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case-studies
Big Data Platform
Approach and methodology
To tackle these challenges, we designed a Big Data Platform with a modern architecture based on cloud computing technologies such as Apache Spark and Microsoft Azure Synapse. The platform features a real-time stream processing system and ETL pipelines to collect data from various sources, transform it, and load it into a data warehouse or data lake
Staff involved in the project
8
Specialists
Execution time
3
Years
Technologies used
- Anche Spark
- Apache Kafka
- Azure Synapse
- Databricks
- Organic ESB
- Purview