Gain Essential Analytic SQL Skills with Oracle Database 12c for Data Warehousing

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Oracle Database 12c: Analytic SQL for Data Warehousing Course Overview


Oracle Database 12c: Analytic SQL for Data Warehousing is a comprehensive course designed to help users become more proficient with the latest version of Oracle's market-leading database platform. The course covers topics related to efficient data warehousing, such as OLAP operations, data transforms, common transformations, dimensional modeling, cube design, and advanced SQL constructs.
This course is ideal for anyone new to data warehousing or needing to get up to speed with Oracle Database 12c. Attendees gain the skills necessary to design and develop reports, dashboards and analysis utilizing the power of the Oracle analytics engine. They also learn to aggregate data, apply data transformations, visualize data with charts and graphs, and leverage Oracle's powerful in-memory options. In addition, attendees become proficient in developing stored procedures, packages and triggers with the use of PL/SQL. Finally, they learn to secure a data warehouse, protect sensitive data, control access to resources and monitor performance.
At the conclusion of the course, attendees will be familiar with the latest features of Oracle's industry-leading data warehousing platform, and have the skills needed to increase business intelligence, analysis and decision-making.

This is a Rare Course and it can be take up to 3 weeks to arrange the training.

The 1-on-1 Advantage

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Flexible Dates

  • • Choose Start Date
  • • Reschedule After Booking
  • • Weekend / Evening Option
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4-Hour Sessions

You will learn:

Module 1: Introduction
  • Course Objectives, Course Agenda and Class Account Information
  • Describe the Schemas and Appendices used in the Lesson
  • Overview of SQL*Plus Environment
  • Overview of SQL Developer
  • Overview of Analytic SQL
  • Oracle Database SQL and Data Warehousing Documentation
  • Generating Reports by Grouping Related Data
  • Review of Group Functions
  • Reviewing GROUP BY and HAVING Clause
  • Using the ROLLUP and CUBE Operators
  • Using the GROUPING Function
  • Working with GROUPING SET Operators and Composite Columns
  • Using Concatenated Groupings with Example
  • Using Hierarchical Queries
  • Sample Data from the EMPLOYEES Table
  • Natural Tree Structure
  • Hierarchical Queries: Syntax
  • Walking the Tree: Specifying the Starting Point
  • Walking the Tree: Specifying the Direction of the Query
  • Using the WITH Clause
  • Hierarchical Query Example: Using the CONNECT BY Clause
  • Introducing Regular Expressions
  • Using the Regular Expressions Functions and Conditions in SQL and PL/SQL
  • Introducing Metacharacters
  • Using Metacharacters with Regular Expressions
  • Regular Expressions Functions and Conditions: Syntax
  • Performing a Basic Search Using the REGEXP_LIKE Condition
  • Finding Patterns Using the REGEXP_INSTR Function
  • Extracting Substrings Using the REGEXP_SUBSTR Function
  • Overview of SQL for Analysis and Reporting Functions
  • Using Analytic Functions
  • Using the Ranking Functions
  • Using Reporting Functions
  • Performing Pivoting Operations
  • Using the PIVOT and UNPIVOT Clauses
  • Pivoting on the QUARTER Column: Conceptual Example
  • Performing Unpivoting Operations
  • Using the UNPIVOT Clause Columns in an UNPIVOT Operation
  • Creating a New Pivot Table: Example
  • Row Pattern Navigation Operations
  • Handling Empty Matches or Unmatched Rows
  • Excluding Portions of the Pattern from the Output
  • Expressing All Permutations
  • Rules and Restrictions in Pattern Matching
  • Examples of Pattern Matching
  • Using the MODEL clause
  • Demonstrating Cell and Range References
  • Using the CV Function
  • Using FOR Construct with IN List Operator, incremental values and Subqueries
  • Using Analytic Functions in the SQL MODEL Clause
  • Distinguishing Missing Cells from NULLs
  • Using the UPDATE, UPSERT and UPSERT ALL Options
  • Reference Models
  • Oracle BI Cloud Service
  • Introducing Oracle Business Intelligence Cloud Service
  • Guidance Through Exploratory Analysis & Deep Discovery through Rich Feature Set
  • BICS Can Integrate Any Data Source Quickly
  • BICS Makes Any Time The Right Time For New Insights
  • Speed, Flexibility and Economy of Cloud
  • Immediate Access to New Functionality
  • Enterprise-Grade Service Reliability
Live Online Training (Duration : 16 Hours) Fee On Request
We Offer :
  • 1-on-1 Public - Select your own start date. Other students can be merged.
  • 1-on-1 Private - Select your own start date. You will be the only student in the class.

