data Framework

Our Harmonious Data Framework solution offers organisations a structured approach to streamlining data workflows and ensuring data integrity. Leveraging this existing data architecture allows businesses to capitalise on established frameworks, processes, and technologies, leading to cost efficiencies, scalability, risk mitigation, and interoperability. This comprehensive solution provides a complete framework for enterprise data management, facilitating accurate, relevant data flow management and offering monitoring tools for enhanced data governance and control.

Customer Pain Points

Complexity and Fragmentation

Organisations struggle with managing data across different systems and platforms, leading to complexity and fragmentation.

High Costs and Resource Constraints

Building a new data architecture from scratch is often costly and resource-intensive.

Data Inconsistency and Quality Issues

Inconsistent data formats, definitions, and quality issues can negatively affect data analysis and decision-making.

Lack of Interoperability and Integration

Incompatible data formats and systems limit data exploration, interoperability and integration efforts.
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Streamlined Data Management

Simplify data handling across various systems with a unified framework that integrates and centralises data, minimising complexity and fragmentation.


Cost Efficiency and Resource Optimisation

Save on expenses and efficiently utilise resources by building upon existing infrastructure, leveraging tools, and tapping into established expertise.


Enhanced Data Consistency and Quality

Improve data analysis and decision-making through standardised data models and governance processes that ensure data consistency and quality.


Scalable and High-Performing Architecture

Adapt to growing data volumes and user demands with an architecture designed for scalability and performance, ensuring smooth operation and optimal data processing.


Improved Interoperability and Integration

Facilitate seamless data exchange and collaboration across your organisation with a data architecture that supports interoperability and easy integration of diverse systems.


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Storage Services
Amazon Simple Storage Service (S3) for storing and retrieving data at any scale, Amazon Elastic Block Store (EBS) for EC2 instances and Amazon Elastic File System (EFS) for fully managed file storage for EC2 instances.
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Relational Databases
Amazon Relational Database Service (RDS) is a managed relational database service that supports multiple database engines such as MySQL, PostgreSQL, SQL Server, and Oracle. Amazon Aurora is a high-performance managed relational database compatible with MySQL and PostgreSQL. Amazon Redshift is a fully managed data warehouse service for analytics workloads.
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NoSQL Databases
Amazon DynamoDB is a fully managed NoSQL database service offering seamless scalability and low-latency performance. Amazon DocumentDB is a fully managed document database compatible with MongoDB workloads.
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Data Warehousing
Amazon Redshift is a fully managed data warehouse service for analytics and business intelligence workloads.
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Data Integration Capabilities and ETL
AWS Glue is a fully managed extract, transform, and load (ETL) service for data integration. AWS Data Pipeline is an orchestration service that automates data movement and transformation workflows. AWS Database Migration Service (DMS) is a service that migrates databases to AWS quickly and securely.
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Data Lake
Amazon S3 is used as the foundation for building data lakes, storing structured and unstructured data at scale. AWS Lake Formation is a service for setting up and managing data lakes on AWS, including data ingestion, cataloguing, and security
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Data Analytics and Business Intelligence
Amazon Athena is a serverless query service for analysing data stored in Amazon S3 using standard SQL. Amazon QuickSight is a cloud-native business intelligence service that builds interactive dashboards and visualisations. Amazon EMR is a managed big data platform for processing and analysing large datasets using open-source frameworks like Apache Hadoop and Apache Spark.
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Machine Learning and AI Capabilities
Amazon SageMaker is a fully managed service for building, training, and deploying machine learning models at scale. Amazon Rekognition is a deep learning-based image and video analysis service. Amazon Comprehend is a natural language processing (NLP) service that extracts insights and relationships from text.
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Data Backup and Disaster Recovery
Amazon Backup is a fully managed backup service for backing up data stored on AWS.
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Monitoring and Logging
Amazon CloudWatch is a monitoring and observability service for AWS resources, providing metrics, logs, and alarms.

By utilising our Harmonious Data Framework solution, you can simplify data management, boost accuracy, and accelerate data-driven projects, all while aligning seamlessly with your business goals cost-effectively. Enjoy peace of mind regarding data quality and integrity, as this solution delivers a scalable, secure, and compliant foundation for business growth and innovation.

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