Below are details of the latest courses released on OU for Big Data:
Introduction to Big Data - In this course, you are introduced to Big Data and Oracle's Big Data solution. Topics covered are Oracle Big Data Appliance and Oracle Big Data Connectors. As you progress through the course, the various phases of Big Data are covered. Using a case study, the phases of acquiring, organizing, and analyzing are discussed.You can find more information by clicking here: http://education.oracle.com/pls/web_prod-plq-dad/db_pages.getCourseDesc?dc=D75058GC10
Introduction to Oracle NoSQL Database - In this course, students will identify the key features, benefits, and use cases of the Oracle NoSQL Database. They will be able to explain the concepts and terms related to NoSQL. They will identify the key considerations, which they should keep in mind, while designing a schema and an application for an Oracle NoSQL Database. You can find more information by clicking here: http://education.oracle.com/pls/web_prod-plq-dad/db_pages.getCourseDesc?dc=D75056GC10
We are working really hard to add some important new courses to meet the growing demand we seeing from customers and partners who are eager to learn about our big data technology. Coming soon we will be adding new training content on:
Oracle NoSQL Database for Administrators and Developers
Oracle Loader for Hadoop
Using Oracle Data Integrator for Hadoop
Using Oracle R Enterprise
As soon as these courses are ready I will let you know.
In the meantime, enjoy the just released courses on introductions to Big Data and NoSQL DB
The COMPLETE guide for OpenWorld provides a comprehensive day-by-day list of all the most important sessions and hands-on labs for Oracle's data warehouse and big technologies: Oracle Database 12c Release 2, Oracle Cloud, engineered systems, partitioning, parallel execution, Oracle Optimizer, analytic SQL, analytic views, in-memory, spatial, graph, data mining, multitenant, Big Data SQL, NoSQL Database and industry data models.
The COMPLETEguide covers the following areas:
Key highlights from last year's conference
List of Data Warehouse and Big Data presentersDay-by-Day schedule for must-see sessions and labs
Details of this year's Appreciation Event
Links to DW and Big Data product web pages, blogs, social media sites
Information about our #oow16 smartphone app
Maps to help you find your way around Moscone
The Complete Guide to Data Warehousing and Big Data at OpenWorld is available in both Apple iBooks and PDF formats. The PDF format will work on any smartphone, tabl…
It’s almost time for OpenWorld. Only three weeks to go! With so much to see and learn at Oracle OpenWorld we are doing our best to make sure that everyone get the most from this year’s conference. Therefore, to help you get prepared and organized we have created a series of online calendars which list all the must-see data warehousing and big data sessions, labs and key events.
Just look at the agenda below - we have packed this year’s schedule with the very best must-see sessions and must-attend labs by Oracle product managers and key customers.
The above agenda is built using Google Calendar and is available for use with other calendar applications that allow you to subscribe to online calendars. To make the process as easy as possible we have created a range of calendars mapped to specific areas of interest such as: cloud, data warehousing, analytics, big data and unstructured data. The following links can be used to access our OpenWorld calendars via your own calendar applicatio…
Attend my top must-attend sessions and hands-on labs for Thursday. You can add them to your personal agenda with there "My Schedule” schedule feature on the OpenWorld content catalog. Enjoy #oow16, today is the last day and it's going to be awesome.
Data WarehousingAnalyticsUnstructured DataBig Data 8:00AM - 9:00AMLAB: Use Oracle Big Data SQL to Analyze Data Across Oracle Database, Hadoop, and NoSQLHotel Nikko—Bay View (25th Floor) Martin Gubar, Director of Product Management, Oracle
Keith Laker, Senior Principal Product Managerm Oracle
Organizations are expanding their data management platform including data stores based on Hadoop technologies and NoSQL databases. These data sources may contain new types of data that were not previously captured in the data warehouse, provide historical data that must be retained for compliance, and more. Oracle Big Data SQL enables existing applications that query Oracle Database to analyze data from all these sources, utilizing Oracle's …