Category: Hadoop

Integrating AWS Glue with Amazon Redshift for a Sports Events Management Company

March 30, 2023 Kishore Analytics Strategy, Apache Spark, AWS, AWS S3, Blog, Cloud, CXO, Data & Analytics, Data and Analytics Strategy, Digital Transformation, EA - Key Terms, Enterprise Architecture, Hadoop, IT Transformation

Integrating AWS Glue with Amazon Redshift can significantly enhance the data processing capabilities of a sports events management company. This integration allows you to efficiently extract, transform, and load (ETL) data into Redshift for advanced

Real-Time ETL: Preventing Concurrent PySpark ETL Jobs with Django and Redis Cache

March 2, 2023 Kishore Apache Spark, AWS, Cloud, Data & Analytics, Enterprise Architecture, Hadoop, Uncategorized

Picture this Data Engineering Context: Just like me, as an Enterprise Data Architect, you are at the heart of a bustling data engineering project that requires orchestrating data flow between on-premise agents collecting the data

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Category: Hadoop

Integrating AWS Glue with Amazon Redshift for a Sports Events Management Company

Real-Time ETL: Preventing Concurrent PySpark ETL Jobs with Django and Redis Cache

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