Our client is an American technology company specializing in cloud data services and management. Since 2012, they have been included in the Fortune 500 list of top businesses. They sought to enhance operational efficiency by modernizing their existing data and analytics platform. With a history of successfully completing similar programs for other global players, they turned to HCLTech as the right partner.
The Challenge
Breaking free from legacy platforms
Our client wanted to transform their technology landscape to stay updated with customer needs and improve operational efficiency. This included modernizing existing data and analytics platforms, streamlining the enterprise data warehouse hosted on the Oracle data warehouse (DW) platform and migrating the enterprise data warehouse (EDW) from Oracle to Snowflake cloud data warehouse on Azure. Additionally, they needed to implement end-to-end data flows for clients’ functional business units using a cloud-based analytics platform. This was accomplished using IBM DataStage and Pentaho as extract, transform and load (ETL) and Oracle business intelligence enterprise edition (OBIEE) as reporting. Furthermore, Informatica intelligent cloud services (IICS) was used for batch processing while high volume replicator (HVR) was utilized for real-time and change data capture (CDC) purposes.
The Objective
Staying ahead with technology transformation
Our aim was to transform our client's technology landscape to stay updated with customer needs and improve operational efficiency by modernizing existing data and analytics platforms and migrating data to new systems.
The Solution
Migrate the data to Snowflake platform on Azure cloud
HCLTech helped streamline our client’s data management processes and integrate intelligent capabilities. This was achieved through global adoption of Snowflake, a chosen data platform on Azure cloud, as well as enabling standardization and automation in legacy data platform migration to Snowflake. We also modernized multiple Oracle tables, HANA objects and ETL jobs to Snowflake cloud on Azure. Lastly, we enabled data visualization (DV) layer access for up and downstream consumption through views, multi-layer data security access/authorizations and provisioning of sandbox area for data science purposes.
The Impact
Modernized data to deliver modern solutions to customer
HCLTech equipped our client with state-of-the-art data and analytics capabilities alongside strategic cloud migration solutions, resulting in noteworthy outcomes:
- Implementation of Snowflake on Azure delivered an agile and scalable platform, tailored to meet dynamic business needs
- Legacy technologies were replaced with streamlined ETL processes, optimizing data processing efficiency
- Harnessing advanced analytics solutions enabled precise sales forecasting, empowering informed decision-making
