How to Improve Data Workload Flexibility While Lowering Cloud Data Lake Costs by Over 50%

Abstract: 

Join this session to explore Qubole and get answers to the big data, analytics, and machine learning questions that are important to you. You will learn how to:
1. Utilize Qubole for your data engineering, analytics and data science use cases
2. Increase efficiency by leveraging cloud technologies that match your workflows
3. Extract more value with Machine Learning and AI
4. Optimize Apache Spark, Presto, Hadoop/Hive, and Airflow usage
5. Drive down the costs of your big data workloads by 50%
6. Use Jupyter and/or Zeppelin Notebooks with Qubole

Bio: 

Arpan is a MS CS graduate and AWS Certified Solutions Architect with a strong background in software development. He has years’ of industry experience in Software Development, Cloud Engineering, DevOps and Machine Learning.

He is trained in the fundamentals of computer science, and loves to channel his determination and creativity to solve his customers’ challenging real-life problems.

Open Data Science

 

 

 

Open Data Science
One Broadway
Cambridge, MA 02142
info@odsc.com

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