Big Data Solutions
Big Data, Bigger Possibilities
Harness petabytes of structured and unstructured data to fuel decisions, predictions, and innovation at scale.
Volume, Velocity, Variety — and Value
- 📦Volume: We build for datasets that scale from terabytes to petabytes without performance degradation.
- ⚡️Velocity: Real-time stream processing or high-throughput batch — we handle data ingestion at any speed.
- 🌿Variety: From structured tables to JSON, video, audio, logs, IoT sensor data, and beyond.
- 💎Veracity & Value: We implement robust cleaning, enrichment, and governance to deliver data you can trust for critical decisions.
"Big data is only useful when it leads to better decisions. We make sure it does."
Full-Spectrum Big Data Engineering & Analytics
From building robust data foundations to deploying sophisticated analytics and ML models at scale.
Data Lake Architecture
Design and implement secure, cost-effective, and scalable data lakes using S3, GCS, Azure Data Lake, or on-prem Hadoop/HDFS.
ETL/ELT Pipelines
Build robust stream or batch ingestion pipelines using Kafka, Spark, dbt, Airflow, Flink, and Delta Lake technologies for reliability.
Machine Learning Integration
Embed ML pipelines directly into data workflows. Perform inference at scale with Spark MLlib, TensorFlow, PyTorch, or cloud ML services.
Analytical Dashboards & APIs
Expose processed data and key insights via interactive dashboards (Tableau, Superset, Looker) or secure data APIs.
Where We've Scaled Big Data with Big Impact
From optimizing media streams to detecting fraud in milliseconds, our solutions tackle diverse, high-scale challenges.
Media Streaming Analytics
Challenge:
High latency (10+ minutes) in processing real-time viewer engagement data, delaying content recommendations and ad targeting.
Solution:
Implemented a Kafka streaming pipeline feeding into Spark Structured Streaming for aggregation, stored results in S3 Data Lake.
Outcome:
Reduced insight latency to ~5 seconds; Improved user session personalization and ad revenue.
IoT Manufacturing Insights
Challenge:
Collecting billions of sensor logs daily across multiple plants with no effective system for real-time alerting on production anomalies.
Solution:
Centralized logs in Azure Data Lake Storage Gen2, used Azure Data Explorer (Kusto) for querying, and trained an ML model for anomaly detection.
Outcome:
90% faster production incident detection; Reduced material defects by 40% through proactive maintenance.
FinTech Transaction Scoring
Challenge:
Existing batch-based fraud detection system was too slow, leading to significant financial losses from fraudulent transactions.
Solution:
Developed a real-time stream processing pipeline using Apache Flink and integrated a vectorized ML model for transaction scoring.
Outcome:
Fraud detection lead time cut by 65%, enabling near real-time blocking of suspicious activities.
Battle-Tested Tools. Enterprise-Grade Architectures.
We leverage a curated set of best-in-class technologies to build robust and scalable big data platforms tailored to your needs.
Data Lakes & Storage
Stream Processing
Batch Pipelines & Orchestration
ML & Analytics Engines
Monitoring & Governance
We choose technology that fits your team's skills and business objectives, not just what's trending.
Your Data Is Valuable. We Treat It That Way.
Security, privacy, and robust governance are not afterthoughts — they are integral to every big data solution we build.
Data Governance
Implement schema versioning, data cataloging, lineage tracking, audit trails, and automated PII tagging for comprehensive control.
Compliance Ready
Architectures designed to meet stringent requirements like GDPR, HIPAA, CCPA, SOC2, and other industry-specific compliance mandates.
Fine-Grained Access Controls
Implement robust role-based access control (RBAC) with policies enforced at the column, row, dataset, and pipeline levels.
A Proven Path from Raw Logs to Real Results
Our end-to-end process ensures your big data initiatives deliver value, stay on track, and align with your business strategy.
Assess & Architect
Align on business goals, assess data sources, select appropriate tools, and plan infrastructure.
Ingest & Build
Connect data sources, build resilient pipelines (stream/batch), and implement scalable storage solutions.
Optimize & Automate
Tune performance, monitor data quality, establish governance checks, and implement auto-scaling.
Activate & Enable
Train teams, deliver dashboards/APIs, integrate ML models, and provide ongoing support.
We Don't Just Move Data — We Make It Work for You
Partnering with Cloud Amplify for your big data needs means gaining a strategic advantage, not just a technical solution.
- 🚀
Cloud-Native & Hybrid Expertise
Deep experience designing and managing big data systems on AWS, Azure, GCP, and hybrid environments.
- 📈
Scalable Pipelines for Growth
Architectures built to handle increasing data volumes and complexity as your business expands.
- 💡
AI-Ready Data Foundations
We structure data lakes and pipelines to seamlessly integrate with current and future machine learning initiatives.
- 🔧
Maintainable & Documented Code
Focus on clean, modular, and well-documented codebases for easier long-term maintenance.
- 🤝
Business & Engineering Alignment
We ensure technical solutions directly address and support your core business objectives from day one.
"They didn't just 'build a pipeline' — they built an engine for innovation that allowed us to leverage data in ways we hadn't imagined."
— Data Engineering Manager, Logistics SaaS
Let's Build a Data Engine for Your Future
Whether you're migrating from legacy SQL or drowning in log data, we'll turn your sprawl into signal. Let's architect the next layer of your data capability and unlock its true potential.