Business Intelligence - OLAP and Data Warehousing
-
Dauer:
2 Tage -
Zeit:
10:00 - 16:00 -
Lieferart:
Online -
Zielgruppe:
Business Intelligence Developer -
Vorkenntnisse:
General database knowledge -
Methode:
Lecture and discussion - Erfahren Sie in der Demo mehr darüber, wie Online-Kurse durchgeführt werden.
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Kursnummer:
2022998 -
Themen:
A data warehouse (DWH) is a database used for reporting and data analysis. It is a central repository of data which is created by integrating data from one or more disparate sources. Data warehouses store current as well as historical data and are used for creating trending reports for senior management reporting such as annual and quarterly comparisons. Online Analytical Processing (OLAP) is an approach to answ…
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- Dauer:
2 Tage - Zeit:
10:00 - 16:00 - Lieferart:
Online - Zielgruppe:
Business Intelligence Developer - Vorkenntnisse:
General database knowledge - Methode:
Lecture and discussion - Erfahren Sie in der Demo mehr darüber, wie Online-Kurse durchgeführt werden.
- Kursnummer:
2022998
Themen:
A data warehouse (DWH) is a database used for reporting and data analysis. It is a central repository of data which is created by integrating data from one or more disparate sources. Data warehouses store current as well as historical data and are used for creating trending reports for senior management reporting such as annual and quarterly comparisons. Online Analytical Processing (OLAP) is an approach to answering multi-dimensional analytical queries swiftly. OLAP is part of the broader category of business intelligence, which also encompasses relational database, report writing and data mining. This training walks you through the typical Business Intelligence project and helps you to understand the elements and architecture of a DWH and the usage scenarios for OLAP.
Goals of a Data Warehouse - Components of a Data Warehouse: Operational Source Systems, Data Staging Area, Data Presentation, Data Access Tools - Dimensional Modeling: Fact Tables, Dimension Tables
B. The Data Warehouse and DesignOperational Data - The Data Warehouse and Data Models: The Data Warehouse Data Model, The Midlevel Data Model, The Physical Data Model - Normalization and Denormalization - Metadata - Technical and Physical Architecture - Deploying and Supporting the DW/BI System
C. The Relational and the Multidimensional ModelsThe Relational Model - The Multidimensional Model - Snowflake Structures - Differences between the Models - Independent Data Marts - OLAP and Aggregations - OLAP Operations
D. ETL - Loading the Data WarehouseETL (Extract, Transformation, and Load) - Designing the Staging Area - Data Structures in the ETL System - Data Flow: Extracting, Cleaning and Conforming - Loading Fact Tables - Integrating OLAP Processing into the ETL System - Development Options of ETL - Data Latency - Data Quality
E. Dimension TablesThe Basic Structure of a Dimension - The Grain of a Dimension - Flat Dimensions and Snowflaked Dimensions - Date and Time Dimensions - Big and Small Dimensions - Dimensional Roles - Degenerate Dimensions - Slowly Changing Dimensions - Ragged Hierarchies and Bridge Tables
F. OLAP and Data MiningBusiness Intelligence Applications: Direct Access Query and Reporting Tools, Standard Reports, Analytic Applications, Dashboards and Scorecards - Data Mining: Data Mining Overview, Data Mining in the Applications Architecture
Marco Skulschus (born in Germany in 1978) studied economics in Wuppertal (Germany) and Paris (France) and wrote his master´s thesis about semantic data modeling. He started working as a lecturer and consultant in 2002.
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Erfahrung: - He works as an IT-consultant and project manager. He developed various Business Intelligence systems for industry clients and the public sector. For several years now, he is responsible for a BI-team in India which is mainly involved in BI and OLAP projects, reporting systems as well as statistical analysis and Data Mining. He led several research projects and was leading scientist and project manager of a publicly funded project about interactive questionnaires and online surveys.
Projekte: - He works as an IT-consultant and project manager. He developed various Business Intelligence systems for industry clients and the public sector. For several years now, he is responsible for a BI-team in India which is mainly involved in BI and OLAP projects, reporting systems as well as statistical analysis and Data Mining.
Forschung: He led several research projects and was leading scientist and project manager of a publicly funded project about interactive questionnaires and online surveys.
Zertifizierung: Marco Skulschus is "Microsoft Certified Trainer", “Oracle Associate” and passed the ComptiaCTT+ examination.
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