Data is the foundation that powers enterprise and automation
The foundation of an equitable cloud enterprise is a robust data ecosystem. It requires continuous improvement in scale, stability and streamlining. Data processing engines must consistently & reliably power everything from simple analytics to autonomous AI engines.
Data Management
Delivering value from data requires real-time strategising, technology selection, designing, consolidation and enhancements. Then there is the running of data collection, processing, ETL/ELT, queuing, DBs data lake, analytical data storage and observability.
Stackr upgrades and manages your data structures, compliances and integrations. Being technology-agnostic, we partner with CSP software providers to bring state-of-the-art technology capabilities to you quickly.
We believe that the focus needs to be on improving the quality first and then move towards higher AI/Analytics Value.
Our ultimate goal is to
continuously improve the
base data system in terms
of scale, stability and
streamlining.
Data Modernisation
From legacy systems, fragmented technologies, localised data to bleeding edge next generation data platforms.
migration to public cloud data platforms
legacy modernisation (private cloud or containerisation)
data store modernisation
data integration
data ops enablement
data lake/ data store transformation
Data Ops - Data supply chain as a service
pipeline management / automation
data compliance, quality governance and security
pipeline orchestration
data observability and data reliability
job management and automation
data storage and tiering
Data Security
Reduce risk with easy backup and continuous data replication
Seamless production continuity as the offsite copies are taken from the replicated data, not production, ensuring no backup windows or snapshots are ever run against production.
We ensure consistency when creating recovery points for all VMs within the infrastructure.
Plug and play data services
E2E analytical/AI solution deployment
data integration design, build and manage
BI reporting and insight management
dataops advise, build and enablement (technology and processes)
models advise, build and enablement (technology)
advance analytics and AI
