Overview of Data platforms Data Warehouse + Data Lake

[Audio] Hello students, Today we are going to learn about Overview of Data platforms. Data Warehouse + Data Lake..

[Audio] Here are the objectives behind of these data platforms . To learn what is business Intelligence . What is the general concept of the data warehouse . What is the dimensional modeling . How is the Metadata uses in ETL and What is the OLAP and Data mining..

[Audio] At the end of the module, you will be able, • To learn what is Business Intelligence. • What is the general concept of the data warehouse. • What is the dimensional modeling. • How is the Metadata uses in ETL. • And what is the OLAP and Data mining..

[Audio] Business intelligence or BI is a set of practices of collecting, structuring, analyzing, and turning raw data into actionable business insights. BI considers methods and tools that transform unstructured data sets, compiling them into easy-to-grasp reports or information dashboards. The main purpose of BI is to provide actionable business insights and support data-driven decision making. BI has a direct impact on organization's strategic, tactical and operational business decisions. BI supports fact-based decision making using historical data rather than assumptions. BI tools perform data analysis and create reports, summaries, dashboards, maps, graphs, and charts to provide users with detailed intelligence about the nature of the business..

[Audio] Here is an representation of process involved in business intelligence. The process of business intelligence can be divided into four stages Data Gathering Data Cleaning Analysis Reporting.