Analysis
SparQ meticulously analyses usage accesses data volumes, catalogues all relevant data, takes stock of the metadata inventory, identifies and evaluates data sources, and thoroughly examines your existing systems. This comprehensive process is aimed at planning for a seamless transition.
Document
SparQ goes above and beyond by crafting comprehensive documentation. It visually maps out data flow, meticulously documents data models for a clear understanding, captures transformation logic, and provides detailed usage documentation—ensuring seamless continuity in your analytics journey.
Rationalise
SparQ rationalises a master at refining processes, systematically identifying and marking redundant or obsolete elements for heightened efficiency. Its precision lies in meticulously validating overlaps, ensuring the elimination of meagre objects and optimising overall functionality with seamless integration.
Rebuild
SparQ excels in data reconstruction, adeptly recreating data as needed. It skillfully rebuilds data flow to align with new environments seamlessly. Additionally, SparQ is proficient in crafting or adapting SQL/Python code to ensure compatibility with Azure, and it excels in the automated creation of pipelines streamlining processes for optimal efficiency.
Migrate
SparQ plays a vital role in NLS data management. It facilitates the migration of Near-Line Storage (NLS) data, ensuring the safe transfer of historical data to Azure. This process is executed with precision to transfer real-time data seamlessly. Additionally, SparQ handles business logic migration, meticulously verifying its functionality to guarantee a smooth transition.
Enable
SparQ serves as the key enabler for your transition to Azure, unlocking the full potential of Azure's capabilities for elevated analytics and insights. It goes beyond the move by conducting thorough testing and integration to guarantee the integrity of your data, ensuring a seamless and robust experience in your new Azure environment.