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Introduction to Data Warehouse

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Blismos Academy

2:12:38

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  • 1 - Introduction to Data Warehouse.mp4
    02:18
  • 2 - Transactional vs Analytical Processing.mp4
    10:31
  • 3 - What is Data warehouse.mp4
    08:15
  • 4 - History of Data Warehouse.mp4
    05:30
  • 5 - OLTP OLAP.mp4
    06:33
  • 6 - Introduction to ETL.mp4
    03:38
  • 7 - Extraction in ETL.mp4
    05:46
  • 8 - Transformation Introduction.mp4
    03:51
  • 9 - Types of Transformation.mp4
    05:30
  • 10 - Load Data.mp4
    01:47
  • 11 - Data Warehouse Architecture Introduction.mp4
    02:18
  • 12 - Data Warehouse Architectures based on layers.mp4
    02:55
  • 13 - Data Warehouse Architecture based on Tiers.mp4
    06:14
  • 14 - What is Data Mart.mp4
    06:50
  • 15 - Storing Data in Data Warehouse.mp4
    01:48
  • 16 - Dimension Tables and Fact Tables.mp4
    03:04
  • 17 - Dimension and Fact table with Example.mp4
    07:01
  • 18 - Introduction To Data Warehouse Schema.mp4
    02:51
  • 19 - Star Schema.mp4
    03:01
  • 20 - Snowflake Schema.mp4
    04:08
  • 21 - Fact Constellation Schema.mp4
    03:36
  • 22 - SCD Introduction.mp4
    05:19
  • 23 - SCD type 0 and 1.mp4
    05:03
  • 24 - SCD type 2.mp4
    04:08
  • 25 - SCD Type 3.mp4
    03:04
  • 26 - SCD type 4.mp4
    02:42
  • 27 - SCD Type6.mp4
    03:14
  • 28 - ETL tools.mp4
    03:45
  • 29 - Scheduling the Tools.mp4
    03:23
  • 30 - Reporting Tools.mp4
    04:35
  • Description


    Data Warehouse

    What You'll Learn?


    • You will learn the modern architecture of a Data Warehouse
    • You will learn the principles of Data Warehouse Design
    • Foundational data warehousing concepts and fundamentals
    • Data Warehouse Architecture, Data Mart, Data Warehouse Schema and SCDs
    • Learning all the concepts and terminologies related to the Datawarehouse , such as the OLTP, OLAP, Dimensions, Facts, Start Schema, Snow flake Schema etc
    • in the course you would also learn the basics of Data Modelling and how to start with it logically and physically.

    Who is this for?


  • This course is for Students, Professionals or Anyone who needs upgrade their knowledge in Data Warehouse
  • More details


    Description

    A Data warehouse is a database that is used for data analysis and reporting. It is a central repository for all the data that is needed for reporting and analysis. Data and analytics have become indispensable to businesses to stay competitive. Business users rely on reports, dashboards, and analytics tools to extract insights from their data, monitor business performance, and support decision making. Data warehouses power these reports, dashboards, and analytics tools by storing data efficiently to minimize the input and output (I/O) of data and deliver query results quickly to hundreds and thousands of users concurrently.

    A data warehouse may contain multiple databases. Within each database, data is organized into tables and columns. Within each column, you can define a description of the data, such as integer, data field, or string. Tables can be organized inside of schemas, which you can think of as folders. When data is ingested, it is stored in various tables described by the schema. Query tools use the schema to determine which data tables to access and analyze.

    A data warehouse is specially designed for data analytics, which involves reading large amounts of data to understand relationships and trends across the data. A database is used to capture and store data, such as recording details of a transaction.

    The course is a right blend of concepts with right examples for making the topics easier which includes

    • 2+ hours of on demand videos

    • Clarifications through community

    • Understand everything step by step from the absolute basics to the advanced topics

    Here is what you'll learn:

    • What is a data warehouse?

    • What is the need for a data warehouse?

    • History of Data Warehouse

    • OLTP & OLAP

    • Introduction to ETL

    • Extraction, Transformation and Load data in ETL

    • Types of Transformation

    • Data Warehouse Architecture

    • Data Warehouse Architectures based on layers and Tires

    • Data Mart

    • Storing Data in Data Warehouse

    • Dimension Tables and Fact Tables

    • Dimension and Fact table with Example

    • Data Warehouse Schema and Types

    • Slowly Changing Dimensions Introduction and Types

    • ETL Tools

    • Scheduling the Tools

    • Reporting Tools

    Who this course is for:

    • This course is for Students, Professionals or Anyone who needs upgrade their knowledge in Data Warehouse

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    Blismos Academy
    Blismos Academy
    Instructor's Courses
    Practitioners of Big Data and related technologiesTeam has over two decades of experience in the industryPassionate in dealing with data and providing IT solutionsWe believe in continuous learningEnjoy spreading the knowledge through Training, Workshops, Internships and Projects assignmentsOur Solution provides support and expertise advice that is presented for consideration and decision-making in Big Data Technologies
    Students take courses primarily to improve job-related skills.Some courses generate credit toward technical certification. Udemy has made a special effort to attract corporate trainers seeking to create coursework for employees of their company.
    • language english
    • Training sessions 30
    • duration 2:12:38
    • Release Date 2023/01/24

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