Multi-Cloud Data Processing
Automate data processing across on premise, cloud, multi cloud & hybrid environments
Hybrid Data Processing is a consistent challenge for most organisations. As enterprises adopt cloud at scale across multiply environments, they soon realise they must now manage the native data processing services of each cloud vendor adding complexity and risk. BDM is a data processing layer that sits across all your environments giving you a single standard processing capability that you control.
How could you increase your data team capabilities with automation?
Manage data pipeline portability independently
Easily port your data and pipelines across multiple infrastructure and storage options.
Have freedom from vendor lock-in
Taking back control of your processing reduces the risk of lock-in.
Visualise the end-to-end process
Full visualisation of all data activities
Automate with built-in traceability & lineage
Prebuilt data traceability, tagging and lineage reporting capabilities for data policy adherence
Process standardisation & control
Apply transparency and control to your data processing activities with full lineage promoting data trust
How to deal with the most common data engineering challenges.
Automated Data Operations,
Orchestration & Scheduling Platform
Put the control, management, and portability back in the hands of your Data Operations team with Bluemetrix Data Processing Platform: BDM Ingest and BDM Control.
Data Manager Control
Ingestion
Validation
Masking
Tokenization
Meta-Data/Governance
Schema Evolution
Transformations
Scheduler
Active Directory
Hybrid Data Processing Platform using BDM
BDM sits on your spark cluster as a processing and data control gateway enabling autonomous processing regardless of storage and infrastructure either on prem, cloud, multi cloud or hybrid.
Our approach provides a single view of processing activities across all environments regardless of location or infrastructure.
"Choosing BDM as our core data processing engine has not only increased our data governance and trust capabilities but also reduced data operations costs by 70%."
-Head of Data Engineering, Major European Bank
