| Sumario: | Strata is the largest data conference series in the world; the place where cutting-edge science and new business fundamentals intersect—and merge. This video compilation gives you total access to each of the 112 sessions, 19 tutorials, and 16 keynotes delivered at Strata London 2017. Broad and deep as the Thames itself, you'll hear presentations on stream processing and analytics, deep learning, big data and the Cloud, data-driven business management, and cybersecurity. You'll enjoy overviews of technologies and platforms like Microsoft’s Azure HDInsight, O'Reilly's Oriole, BMC's Control-M, Google's TensorFlow, AWS Lambda, Twitter's Heron, Intel's BigDL, as well as talks on almost every Apache ecosystem tool available today, including Arrow, Beam, Cassandra, Druid, Flink, Flume, HAWQ, Hive, Impala, Kafka, Kinetica, Kudu, MXNet, Presto, Spark, Spark ML, Spark Streaming, and Spark SQL. But Strata is more than topics and technologies, it's the people who speak: Big Data visionaries like Luke Han (CEO, Kyligence) on Apache Kylin use cases in China; Reynold Xin (Chief Architect, Databricks) on Spark's API and engine evolutions; Eric Tilenius (CEO, Blue Talon) on the EU's GDPR's potential for better data security; Duncan Ross (Director, TES Global) on doing good with big data; M. C. Srivas (Chief Data Architect, Uber) on the real-time intelligence that drives Uber; and Anthony Goldbloom (CEO, Kaggle) on lessons learned from the million(!) data scientists who participate in Kaggle's machine learning competitions. This compilation gives you a front row view to each of these speakers and to all of the 211 data leaders who spoke at Strata London 2017. Highlights include: Strata Business Summit — A set of 36 sessions specifically curated for the senior-level business executive and strategist, the Summit is the missing MBA for data-driven business. It includes clear-eyed guidance from Tim O'Reilly (Founder, O'Reilly Media) on the future of AI as a jobs generator; every Executive Briefing; five tutorials (an intro to data architecture's core principles, a how-to on developing a modern enterprise data strategy, and so on); sessions on data lakes, interactive visualizations, and natural language generation; overviews of Spark, Docker, Containers, and Notebooks; and a wealth of big data and reg tech case studies from Cox Automotive, EasyJet, Barclays, Santander, Transport for London, and more. Executive Briefings: six high-level overviews on data as the...
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