SCN GmbH

Oracle Data Warehouse Basics

Seminar / Training Oracle Data Warehouse Basics

  • the role of Business Intelligence (BI) and Oracle Data Warehousing today
  • the terminology for Oracle Data Warehousing
  • the different technologies for implementing Oracle Data Warehouses
  • implementation and organisational issues related to data warehouse projects
  • the different concepts for modelling data warehouses
  • ETL processes for creating Oracle Data Warehouses
  • identify administration and maintenance processes related to Oracle Data Warehouse projects
  • Methods for updating warehouse data
  • Concepts for warehouse metadata

Detailed seminar content

1st unit - Business Intelligence and Data Warehousing under Oracle

  • Business Intelligence and Data Warehousing
  • Basics of Business Intelligence (BI)
  • Data Warehouse and OLTP (Online Transaction Processing) - a comparison
  • Business factors for data warehouses
  • Business Intelligence and Data Warehousing solution from Oracle
  • Management Information Systems and Decision Support Systems (DSS)

2. Unit -Defining Concepts and Terminology for Oracle Data Warehouses

  • Common Oracle Data Warehouse Definitions
  • Features and characteristics of Oracle Data Warehouses
  • Components for designing and implementing Oracle Data Warehouses
  • Components of an Oracle Data Warehouse
  • Oracle Data Warehouses and Data Marts - Comparison
  • Dependent and independent data marts
  • Typical Data Warehouse Components
  • Development methods for warehouses
  • Process components of data warehouses and related objects

3. Unit -Planning and managing Oracle Data Warehouse projects

  • Consider important financial issues
  • Return on investment (ROI) and associated costs
  • Ensure business support
  • identify business and user requirements
  • identify data access requirements
  • Implementation requirements of Oracle Data Warehouses

4. Unit -Modelling Oracle Data Warehouses

  • describe data structures of the data warehouse environment
  • Oracle Data Warehouse database design phases
  • define the business model
  • define the dimensional model
  • define the physical model
  • Oracle Database Architecture - Benefits
  • the data partitioning and indexing
  • star query optimization
  • parallelism, aggregate data and query rewrite

5. Unit -Creating Oracle Data Warehouses: Extracting Data

  • the extraction, transformation and loading processes
  • extract the data
  • check different data sources
  • identify extraction techniques and methods
  • design the extraction processes
  • manage the extraction metadata
  • investigate potential problems with ETL and ensure ETL quality
  • Investigate Oracle's ETL solution

6. Unit -Creating Oracle Data Warehouses: Transforming Data

  • Define transformation
  • Investigate possible staging models Data anomalies and transformation routines
  • Various data quality issues
  • Transformation techniques Manage transformation metadata
  • design the transformation processes

7. Unit -Creating Oracle Data Warehouses: Loading Warehouse Data

  • loading data into the warehouse
  • data update models
  • create the loading process
  • the loading techniques
  • the post-processing of loaded data
  • check the data integrity

8. Unit - Updating Oracle Data Warehouse Data

  • Acquire and apply modified data
  • requirements for loading in batch mode
  • Capturing changed data for updating
  • Select method to capture changed data
  • Change Data Capture and Update Mechanisms in Oracle
  • Applying Changes to Data
  • Limitations of methods to apply changes
  • Delete and archive data. Selection criteria for ETL tools

9. Unit -Create Oracle Metadata Trail

  • Oracle Data Warehouse Metadata - Definition
  • the metadata types - DETAILS
  • develop different metadata strategies
  • the metadata management tools
  • Common Oracle Warehouse Metadata

10. Unit - Managing and Maintaining Oracle Data Warehouses

  • manage the transition to production
  • implement a pilot version of the Data Warehouse
  • the post-implementation support
  • manage growth
  • identify and resolve any performance issues with the data warehouse

Requirements

Oracle Administration

This seminar has the level "Analysis / Basis andstructure".

If you are not sure if this course is the right level for you, you can check with the trainer in advance.

We conduct this seminar online for you. You can book the training as a public seminar or as a company seminar. The practical exercises are carried out in our Remotelab and make up 40-50 percent of the seminar.

Your contacts

We offer seminars with a high practical relevance. The contents and exercises are geared to your daily tasks in the company and completely dispense with advertising references to other products of the software manufacturer.

All our training courses are manufacturer-independent. This enables us to offer critical considerations of the products themselves and comparisons with competitors of the manufacturer in the seminar. The course contents are our own and derived from the practical experience of our trainers in projects.

Of course, the contents of company seminars can be individually adapted to your needs. Please do not hesitate to contact us.
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