Must-See Guide For Big Data Warehousing  #OOW18 Must-See Guide For Big Data Warehousing  #OOW18

Must-See Guide For Big Data Warehousing #OOW18

Publisher Description

Welcome to the big data warehousing Must-See guide for OpenWorld 2018. This guide covers everything you need to know about this year's Oracle OpenWorld conference so that when you arrive at Moscone Conference Center you are ready to get the most out of this amazing conference.


This guide contains the following information:


Chapter 2 An overview of the recent announcements for Autonomous Database. This is going to be the HOT TOPIC at this year’s OpenWorld. Come prepared and ready to learn even more!



Chapter 3 Full list of Oracle Product Management and Development presenters who will be at this year’s OpenWorld. Links to all their social media sites are included alongside each profile. Read on to find out about the key people who can help you and your teams build the FUTURE using Oracle’s Data Warehouse and Big Data technologies.



Chapter 4 List of the “must-see” sessions at this year’s OpenWorld by category. It includes all the sessions and hands-on labs by the Oracle Product Management and Development teams along with key customer sessions. Read on for the list of the best, most innovative sessions at Oracle OpenWorld 2018.


Chapter 5 Details of all the links you need to keep up to date on Oracle’s strategy and products for autonomous Big Data Warehousing in the cloud. This covers all our websites, blogs and social media pages.



Chapter 6 Details of our exclusive web application for smartphones and tablets provides you with a complete guide to everything related to big data warehousing at OpenWorld 2018.

  • GENRE
    Computers & Internet
    RELEASED
    2018
    August 7
    LANGUAGE
    EN
    English
    LENGTH
    114
    Pages
    PUBLISHER
    Keith Laker
    SELLER
    Gerard Laker
    SIZE
    542.8
    MB

    More Books Like This

    The Complete Review Of Data Warehousing and Big Data From OpenWorld 2018 The Complete Review Of Data Warehousing and Big Data From OpenWorld 2018
    2018
    Review of Data Warehousing and Big Data At #OOW16 Review of Data Warehousing and Big Data At #OOW16
    2016
    Big Data Warehousing Review of Oracle OpenWorld 2017 Big Data Warehousing Review of Oracle OpenWorld 2017
    2017
    Oracle Essentials Oracle Essentials
    2007
    DBA's Guide to NoSQL DBA's Guide to NoSQL
    2014
    Introducing Microsoft SQL Server 2014 Introducing Microsoft SQL Server 2014
    2014

    More Books by Keith Laker

    Complete Guide to SQL Pattern Matching - Volume 1 Complete Guide to SQL Pattern Matching - Volume 1
    2017
    Data Warehousing and Big Data #OOW16 Data Warehousing and Big Data #OOW16
    2016
    The Complete Review Of Data Warehousing and Big Data From OpenWorld 2018 The Complete Review Of Data Warehousing and Big Data From OpenWorld 2018
    2018
    Big Data Warehousing Review of Oracle OpenWorld 2017 Big Data Warehousing Review of Oracle OpenWorld 2017
    2017
    Day-by-Day Guide for Big Data Warehousing  #OOW18 Day-by-Day Guide for Big Data Warehousing  #OOW18
    2018
    Big Data Warehousing Must See Guide for Oracle OpenWorld 2017 Big Data Warehousing Must See Guide for Oracle OpenWorld 2017
    2017

    Customers Also Bought

    Failure to Launch: From Big Data to Big Decisions Failure to Launch: From Big Data to Big Decisions
    2014
    IBM Spectrum Scale: Big Data and Analytics  Solution Brief IBM Spectrum Scale: Big Data and Analytics  Solution Brief
    2019
    INFORMATION OVERLOAD: Capitalizing on Big Data INFORMATION OVERLOAD: Capitalizing on Big Data
    2013
    IBM Software Defined Infrastructure for Big Data Analytics Workloads IBM Software Defined Infrastructure for Big Data Analytics Workloads
    2015
    Big Data in Context Big Data in Context
    2017
    IBM Data Engine for Hadoop and Spark IBM Data Engine for Hadoop and Spark
    2016