O'Reilly Strata Data Conference 2019 - New York, New York

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Course Features

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Duration

152.38 hours

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Delivery Method

Online

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Available on

Limited Access

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Accessibility

Desktop, Laptop

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Language

English

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Subtitles

English

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Level

Intermediate

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Teaching Type

Self Paced

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Video Content

152.38 hours

Course Description

The 2019 Strata Data Summit in New York City was a major success, bringing together thousands of data professionals from around the world to offer guidance on making data projects and strategies work. This collection includes the best keynotes and tutorials from the summit, covering topics such as choosing the right data infrastructure and architecture, reducing costs, scaling data analysis, and using text mining and large-scale anomaly detection to uncover hidden insights in data. The compilation also features talks from the Strata Business Summit, providing an exclusive look at the technologies and processes used by successful companies to develop their data strategies. Overall, this collection offers hours of information that can be studied and absorbed at your own pace for those seeking the best data technologies and techniques to succeed.

Course Overview

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Virtual Labs

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International Faculty

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Post Course Interactions

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Hands-On Training,Instructor-Moderated Discussions

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Case Studies, Captstone Projects

Skills You Will Gain

What You Will Learn

A front row seat at 2019's Strata Data Conference NYC best keynotes, tutorials, and technical sessions—contains hundreds of hours of material to study and absorb at your own pace

Data Engineering and Architecture sessions, including Navinder Pal Singh Brar (Walmart Labs) on building multitenant data processing and model inferencing platforms with Kafka Streams; Paige Roberts (Vertica) on the whys and hows of putting large stateful

Data Science, ML, & AI sessions, including John Allen on how Deutsche Bank uses AI and ML to drive revenues; Anirudh Koul (Microsoft) on how to bring deep learning to smart-phones; Moty Fania’s description of Intel’s AI driven sales cycle support plat

Deep dive tutorials including Jules Damji's (Databricks) sold out session on managing the complete ML lifecycle with MLflow; Karthik Ramasamy's (Streamlio) review of serverless streaming architectures and algorithms for the enterprise; and Mark Donsky (Ok

Dozens of sessions on Data Law and Ethics, Security and Privacy, Automation in Data Science and Data, Business Analytics and Visualization, Streaming and IoT, and Data Culture and Organization

FinData Day - Sessions detailing how Wells Fargo ECS, Capital One, TBC Bank, Tokyo Century USA, and other financial industry leaders use data to analyze risk, detect fraud, predict payments and improve customer experience

Keynote speeches from Big Data's most inspiring business visionaries, such as Sara Menker (CEO, Gro Intelligence), Cassie Kozyrkov (Chief Decision Scientist, Google Cloud), Swatee Singh (VP Big Data/ML, American Express), and Robert D Thomas (GM, IBM Data

Unrestricted access to all of the exclusive Business Summit's Executive Briefings, technical sessions, and tutorials where data experts like Ross Schalmo (GE Aviation), Andrew Reiskind (Mastercard), Alex Beutel (Google Brain), Susan Israel (Loeb & Loe

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