A leading bank modernised its Big Data operations and support model with a managed services approach, improving platform stability, job performance and incident response while reducing operational risk and reliance on scarce in‑house skills.

Customer background and challenge

A large bank was struggling to monitor and support its growing Big Data estate, including complex data pipelines and analytics workloads. The incumbent team did not have sufficient capacity or the specialised skills needed to provide 24×7 coverage across critical technologies, leading to slower incident resolution, performance issues and increased operational risk.

Objectives and scope

The bank needed a services provider to deliver:

• Level 1 (24×7) and Level 2 (8×5) support for its Big Data infrastructure and jobs
• Proactive monitoring and rapid issue resolution across data platforms and integrations
• A scalable operating model that could evolve with future cloud and on‑premises data architectures.



The scope covered application infrastructure, data jobs and monitoring processes across Cloudera, Kafka, Talend, SecuPi, Tableau, Linux, networking and Active Directory, as well as related approvals and ticketing workflows.

The Solution

Solvento’s consultancy delivered a structured Big Data support and optimisation engagement focused on rapid stabilisation and long‑term reliability. The services included:

• Deployment of a specialised Level 1 support team trained and experienced in application infrastructure and job monitoring across Linux, networking, Active Directory, Cloudera, Kafka, Talend, SecuPi and Tableau.


• A formal knowledge transfer program with incumbent staff, backed by strong leadership sponsorship, to capture platform knowledge and operational nuances.


• A detailed current‑state assessment of the Big Data environment, monitoring tools and operational processes, including approvals and ticketing flows.


• System stabilisation by tuning key platform parameters, optimising orchestration and scheduling of data jobs, and addressing high‑risk configuration issues.


• Consulting and advisory services on data security, zero‑code data anonymisation, Cloudera architecture (cloud and on‑premises) and software upgrade paths, collaborating with technology vendors to accelerate technical and licensing resolutions.



Achieved Business and Technical Outcomes

The engagement delivered measurable improvements in operational resilience and data platform performance.

• Improved monitoring and faster incident response through always‑on Level 1 coverage and structured Level 2 support.


• Reduced risk of outages and job failures via platform stabilisation, parameter optimisation and better job orchestration.


• Enhanced data security posture with a zero‑code anonymisation platform and tighter control across the Big Data security stack.



Increased agility for future transformation by defining potential architectures for cloud and on‑premises Cloudera deployments and aligning software upgrades with vendor best practice.