Data warehousing tutorial

  • Basic elements of data warehouse

    A Data Warehouse is used for reporting and analyzing of information and stores both historical and current data.
    The data in DW system is used for Analytical reporting, which is later used by Business Analysts, Sales Managers or Knowledge workers for decision-making..

  • Basic elements of data warehouse

    Extract, transform, and load (ETL) is the process of combining data from multiple sources into a large, central repository called a data warehouse.
    ETL uses a set of business rules to clean and organize raw data and prepare it for storage, data analytics, and machine learning (ML)..

  • Basic elements of data warehouse

    In general, data warehouses have large data volumes and large amounts of data redundancy with lots of repeating values.
    This allows database compression to be very effective and enables very high data compression ratios (i.e. the ratio between the uncompressed size and compressed size)..

  • How to build data warehouse step by step?

    The 8 steps to building a successful data warehouse

    1. Defining Business Requirements
    2. Setting Up Physical Environments
    3. Introducing Data Modelling
    4. Choosing Your ETL Solution
    5. Online Analytics Processing (OLAP) Cube
    6. Creating A Front End
    7. Optimising Queries
    8. Rolling Out The End Product

  • What are the steps in data warehousing?

    Steps in Data Warehousing

    1. Extraction of data – A large amount of data is gathered from various sources
    2. Cleaning of data – Once the data is compiled, it goes through a cleaning process
    3. Conversion of data – After being cleaned, the format is changed from the database to a warehouse format

  • What do you learn in data warehousing?

    Each data warehouse tutorial or course offers specific use cases and trains learners to operate relevant data management systems.
    You can also learn enterprise database management, which covers how data warehouses aid corporate decision making and business intelligence..

  • What is the basic of data warehousing?

    A data warehouse is a relational database that is designed for query and analysis rather than for transaction processing.
    It usually contains historical data derived from transaction data, but can include data from other sources..

A data warehouse is constructed by integrating data from multiple heterogeneous sources. It supports analytical reporting, structured and/or ad hoc queries and decision making. This tutorial adopts a step-by-step approach to explain all the necessary concepts of data warehousing.
This tutorial adopts a step-by-step approach to explain all the necessary concepts of data warehousing.DWH - Data MartingConceptsPDF VersionDWH - Schemas

Audience

This tutorial will help computer science graduates to understand the basic-to-advanced concepts related to data warehousing

Prerequisites

Before proceeding with this tutorial, you should have an understanding of basic database concepts such as schema, ER model

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