About the Webinar:

ETL (Extract, Transform & Load) has been one of the daunting task on a big data platform such as Apache Hadoop and Spark. Most of the time developers will write tons of code to build data pipeline and job control flow. AWS has brought Glue ETL tool which makes ETL easier and graphically very attractive. One of the great feature of AWS Glue is 100% serverless and it does not require cluster provisioning and management. Behind the scene Glue uses launch Apache Spark cluster to process the data in the ETL flow. Moreover, cost is also based on pay per use.

Key Takeaways:

• Spend more time on data processing logic instead of writing job flow and data mapping
• Less headache of launching EMR Spark cluster
• Better error handling and job control
• Log management using Cloud watch

Who Should Attend:

• Chief Data Officer
• Director of Engineering
• Director of Analytics
• Data Architects, Systems Architects and Cloud Architects
• Data Engineers