Case Study: On-premise Hadoop (CDH) Migration and Transformation to a Modern Data Lake and ETL Stack on GCP using InsightLake Automation for a Leading Retail Company

Client: Leading Retail Company

Industry: Retail Solution

Provider: VerticalServe

Executive Summary:

The client, a leading retail company, was facing challenges with their on-premise Hadoop (CDH) setup, which involved various data sources, including batch (Oracle, Informix, DB2, MSSQL, MySQL), Realtime Kafka, and Azure Blob store. They needed to migrate and transform their existing system into a modern Data Lake and ETL stack on Google Cloud Platform (GCP) using InsightLake Automation. VerticalServe, a renowned consulting company, was engaged to execute this migration and transformation.

Challenges Faced by the Client:

1. Complex data integration: Managing data from multiple sources and formats was a significant challenge, leading to data silos and inefficiencies.
2. Limited scalability and flexibility: The on-premise Hadoop setup restricted the client’s ability to scale and adapt to the changing business requirements.
3. Ineffective data governance: The existing system lacked a robust data governance framework, resulting in data quality and compliance issues.
4. Outdated scheduling and processing tools: The client was using Automic for scheduling and Hive for processing, which were outdated and inefficient.
5. Inadequate testing and data validation: The existing workflow lacked proper testing and data validation mechanisms, impacting data quality and integrity.

Solution Implemented:

VerticalServe implemented a comprehensive solution to migrate and transform the client’s on-premise Hadoop setup into a modern Data Lake and ETL stack on GCP using InsightLake Automation. The following steps were taken:

1. Data migration and consolidation: Migrated and consolidated data from various sources, including batch (Oracle, Informix, DB2, MSSQL, MySQL), Realtime Kafka, and Azure Blob store, onto the GCP platform.
2. Conversion from Automic to Airflow scheduler: Replaced the outdated Automic scheduler with the modern Airflow scheduler to optimize workflow management.
3. Hive to Spark transformation: Migrated from Hive to Spark to enhance data processing capabilities and improve performance.
4. Implementation of data governance: Designed and implemented a robust data governance framework to ensure data quality, compliance, and security.
5. Automation of existing workflow conversion: Converted existing workflows to Airflow DAGs for GCP using InsightLake Automation, streamlining the overall ETL process.
6. Automation of testing and data validation: Implemented automated testing and data validation processes to ensure data quality and integrity.

Results Achieved:

1. Seamless data integration: The new Data Lake on GCP facilitated seamless integration of data from multiple sources and formats, eliminating data silos and improving overall efficiency.
2. Enhanced scalability and flexibility: The migration to GCP enabled the client to scale and adapt their data infrastructure to meet changing business requirements.
3. Robust data governance: The implemented data governance framework ensured data quality, compliance, and security.
4. Improved scheduling and processing: The transition from Automic to Airflow and Hive to Spark significantly improved workflow management and data processing performance.
5. Streamlined ETL workflows: InsightLake Automation enabled streamlined and efficient ETL workflows on GCP.
6. Improved testing and data validation: The automated testing and data validation processes ensured data quality and integrity, reducing errors and increasing trust in data-driven decision-making.

Conclusion:

VerticalServe’s migration and transformation of the leading retail company’s on-premise Hadoop setup to a modern Data Lake and ETL stack on GCP using InsightLake Automation revolutionized their data management capabilities. The new platform provided seamless data integration, enhanced scalability, robust data governance, and improved processing performance. The client now benefits from streamlined ETL workflows.

About:

VerticalServe Inc — Niche Cloud, Data & AI/ML Premier Consulting Company, Partnered with Google Cloud, Confluent, AWS, Azure…50+ Customers and many success stories..

Website: http://www.VerticalServe.com

Contact: contact@verticalserve.com

Successful Case Studies: http://verticalserve.com/success-stories.html

InsightLake Solutions: Our pre built solutions — http://www.InsightLake.com