Jorge A. Lopez works in big data solutions at Amazon Web Services. Jorge has more than 15 years of business intelligence and DI experience. He enjoys intelligent design and engaging storytelling and is passionate about data, music, and nature.
Nikki Rouda is a principal product marketing manager at Amazon Web Services (AWS). Nikki has decades of experience leading enterprise big data, analytics, and data center infrastructure initiatives. Previously, he held senior positions at Cloudera, Enterprise Strategy Group (ESG), Riverbed, NetApp, Veritas, and UK-based Alertme.com (an early consumer IoT startup). Nikki holds an MBA from Cambridge’s Judge Business School and an ScB in geophysics from Brown University.
Damon Cortesi is a big data architect at Amazon Web Services, where he helps customers build and deploy data platforms. He spends most of his time exploring the depths of Apache codebases and making data and analytics more accessible. Previously, he was cofounder and CTO of a social analytics startup, where he built the initial data gathering and report generation pipelines and grew the team to over 100 people.
Sven Hansen is a solution architect at AWS focused on helping customers in the financial services domain solve technical and business challenges. He has extensive work experience supporting large enterprises across both sub-Saharan Africa and Europe in areas relating to security, networking and analytics technologies. He holds an MBA from the Heriot-Watt Business School in Edinburgh. He’s also an avid musician and would like to spend more time playing guitar and bass.
Manos Samatas is a solutions architect at Amazon Web Services.
Alket Memushaj is a solutions architect at AWS.
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Comments
Hi, I attended this workshop and I’ve just noticed that, despite successfully deleting the cloudformation stack that was used, I still had a SageMaker model/endpoint running at a cost of $7.24 per day sine the workshop. I’ve just deleted it, and I suggest everyone else who was there double checks to see if they have one left behind too.
I’d be interested in how serverless can integrate with RDS.
Hi Ivan, thanks for your message. The training will certainly cover streaming data within the context of serverless architectures. For streaming data specifically, we will drill down on Amazon Kinesis. We will also cover other tools for querying and analyzing data within a decoupled, serverless architecture. Hope this answers your question.
Hi, I was wondering about details of this training – is it going more to be about how you can create serverless data pipeline in streaming fashion – meaning ingesting events in near-to-real time manner and storing them in different storage/database types for further analysis, or more about how you can use serverless AWS services to create fast responsive applications with microservices, or maybe both of that?