Individuals

Learn how you can get certified, advance your career, and get promoted with our self-paced subscription of over 900 self-paced courses.

Learn More

Oracle Database 12c R1: High Availability New Features Ed 1 (OR-12cR1HANF)

Be the first to review this course

This Oracle Database 12c R1: (High Availability New Features Ed 1) course presents the Oracle Database 12c: (High Availability new features) contained in Oracle Grid Infrastructure.

Virtual

Learning Style

Oracle

Provider

Intermediate

Difficulty

3 Days

Course Duration

Course Info

Download PDF

Certificate

See Sample

Timezone

tab
About Individual Course: Individual course plan gives you access to this course $2,640.00 / Seat

This Oracle Database 12c R1: (High Availability New Features Ed 1) course presents the Oracle Database 12c: (High Availability new features) contained in Oracle Grid Infrastructure.

Course Information

About this course:

This Oracle Database 12c R1: (High Availability New Features Ed 1) course presents the Oracle Database 12c: (High Availability new features) contained in Oracle Grid Infrastructure. This incorporates Oracle RAC (Real Application Clusters), ASM (Automatic Storage Management) and Cloud FS, Clusterware, Oracle Global Data Service, and Oracle Data Guard. This course also presents the Oracle Database Exadata Cloud Service.

Learn To:

Explain Oracle Global Data Services
Manage and configure the Oracle Database 12c R1: (High Availability new features ED 1) include in Oracle Clusterware Infrastructure incorporating Cloud FS and ASM (Automatic Storage Management).
Obtain an overview of the Oracle Database Exadata Cloud Service.
Explain the new functions listed in Oracle Data Guard.

Benefits to You:

By appearing in this course, you will be the first to get training in utilizing Oracle’s latest group technologies. This course will help you to get beneficial experience through labs and hands-on demos.

Product Areas Covered:

Oracle RAC – Real Application Clusters
Oracle GDS – Global Data Sevices
Oracle Grid Infrastructure incorporating Cloud FS, Automatic Storage Management, and Clusterware.
Oracle Data Guard.
Obtain an overview of the Oracle Database Exadata Cloud Service.

Explore these latest and improved features:

Evaluation of What-If command
Application Continuity
Policy-based Cluster Management
Flex Automatic Storage Management
Flex Clusters
Data Guard Far Sync
Cloud Filesystem Enhancements and New Features
GDS - Global Data Services

Salary Estimate:

The Oracle Developer can make an average salary of $106,225 per annum.

Course Objective:

Explain Oracle GDS
Obtain an overview of the Oracle Database Exadata Cloud Service
Study the methods to perform important administration tasks for each latest features.
Demonstrate the Oracle Database 12c R1: (High Availability new features ED 1) included in Oracle Grid Infrastructure
Study the methods to perform important configuration and installation tasks for each new feature.

Audience:

Data Warehouse Administrator
Technical Administrator
Database Administrators
Support Engineer
Administrator
Sales Consultants

Prerequisite:

Practical understanding of Oracle Database 11g: R2, incorporating Real Application, Automatic Storage Management, and Clusterware.

Career & Salary Insight

Outline

More Information

More Information
Brand	Oracle
Subjects	IT Ops & Management
Lab Access	No
Technology	Oracle
Learning Style	Virtual Classroom
Learning Type	Course
Difficulty	Intermediate
Course Duration	3 Days
Language	English

Acclaim Badge

Reviews

Write Your Own Review

Only registered users can write reviews. Please Sign in or create an account

Course Expert:

Tom Robertson
(Data Science Enthusiast)

Tom is an innovator first, and then a Data Scientist & Software Architect. He has integrated expertise in business, product, technology and management. Tom has been involved in creating category defining new products in AI and big data for different industries, which generated more than hundred million revenue cumulatively, and served more than 10 million users.
As a Data Scientist and Software Architect Tom has extensive experience in data science, engineering, architecture and software development. To date Tom has accumulated over a decade of experience in R, Python & Linux Shell programming.

Tom has expertise on Python, SQL, and Spark. He has worked on several libraries including but not limited to Scikit-learn, Pandas, NumPy, Matplotlib, Seaborn, SciPy, NLTK, Keras, and Tensorflow.