Strata Data Conference San Jose 2018


March 16, 2018

Name Product: Strata Data Conference San Jose 2018
Sale Page: _https://www.safaribooksonline.com/library/view/strata-data-conference/9781492025955

Value: $197
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Well make the Keynotes available here as soon as possible after they happen. Video of the sessions and tutorials will be available a few weeks after the

end of the conference.

Strata San Jose 2018 offered thousands of top data scientists, analysts, engineers, and executives from around North America and the world with an

opportunity to examine and absorb the best technologies and practices related to data engineering, architecture, machine learning, and AI. This video

compilation provides a complete recording of the conferences keynote speeches, tutorials, and sessions, including unfettered access to the exclusive Strata

Business Summit (the missing MBA for data-driven business) and its Executive Briefings on how to turn data and algorithms into business advantage.

Youll learn from featured speakers such as Google Brain Team leader Jeff Dean, Pinterest Senior VP for Engineering Li Fan, Cloudera CSO Mike Olson,

Streamlio Cofounder Karthik Ramasamy, Atlassian Data Science Head Jennifer Prendki, and Jetlore Director of Algorithms Dorna Bandari. Youll hear

keynotes from MapR Technologies Anoop Dawar, Amazons Alex Smola, OReilly Medias Ben Lorica, IBMs Dinesh Nirmal, and Clouderas Amr

Awadallah (Cloudera). And youll pick up real world wisdom from in the trenches of big data engineering and analysis practitioners at General Mills, Kaiser

Permanente, Ryanair, Procter & Gamble, BMW, Disney, ING, GE Digital, and more.

Need more reasons to buy this compilation? Take a look at the breadth of topics covered at Strata (listed below) and remember: you can view it all

(hundreds of speakers, 100+ hours of material) on your own schedule and at your own pace.

Data Engineering and Architecture: 50+ sessions led by senior data engineers at Cloudera, AWS, Streamlio, and Confluent, and others that help you

navigate the pitfalls of designing robust data pipelines, includes tutorials on building big data applications on AWS; time series data architecture; and using

Impala to fix performance issues.
Data Science and Machine Learning: 60+ sessions delivered by data scientists from Teradata, UC Berkeley RISE Lab, WeiRuan>WeiRuan, and more

on the technologies that discover the hidden insights in your data, includes tutorials on building PyTorch based recommender systems; using R and Python

for scalable data science, machine learning, and AI; and how to get started with TensorFlow.
Big Data and Data Science in the Cloud (30+ sessions), includes a tutorial on running data analytic workloads in the cloud; Streaming Systems and Real-

time Applications (20+ sessions), includes a tutorial on streaming applications as microservices using Kafka, Akka Streams, and Kafka Streams; and

Data-Driven Business Management (20+ sessions), includes a Booz Allen Hamilton talk on using machine intelligence to drive strategy.
Law, Ethics, and Governance (5+ sessions), includes a tutorial on how to prepare for the European Unions GDPR regulations; Visualization and User

Experience, includes a tutorial on how to create interactive visualizations of billions of datapoints with just 30 lines of Python code; Media, Entertainment,

and Advertising (5+ sessions) includes talks on ad tech, measurement, automation, and audience engagement; and Platform Security and Cybersecurity

(multiple sessions) includes practical solutions for protecting big data in containerized environments and on how to best debug a security data science system.

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