Techtalks: Data Science

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Data profiling in ETL is the process of analyzing and assessing the quality and structure of source data before it is loaded into a data warehouse or repository. The purpose is to identify potential data quality issues, define rules and transformations, and ensure the accuracy, completeness, and consistency of the data. By performing data profiling, organizations can make informed business decisions and improve the overall quality of their data. salesforce field service lightning certification

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With the help of this CCSP online training certification course, develop your knowledge of cloud security architecture, design, applications, and operations. You will get step-by-step instructions and a comprehensive lesson plan that is simple to follow covering every aspect of the CCSP, which will help you further your career in the expanding sector of cloud security.

Relational Database (RDBMS)

• RDBMS is a DBMS that enables the organization of aggregated data.
• Relational DBMS is the most widely used database like Oracle, SQL Server. It is characterized by handling data in tables with basic keys that make it possible to identify the rows in each table separately. And an external key that allows you to associate the table with other tables.

OLAP (Online Analytical Processing)

• OLAP is a collection of software tools that provide information to business decision-makers.
• OLAP usually works on a standardized database to facilitate OLAP, not OLTP. These databases are often referred to as data warehouses.
• You can check the comparison and key differences between OLAP vs OLTP here