Explaination of current project architecture, Cloud services used in project and purpose of using them. Architecture of Spark,Hive

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Our project architecture uses Spark and Hive for data processing and storage respectively. We utilize AWS services such as S3, EMR, and Glue for scalability and cost-effectiveness.

Spark is used for distributed data processing and analysis
Hive is used for data warehousing and querying
AWS S3 is used for storing large amounts of data
AWS EMR is used for running Spark and Hive clusters
AWS Glue is used for ETL (Extract, Transform, Load) jobs
The purpose of using these services is to ensure scalability, cost-effectiveness, and efficient data processing and storage

Explaination of current project architecture, Cloud services used in project and purpose of using them. Architecture of Spark,Hive

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