4 Hours
8 Hours
Week Days
Weekend

Start Time : At any time

12 AM
12 PM

1-On-1 Training is Guaranteed to Run (GTR)
Group Training
Date On Request
Course Prerequisites

There are no prerequisites for taking this Oracle Database 12c: Analytic SQL for Data Warehousing course. However, it is recommended that attendees have prior knowledge and experience working with SQL and relational databases.

Target Audience


The target audience for Oracle Database 12c: Analytic SQL for Data Warehousing training would typically consist of Database Administrators, Architects, and Developers
This training is suitable for intermediate to advanced Oracle Database professionals looking to build up their knowledge on the use of analytic functionalities for data warehousing
The course is also applicable for those working in Business Intelligence, DBA roles, operations, technical support and systems integration roles
It's recommended that attendees have prior experience in Oracle Database technology before attending this training course, as well as some experience with query optimization, data manipulation and tuning
Furthermore, knowledge of both installations and table functions would benefit attendees of this training

Learning Objectives of Oracle Database 12c: Analytic SQL for Data Warehousing


1. Understand the importance of analytics and data warehousing in providing business insights
2. Learn how to enable analytic capabilities with Oracle Database 12c
3. Be able to write analytic SQL statements to access and analyze enterprise data
4. Gain the skills to customize and optimize analytic query performance
5. Learn how to use analytic functions including Analytical Rating, Analytic Ranking and Analytic Aggregations
6. Understand statistical and mathematical analytic functions
7. Understand how to access and analyze complex data models
8. Get an understanding of relational data warehouse objects,, complex query transformations, aggregate navigation and hierarchical queries
9. Learn the advanced topics in data mining and analytics
10. Acquire the skills to manage analytic workloads using Oracle Database 12c's multitenancy features

Student Feedback  (Check Koenig Feedback on Trustpilot)

Q1 Say something about the Trainer? Q2 How is Koenig different from other training Companies? Q3 Will you come back to Koenig for training ?

Student Name Feedback
Abu
United States
A1. Yes, she was very clear & a strong mastery of both English & Azure platforms hence following was easy. She was also patient and was answering every question asked, she also shared material & tips on how to pass the exam, Well done, and keep it up.
Nick Barker
United States
A1. Calm and understanding, she not only kept the course running well but also took time to help those with lots of questions. Very well done.
Robin Johnson
United States
A2. Individual attention during training, excellent customer service and coordination. Neha has been ever so helpful and is definitely an asset to Koenig.
Shivani Prasad
United States
A1. The trainer was great and his teaching methods were incredible. He used different teaching methods to ensure I was learning well. A fun trainer with lots of patience and understanding.
Adam
United States
A1. The trainer was very knowledgeable and well prepared about the presentation/training subject, with a positive attitude towards students and making every effort in answering questions during the training session. Top-notch service!
Suresh
United States
A1. Exceptional... recommend to everyone!
Shyam Vaddakapett
United States
A1. My trainer, Mohit Kakkar was excellent as he focused on hands-on assignments to supplement the concepts of AZ 900. The training coordinator Jasmeet as well as the ops manager Sheshadri are also very professional and customer-centric. I recommend Koenig for training courses, and I will take some more courses with them soon.
Gilles Chirlias
United States
A1. Chavi was a great teacher, I have learned a lot from her. I would like to have her for the next training, which would be the AZ 301 and AZ 500.
Abdulrahman Saad Alshahrani
United States
A1. Excellent trainer. I will take another course with him someday. He deserves a good appreciation from his Manager.
Anonymous
United States
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FAQ's


1-on-1 Public - Select your start date. Other students can be merged.
1-on-1 Private - Select your start date. You will be the only student in the class.
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Schedule for Group Training is decided by Koenig. Schedule for 1-on-1 is decided by you.
In 1-on-1 you can select your own schedule, other students can be merged but you select the schedule. Choose 1-on-1 if published schedule do not meet your requirement. If you also want a private session, opt for 1-on-1 Public.
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