Oracle

Oracle provides a range of industry-leading on-premise and cloud-based solutions to meet the data management requirements from small and medium sized businesses to large global enterprises. These include the latest generation of the world's most popular database, Oracle Database 18c.

Grid computing is a new IT architecture that produces more resilient and lower cost enterprise information systems. With grid computing, groups of independent, modular hardware and software components can be connected and rejoined on demand to meet the changing needs of businesses.

The grid style of computing aims to solve some common problems with enterprise IT: the problem of application silos that lead to under utilized, dedicated hardware resources, the problem of monolithic, unwieldy systems that are expensive to maintain and difficult to change, and the problem of fragmented and disintegrated information that cannot be fully exploited by the enterprise as a whole.

Benefits of Grid Computing Compared to other models of computing, IT systems designed and implemented in the grid style deliver higher quality of service, lower cost, and greater flexibility.

Higher quality of service results from having no single point of failure, a robust security infrastructure, and centralized, policy-driven management. Lower costs derive from increasing the utilization of resources and dramatically reducing management and maintenance costs.

Rather than dedicating a stack of software and hardware to a specific task, all resources are pooled and allocated on demand, thus eliminating under utilized capacity and redundant capabilities.

Grid computing also enables the use of smaller individual hardware components, thus reducing the cost of each individual component and providing more flexibility to devote resources in accordance with changing needs.

Syllabus:

• SQL
• Retriving data using the SQL select statement]
• Restricting and sorting data
• Using single row function to customize output.
• Reporting aggregated data using the grout function.
• Displaying data from multiple tables –I
• Displaying data from multiple tables-II
• Using sub queries to solve problems
• Using set operators
• Manipulating data
• Using DDL statements to create and manage tables
• Creating other schema objects
• Managing objects with data dictionary
• Controlling User access
• Managing schema objects
• Manipulating large data sets
• Generating report by grouping related data
• Managing data in different time zones
• Retrieving data using sub queries
• Hierarchical retrieval
• Regular expression support 
• PL/SQL
• Introduction
• Declaring Variables
• Writing Executable Statements
• Interacting with Oracle Server
• Writing Control Structures
• Working with Composite Data Types
• Writing Explicit Cursors
• Writing Implicit Cursors
• Handling Exceptions
• Creating Procedures
• Creating Functions
• Managing Subprograms
• Creating Packages
• More Package concepts
• Oracle supplied Packages
• Manipulating Large Objects
• Creating Database Triggers 
•  More Trigger concepts
• Managing Dependents
• Admin I
• Introduction
• Installing the Oracle Database Structure
• Creating an Oracle Instance
• Managing the Oracle Instance
• Managing Database Storage Structure
• Oracle managed file(OMF)
• Creating a table space
• Administering security
• Managing Schema Objects
• Types of Indexes
• Managing Data and Concurrency
• Locking Mechanism
• Managing Undo Data 
•  Implementing Oracle Database Security
• Configuring the Oracle Network environment
• Proactive Maintenance
• ADDM
• Performance Management
• Backup and Recovery Concept
• Hot Backup
• Cold Backup
• Hands on practice
• Performing Database Backups
• Performing Database Recovery
• Performing Flashback
• Hands on practice
• Flashback version query
• Moving Data
• Oracle Data pump
•  Admin II:
• Introduction
• Oracle managed files
• Configuring recovery manager
• Using recovery manager
• RMAN backup types
• Hands on practice
• Recovering from non critical loses
• Database recovery
• Types of incomplete recovery
• Flashback
• Dealing with database corruption
• Hands on practice
• Monitoring and managing memory
• Automatic shared memory management
• Automatic performance management
• Automatic workload repository
• Managed schema objects
• Hands on practice
• Clusters
• Managing storage
• Automatic storage management
• ASM disk group
• Portioning a disk
• Managing resources
• Automatic task with scheduler 
• Database security
• Transparent data encryption
• Using globalization support
• Hands on practice