ABR Cloud Migration - Unlocking Scalable Data Solutions with GCP

Discover how ABRAMSBOOKS successfully migrated its sales data from legacy systems to Google Cloud Platform (GCP) and enhanced reporting with Power BI. This case study showcases a step-by-step approach to modernizing data architecture, improving performance, and enabling a data-driven culture.

Project Overview

The migration process included ingesting, transforming, and storing data. The workflow was divided into three main layers: Data Ingestion Layer (DIL), Data Transformation Layer (DTL), and Business Intelligence Layer (BIL).

Key Highlights:

Technology Stack: GCP Data Fusion, Data Prep, Big Query, Cloud Functions, Power BI, Python.
Optimization: Photon-enabled jobs reduced runtimes; SQL-based transformations replaced complex wrangler transformations.
Automation: Inbound triggers and hierarchical run plans automated data pipelines for seamless execution.
Validation: Comprehensive checks (row counts, column formats, sums) automated with dynamic views and stored procedures in Big Query.
Results: Reduced cluster runtimes, delivered daily reports in Power BI, and built a scalable architecture with potential for advanced analytics integration.

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About Us

Primotech is a leading global IT solutions company specializing in AI/ML, Data Engineering, Full Stack Development, DevOps, Cloud Services, and more. We deliver cutting-edge software solutions to enterprises, startups, and SMBs, leveraging agile methodologies and deep technical expertise to drive innovation and business growth.