In this webinar, Jueun Hwang explored the the differences between SAP Big Data platforms and cloud platforms (including AWS, Microsoft Azure and GCP) to deliver Big Data analytics.
She discussed the pros and cons of each platform, factors to consider before making architectural decisions, and best practices in implementation.
She also discuss the integration of Big Data and cloud platforms with SAP tools to deliver timely, flexible, self-service analytics.
Watch this webinar replay and learn:
- Overview of on-premise and cloud Big Data platforms
- Capabilities of SAP VORA as part of a Big Data solutions
- Integration of Big Data platforms with SAP analytics:
- SAP BW, SAP HANA, SAP BOBJ
- Leveraging Big Data platforms for business use cases
- Best practices in implementing Big Data analytics
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About the presenter:
Jueun Hwang is a very resourceful Data Scientist. She is highly proficient both in the use of data mining/analytic tools (Jupyter Notebook, Apache Zeppelin, and R Studio), and on the Dev/Ops side (setting up AWS/Azure, configuring connections, tuning, Big Data lake scenarios, and more). A frequent contributor to Visual BI's blog, she holds Masters of Science in both Petroleum Engineering and Data Science/Analytics from the University of Oklahoma.
About Visual BI
Visual BI is a niche Business Intelligence & Analytics provider headquartered in Plano, TX. The firm has received various industry recognitions including Best Place To Work For In Texas - 2016, Top 50 in Deloitte Technology Fast 500 - 2015, #151 in the Inc-5000 list of fastest growing private firms in the US and CIOReview Top 100 Big Data Companies in the US. Visual BI is an SAP Partner.
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