Case Study - TM Data Lake

As part of its national MYGovServ 2.0 initiative, Telekom Malaysia commissioned us to develop a centralized enterprise-grade Data Lake platform. The goal was to enable slicing, management, and near real-time ingestion of vast volumes of structured and unstructured data originating from 15,000 government sites across Malaysia and globally.

Client
Telekom Malaysia (TM)
Year
Service
Tech

Goals

As part of its national MYGovServ 2.0 initiative, Telekom Malaysia commissioned us to develop a centralized enterprise-grade Data Lake platform. The goal was to enable slicing, management, and near real-time ingestion of vast volumes of structured and unstructured data originating from 15,000 government sites across Malaysia and globally.

This platform would serve as a foundation for big data analytics, helping TM to unlock insights, improve decision-making, and pave the way for future adoption of machine learning and AI-driven operations — while integrating seamlessly into the existing MYGovServ 2.0 infrastructure.

Insights

Data across the MYGovServ environment was scattered across various systems — including BSS, OSS, billing, monitoring, ticketing, and assurance tools — with no centralized platform to consolidate, store, and analyze it. TM required a solution capable of handling high-velocity data streams, complex ETL operations, and real-time analytics, all deployed on a Hyperconverged Infrastructure (HCI).

At the time, there was no existing platform to serve this function — making the development of a purpose-built Data Lake both urgent and critical to the platform's evolution.

Approach & Solutions

We architected and delivered a high-throughput Data Lake platform, capable of ingesting, storing, transforming, and analyzing data from thousands of sources — amounting to over 5 million records per minute, 3 TB of raw data monthly consisting about 135 Billion records.

Built on a containerized Kubernetes architecture, the solution supports:

  • Near real-time data ingestion pipelines
  • ETL workflows tailored to MYGovServ's heterogeneous data landscape
  • Custom dashboard reporting for traffic and security insights
  • Workflow orchestration tools to manage dependencies and automate scheduled jobs
  • Monitoring and observability tools to track system health, ingestion rates, storage usage, and resource allocation
  • Full administrative control for TM to monitor, configure, and scale compute, storage, and security settings
  • The system was designed not only to meet today's operational needs but to future-proof TM's infrastructure — setting the stage for advanced analytics and AI/ML model deployment across the public sector.

Results

TM now operates a fully integrated, enterprise-scale Data Lake platform that empowers MYGovServ with real-time visibility into network, infrastructure, and application operations across 15,000+ government sites. The solution enables data-driven strategy from siloed and reactive to centralized and predictive.

By consolidating high-volume data into a unified platform, TM has laid the groundwork for data-driven governance, national-level operational intelligence, and AI adoption — positioning Telekom Malaysia and MYGovServ as the backbone of Malaysia's digital transformation.

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Engagements
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Impressions
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Clicks to Website
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