Strata Data Conference 2019 - London, United Kingdom
MP4 | Video: AVC 1280x720 | Audio: AAC 44KHz 2ch | Duration: 2 Hours 49M | 5.23 GB
Genre: eLearning | Language: English

We'll make the Keynotes available here as soon as possible after they happen. Video of the sessions andtutorials will be available a few weeks after the end of the conference.

It contains keynote speeches from data visionaries such as Shingai Manjengwa (CEO, Fireside AnalyticsInc.

We'll make the Keynotes available here as soon as possible after they happen. Video of the sessions andtutorials will be available a few weeks after the end of the conference.
The Strata Data Conference, the world's largest gathering of the data community, came to London fromApril 29th to May 2nd, 2019. Many of Big Data's best practitioners, strategists, anddecision makers spoke, providing expert guidance on the skills, technologies, and processes required tobuild successful data-driven projects and organizations. This video compilation gives you a front rowview of the best keynotes, tutorials, and technical sessions delivered at the conference.
It contains keynote speeches from data visionaries such as Shingai Manjengwa (CEO, Fireside AnalyticsInc.), Michael Tidmarsh (CTO, Ogilvy), Cassie Kozyrkov (Chief Decision Scientist, Google), David Boyle(Customer Insights Director, Harrods), Cait O'Riordan (CIO, Financial Times), Sandra Wachter (Universityof Oxford), and from historian and futurist James Burke. It includes Sandeep Uttamchandani's (Intuit)talk on the three patterns to best manage data dictionaries; Simona Meriam's (Nielsen) review of thebest techniques to manage Spark-Kafka consumer offsets in a relational database; Guoqiong Song's(Intel) talk on LSTM-based time series anomaly detection using Analytics Zoo for Spark and BigDL; WolffDobson's (Google) update on TensorFlow's best practices; and a host of other talks covering the latest indata engineering and architecture; data science, machine learning and AI; data law and ethics; datastreaming and Iot; and data visualization and UX.

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