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Oracle Database 11g: Administer a Data Warehouse Certification Online Course

Our Oracle Database 11g: Administer a Data Warehouse Certification Online Course helps Oracle database administrators/warehouse developers to design and operate a data warehouse (dimensional models). The course will discuss the best tools and techniques for extracting data from OLTP systems, when to use partitioning, how to utilise partitioning, and other tools. The course covers data cleaning. The student will also design a star schema and object tables data warehouse. Student DBA/developers have used this activity as a template.

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₹21000

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Overview of Oracle Database 11g: Administer a Data Warehouse Training Online Course

This Oracle Database 11g: Administer a Data Warehouse course covers data warehouse administration basics. Learn how to improve data warehouse performance and manageability with Oracle Database. Expert instructors will teach you to extract, transform, and load data into an Oracle database warehouse. SQL Access Advisor optimises workload. Materialized views and query rewrites boost data warehouse performance.

Online Training to Maintain Our Intelligent Oracle Database 11g: Administer a Data Warehouse:

  • This course helps learners how to configure materialised views for rapid refresh, specify startup parameters for rewriting query, and use them for summary management.
  • This certificate training covers data warehouse administration basics. Learn how to improve data warehouse performance and manageability with Oracle Database.
  • A knowledgeable expert will walk you through the guidelines for using SQL Access Advisor to handle your complete workload, and give you some hands-on experience with the software.
  • Learnovita's certifications are widely recognised in the business sector. This certification will help you get hired at the top companies across the world.
  • All of the course material is taught by demonstration, and learners acquire new ideas by study and practice in the real world.
  • This is a great time to take in this course and advance your career, as the abilities it teaches are highly sought after in today's job market.
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Oracle Database 11g: Administer a Data Warehouse Certification Online Course Objectives

  • Oracle Database 11g: Data Warehouse Administration Learnovita has launched a new course. After finishing this course, students will be able to configure materialised views for rapid refresh, establish initialization settings for rewriting queries, and use materialised views for summary management.
  • Reduce reaction time for data-intensive processes by using parallel processing.
  • In the data warehouse, extract, transform, and load data.
  • To increase data warehouse performance, create, utilise, and renew materialised views.
  • To swiftly answer business questions using materialised views, use Query rewrite.
  • Tune materialised views for quick refresh and query rewriting using SQL Access Advisor and PL/SQL functions.
  • Employ the compression and resumable session features.
  • Examine the fundamental Oracle data warehousing principles.
  • Excellent SQL skills, as well as experience in data warehouse design and implementation.
  • Experience in data warehouse design, implementation, and maintenance.
  • The ability to read and comprehend execution plans.
  • Universal Installer for Oracle Universal Installer for Oracle (OUI).
  • Database Configuration Helper for Oracle.
  • A database upgrade assistant.
  • Network configuration assistant.
  • A database management system is Oracle Enterprise Manager Database Express.
  • The following are the skills most frequently requested for a data warehouse analyst: Strong analytical, research, and problem-solving abilities. an undergraduate degree in computer science or a closely related subject. a thorough understanding of relational database theory. database systems employment experience of three to five years.
  • Cloud Data Warehouses are often completely managed and simple to use. Apart from scalability, these cloud-based data warehouses' main benefits include ease of use, manageability, and most crucially, cost effectiveness.
  • The main advantage of a data warehouse is ongoing development. By learning how to use data warehouses for business intelligence and how to work as a business intelligence developer, you will be able to improve the conformity and quality of your data by the conclusion of the course.
  • Data warehouses are in a fascinating stage of growth and development. There will be a greater dependence on them and the technologies that make them more user-friendly than ever before since the size of the global data warehousing industry is predicted to increase at a CAGR of 10% until 2028.
  • A group of libraries developed in any programming language make up an Oracle Database 11g: Manage a Data Warehouse tool, which will make it easier for us to do data integration and transformation operations for any purpose. For instance, certain data is collected when we visit the web on our mobile device.
  • According to 353 recent salaries, the compensation range for Oracle Database 11g: Manage a Data Warehouse in India for those with less than one year of experience varies from 2.2 Lakhs to 8 Lakhs, with an average yearly income of 4.5 Lakhs.
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Top Companies Placement

An Oracle Database 11g: Administer a Data Warehouse Training Developer will be responsible for the integration and system tests for software changes. An Oracle Database 11g: Administer a Data Warehouse Training Developer is also responsible for designing and running user acceptance tests and implementing software changes.and more and are often rewarded with substantial pay raises as shown below
  • Designation
  • Annual Salary
    Hiring Companies
  • 3.24L
    Min
  • 6.5L
    Average
  • 13.5L
    Max
  • 4.50L
    Min
  • 8.5L
    Average
  • 16.5L
    Max
  • 4.0L
    Min
  • 6.5L
    Average
  • 13.5L
    Max
  • 3.24L
    Min
  • 6.5L
    Average
  • 12.5L
    Max
Top Skills You Will Gain
  • Architecture
  • Partition, Departition
  • Sort, Transform Components
  • Database Components
  • Miscellaneous Components
  • Datasets, FTP Components
  • Compress Components
  • Validate Components

