WEBINAR: Scaling Big Data Pipelines in Apache Spark, No Coding Required - 15 November 2018

Various companies across multiple industries collect and house vast amounts of data. However, most face the same challenge: the ability to process big data and quickly find insight within its framework. Introducing KnowledgeSTUDIO with Apache Spark, the ultimate solution for both data scientists and data analysts. The graphical user interface with Big Data capabilities allows organizations to build pipelines seamlessly. Topic: Scaling Big Data Pipelines in Apache Spark, No Coding Required Date: Thursday, November 15, 2018 Time: 2 p.m. ET/11 a.m. PT Datawatch Speakers: Dr. Steve Walker, Sr. Data Scientist and Mike Rowley, Product Director   Join us and learn how users of KnowledgeSTUDIO for Apache Spark, a wizard-driven productivity tool for building Spark workflows, have overcome these challenges. Learn how data science teams can:  Utilise interactive workflows with an automated design canvas for building, displaying, refreshing, and reusing analytic models   Automatically generate code that can be customised and incorporated into production scripts   Include manually written code within the graphical workflow   Leverage advanced modelling with open source packages such as Spark ML, Spark SQL   Avoid overhead costs of parallelisation when datasets are very small   Build, explore data segments, and discover relationships using patented Decision Tree technology REGISTER NOW