Canada
Puerto Rico
USA
Belgium
France
UK
India
Client Background
The client is an Arkansas-based international leader in the food industry
Client Need
The client faced challenges with an outdated data warehouse lacking real-time analytics on marketing data, limiting timely insights.
A fragmented data landscape prevented the client from obtaining a unified view of customer data
Sought a modern EDM system to seamlessly integrate with existing enterprise applications and minimize the effort required for data migration and processing
Solution
We implemented a comprehensive solution to address these challenges:
Scalable Data Foundation: Analyzed various data sources and targets and designed and implemented a suitable Hadoop architecture
Near Real-Time Data Ingestion: Designed a near real-time ingestion system using Attunity and Kafka, facilitating real-time batch processing
Built a High-Performance Data Warehouse: Designed a data warehouse on Hive and HBase, optimizing transactional data processing and improving data accessibility for analytical purposes
Automated Data Transformation: Used the Talend ETL tool to design and develop Spark Streaming and batch jobs, improving data processing efficiency
Enhanced Reporting: Designed OLAP cubes for reporting, providing advanced analytical capabilities
Realized Benefits
The solution yielded significant benefits:
Synchronized production rate with order rate, enabling faster and more informed decisions for sales, pricing, product, and manufacturing teams
Delivered real-time operational visibility
Facilitated quicker and more informed decisions
Reduced data integration costs
Offered scalable architecture
Enabled drilling across cubes/data subjects in pre-defined and ad-hoc ways
Provided managers with a comprehensive view of integrated data through Attunity replication into Kafka streams
Tools & Technologies
Hadoop
Talend
SAP Hana
Kafta
Hortonworks
Hive
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