Big data's most influential business decision makers, strategists, architects, developers, and analysts gathered together at the Strata + Hadoop NY 2016 conference to discuss and explore the cutting-edge issues around the processes of rapidly acquiring, processing, preparing, storing, and analyzing data on a massive scale. This video compilation gives you complete access to all of the conference’s tutorials, sessions, and keynotes— more than 200 events in total.
A short list of the technologies you’ll learn about include Apache Hadoop, Spark, Hive, Beam, Impala, Solr, Kudu, Mesos, Zeppelin, Akka, Cassandra, Myriad, Kafka, Apex, Druid, Python, R, graph databases, data lakes, the Trusted Analytics platform, YARN, Spark Streaming, JupyterLab, holographic data visualizations, and event-based microservices applications. Who were the speakers? Just a few of the more than 290 experts who presented include luminaries such as Google’s Tyler Akidau, Confluent’s Neha Narkhede, June Andrews from Pinterest, Kurt Brown from Netflix, Jill Lepore from Harvard, and IBM’s Raj Krishnamurthy. And like every Strata + Hadoop event, the core of the conference are the multi-hour tutorials. Thought-provoking and intense, tutorials include: A half-day practical guide to securing Hadoop clusters led by principals at Cloudera; Data 101, an overview of the core principles of data architecture from experts at Silicon Valley Data Science, EMC, and Metis; Spark Camp, eight hours of instruction on DataFrames, Spark SQL, GraphX, and Spark streaming; and eight hours on Big Data issues in the financial industry with case studies from Morgan Stanley, Goldman Sachs, Credit Suisse, and Sand Hill Econometrics.
With sessions for the Big Data beginner, the intermediate and the pro, the business executive from the C-suite and the high-level academic, Hadoop + Strata NY 2016 is the proverbial big tent with something smart for everyone.