Build Data Lake platforms in the cloud
The Challenge
Multiple Sources
Data is scattered across various sources without a common repository that provides an effective overview
Unstructured Data
Information is stored in various formats both structured and unstructured data
No Visibility/No Insights
The desired data exists but it is not processed, integrated and analyzed in order to provide meaningful insights
The Solution
Provide a Data Lake centric Architecture to store all existing data regardless of source, structure or format
Architect, Design and Model a Warehouse solution that integrates all existing information into a quarriable and analysable structure
Set up Data Ingestion mechanisms to move data from both legacy and new data sources to and from the Data Lake
Enforce data Lifecycle Management strategies for data archival and retrieval
Create Data transformation and Visualisations on top of the Architecture in order to provide new insights and predictions
The Business Impact
Solution is capable of both vertical and horizontal scaling when data increases
Service oriented, pay only for what you use
Backend infrastructure can be connected to most of the existing BI and Visualisation tools
Users can have data as it was intended, as diverse but integrated whole, being capable of providing them with the information needed for their day-to-day operations
Users take control of how they store, load, transform and interpret their data
Analytics and Visualisations will allow users to better understand their processes and give them insights into their business
