When I first entered the world of Big Data as an engineer, I didn’t realize what an enormous technological challenges I will be facing. As time went by, despite my experience, I’m still struggling to keep up with new technologies, frameworks and architectures. Consequently, I created this meetup, detailing all the challenges of Big Data, especially in a cloud environment . I am using AWS, GCP and Data Center infrastructure to answer the technical questions of anyone navigating their way in the big data world. In this meetup we will try to answer questions regarding: big data best practice, data science, data engineering, BI, how to manage costs, performance tips, security tips and Cloud best practices. We shall present lecturers working on several cloud vendors, various technologies and frameworks, and startups working on data products. Basically - if it is related to data - this is THE meetup. Some of our online materials (mixed content from several cloud vendor): Website: You tube channels: Audience: Data Engineers Data Science DevOps Engineers Big Data Architects Solution Architects CTO VP R&D
When I first entered the world of Big Data as an engineer, I didn’t realize what an enormous technological challenges I will be facing. As time went by, despite my experience, I’m still struggling to keep up with new technologies, frameworks and architectures. Consequently, I created this meetup, detailing all the challenges of Big Data, especially in a cloud environment . I am using AWS, GCP and Data Center infrastructure to answer the technical questions of anyone navigating their way in the big data world. In this meetup we will try to answer questions regarding: big data best practice, data science, data engineering, BI, how to manage costs, performance tips, security tips and Cloud best practices. We shall present lecturers working on several cloud vendors, various technologies and frameworks, and startups working on data products. Basically - if it is related to data - this is THE meetup. Some of our online materials (mixed content from several cloud vendor): Website: You tube channels: Audience: Data Engineers Data Science DevOps Engineers Big Data Architects Solution Architects CTO VP R&D
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