Oracle Database 12c R1: High Availability New Features Ed 1 (OR-12cR1HANF)
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
Certificate
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9:00 AM - 5:00 PM CST
Duration - 0 Days -
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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.
Outline
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 |
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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.
