The Evolution of Big Data: Understanding its Definition and Applications In recent years, the term "big data" has become a household phrase, describing an overwhelming amount of data that is being generated at an unprecedented rate. However, what does it truly mean to have big data? In this article, we'll delve into the history, characteristics, and applications of big data. The concept of big data dates back to the late 1990s, when experts like Michael Cox, David Ellsworth, John Mashey, and Francis Diebold first began using the term to describe the "information explosion" that was occurring. Since then, our understanding of big data has evolved significantly, with Doug Laney from Gartner's early attempts to define its key parameters. The Three V's of Big Data Laney's work highlighted three critical aspects of big data: volume, variety, and velocity. Volume refers to the sheer amount of data being generated; variety encompasses the diverse types of d...
Handling SQL Integrity Constraint Violation Exceptions This tutorial will guide you through handling `SQLIntegrityConstraintViolationException` when persisting objects that violate database constraints. Step 1: Catch the EJB Exception Catch a `javax.ejb.EJBException` which wraps the underlying exception. try { // persistence transactions } catch (Exception e) { if (e instanceof javax.ejb.EJBException) { logger.debug("Exception instance of javax.ejb.EjbException"); } } Step 2: Get the Underlying Exception Get the underlying exception from the `EJBException` using `e.getCause()`. try { // persistence transactions } catch (Exception e) { if (e instanceof javax.ejb.EJBException) { logger.debug("Exception instance of javax.ejb.EjbException"); Throwable cause = e.getCause(); if (cause != null) { ...