Difference between Data warehouse and Data lake

                                          EXCEPTION HANDLING   Exception handling in Java allows you to handle and manage errors, exceptions, and abnormal situations that may occur during the execution of a program. It helps you handle these exceptions gracefully without causing the program to terminate abruptly.  Java provides a robust exception-handling mechanism through its try-catch-finally blocks.     Let's check out how exception handling works in Java: The Try Block : The code that may potentially throw an exception is enclosed within  a try block. It is the section of code where you expect an exception to occur. The Catch Block : A catch block follows the try block and is used to catch and handle specific exceptions. It specifies the type of exception it can catch. If an exception of that type o...

What are the differences between a Data warehouse and a Data Lake? Before discussing, let me define these significant terms Data warehouse and Data lake. Data warehouse : It is a combined repository of integrated and structured data collected from various sources within an organization. It is designed to support business intelligence activities such as reporting, analysis, and decision-making. Now here the question arises what's the reason behind creating a data warehouse?  The purpose of a data warehouse is to provide a common view of an organization's data, allowing users to access and analyze information from different systems and databases in a standardized format. They play a vital role in enabling businesses to analyze large volumes of data and gain valuable insight into their functioning, customer behavior, market trends, and more. Data Lake: A data lake is a centralized repository that allows you to store large volumes of structured, semi-structured, and unstructured da...