Online Classroom Batches Preferred

Monday (Mon - Fri)
05-May-2025
08:00 AM (IST)
Wednesday (Mon - Fri)
07-May-2025
08:00 AM (IST)
Saturday (Sat - Sun)
10-May-2025
11:00 AM (IST)
Saturday (Sat - Sun)
11-May-2025
11:00 AM (IST)
Can't find a batch you were looking for?
₹21000 ₹16000 10% OFF Expires in

No Interest Financing start at ₹ 5000 / month

Corporate Training

  • Customized Learning
  • Enterprise Grade Learning Management System (LMS)
  • 24x7 Support
  • Enterprise Grade Reporting

Oracle Database 11g: Administer a Data Warehouse Training Course Curriculam

Trainers Profile

Trainers are certified professionals with 13+ years of experience in their respective domains as well as they are currently working with Top MNCs. As all Trainers from Oracle Database 11g: Administer a Data Warehouse Training Online Training course are respective domain working professionals so they are having many live projects, trainers will use these projects during training sessions.

Pre-requisites

There is no Prerequisite to learn Oracle Database 11g: Administer a Data Warehouse Training Training Online, Knowledge of the database or data warehouse.

Syllabus of Oracle Database 11g: Administer a Data Warehouse Training Online Course Download syllabus

  • Development Tools
  • Oracle SQL Developer
  • Enterprise Manager
  • Sample Schemas used
  • Characteristics of a Data Warehouse
  • Comparing OLTP and Data Warehouses
  • Data Warehouse Architectures
  • Data Warehouse Design
  • Data Warehouse objects
  • Data Warehouse Schemas
  • Optimizing Star Queries
  • Introducing Bitmap Join Indexes
  • Understanding Star Query Optimization and Bitmap Joined Index Optimization
  • Partitioned Tables and Indexes
  • Partitioning Methods
  • Partitioning Types
  • Partition Pruning and Star queries
  • Operations That Can Be Parallelized
  • How Parallel Execution Works
  • Degree of Parallelism
  • Parallel execution plan
  • Automatice Parallelism
  • Parallel Query
  • Parallel DDL
  • Parallel DML
  • Tuning Parameters for Parallel Execution
  • Balancing the Workload
  • Extraction Methods
  • Capturing Data With Change Data Capture
  • Sources and Modes of Change Data Capture
  • Publish and Subscribe Model: The Publisher and the Subscriber
  • Synchronous and Asynchronous CDC
  • Asynchronous AutoLog Mode and Asynchronous HotLog Mode
  • Transportation in a Data Warehouse
  • Transportable Tablespaces
  • Loading Mechanisms
  • Applications of External Tables
  • Defining external tables with SQL*Loader
  • Populating external tables with Data Pump
  • Other Loading Methods
  • Data transformation
  • Transformation Mechanisms
  • Transformation Using SQL
  • Table Functions
  • DML error logging
  • The Need for Summary Management
  • Types of Materialized Views
  • Using Materialized Views for Summary Management
  • Materialized View Dictionary views
  • Refresh Options
  • Refresh Modes
  • Conditions That Effect Possibility of Fast Refresh
  • Materialized View Logs
  • Partition Change Tracking (PCT) Refresh
  • Refresh Performance Improvements
  • What Are Dimensions, Fact Tables, Cubes, Star Schemas, and Snow Flaked Star Schema
  • Creating Dimensions and Hierarchies
  • Dimensions and Privileges
  • Dimension Restrictions
  • Verifying Relationships in a Dimension
  • Dimension Invalidation
  • Query Rewrite: Overview
  • What Can be Rewritten
  • Conditions Required for Oracle to Rewrite a Query
  • Query Rewrite guidelines
  • Setting Initialization Parameters for Query Rewrite
  • Query Rewrite Methods
  • Partition Change Tracking (PCT) and Query Rewrite
  • Query Rewrite Enhancement to Support Queries Containing Inline Views
  • SQL Access Advisor: Usage Model
  • Setting Initial Options
  • Specifying the Workload Source
  • Recommendation Options
  • Schedule and Review
  • PL/SQL Procedure Flow
  • Tuning Materialized Views for Fast Refresh and Query Rewrite
  • Table Compression and Resumable Sessions
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Industry Projects

Project 1
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Project 2
ADDM Project

Oracle Database self-diagnostic engine and Automatic Workload Repository (AWR) are both components of the Automatic Database Diagnostic Monitor project.

Project 3
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  • Complete 85% of the Oracle Database 11g: Administer a Data Warehouse Training Certification course
  • Successful completion and evaluation of any one of the given projects
Honestly Yes, We Provide 1 Set of Practice test as part of Your Oracle Database 11g: Administer a Data Warehouse Training Training course. It helps you to prepare for the actual Oracle Database 11g: Administer a Data Warehouse Training Certification exam. You can try this free Oracle Database 11g: Administer a Data Warehouse Training Fundamentals Practice Test to Understand the Various type of tests that are Comes Under the Parts of Course Curriculum at LearnoVita.

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