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Partner Webcast – Oracle Cloud Infrastructure Data Flow Service based on Apache Spark

Thanos Terentes Printzios
EMEA A&C Technology Adoption Manager

Apache Spark was launched decade ago as an open-source project at UC Berkeley. Today, the technology powers big data because of its ability to use cluster computing for data preparation and computational functions, allowing for powerful parallel processes that maximizes the ability to handle big data projects.

Recently, Oracle launched new Oracle Cloud Data Science Platform cloud services, with Apache Spark technology being leveraged, with no infrastructure to deploy or manage, helping customers running Spark applications easier and faster than ever before.

Oracle Data Flow OverviewOracle Cloud Infrastructure Data Flow is a fully managed service for running Apache Spark applications. It allows developers to focus on their applications and provides an easy runtime environment to execute them. It has an easy and simple user interface with API support for integration with applications and workflows. You do not need to spend any time on the underlying infrastructure, cluster provisioning, or software installation.

Join us on the Partner Webcast to understand how you can use OCI Data Flow service for your Apache Spark applications at enterprise level. 

Agenda

  • What is Apache Spark and Stream Analytics paradigm?
  • Oracle Data and Machine Learning Services
  • The new Oracle Cloud Infrastructure Data Flow Service
  • OCI Data Flow Tasks:
    • ETL Java applications for data transformation and cleaning
    • Spark SQL as a tool to collect data from different repositories such as Object Storage and etc
    • Machine Learning support for Spark stream analysis based on Python libraries (PhySpark)
  • Demo: Deploying Machine Learning with PySpark on OCI Data Flow Service
  • Summary - Q&A

Evgeny Pleskach
Oracle EMEA A&C Cloud Adoption & Implementation Consultant
Oracle EMEA Innovation and Modernization Center, Russia

Date: Thursday, July 16th, 10am CEST (9am BST/11am EEST)

Duration: 1 hour

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For any questions please contact us at partner.imc@beehiveonline.oracle.com

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