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Data Lake Migration for Logistics Analytics
Project Overview
Challenge
A US-based logistics company managing thousands of food warehousing and distribution operations faced growing data challenges including fragmented data across MSSQL, Oracle, MySQL, and flat files, inconsistent reporting and batch delays, no centralized warehouse for advanced analytics, and high operational costs tied to legacy infrastructure. They needed a high-availability data lake built on Hadoop that could serve real-time and batch use cases with scale and resilience.
Our Solution
We built a highly available Cloudera-based data platform with automated ingestion and disaster recovery.
Data Migration & Ingestion
Replicated 1,350+ tables into HDFS. Used Sqoop, Kafka, and Spark for incremental and bulk ingestion. Implemented Type-2 tables to support point-in-time tracking.
Workflow Orchestration & Automation
Used Apache NiFi and Airflow for job scheduling. Developed a reusable workflow framework for multi-source ingestion. Scheduled incremental loads with change-data-capture logic.
Governance & Backup
Designed disaster recovery with BDR (Backup and Disaster Recovery) on HDFS. Automated backup snapshots and job restart logic. Applied role-based access and masking where needed.
Performance Optimization
Built a HA (High Availability) framework to distribute queries across nodes. Enabled workload balancing and job parallelism via Spark tuning. Migrated legacy logic into Spark transformations and reusable Hive UDFs.
Results
Consolidated Multi-Source Data Platform
Successfully consolidated fragmented data from multiple sources into a single high-performance Hadoop-based data lake platform.
Improved Data Freshness and Stability
Enhanced data freshness and stability for analytics through automated ingestion and high-availability architecture.
65% Reduction in Report Generation Time
Dramatically reduced report generation time through optimized Spark transformations and distributed query processing.
Real-Time Warehousing Performance Tracking
Enabled real-time performance tracking across thousands of warehousing and distribution locations for operational insights.
What Our Client Says
This platform gave us clarity, continuity, and confidence — across operations, finance, and forecasting.