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What is Change Data Capture

Chapter 14

Big Data Analytics Techniques for Market Intelligence

It is the procedure of locating and collecting changes made to data in a database and then sending those changes instantly to a system or process downstream.

Published in Chapter:

Challenges and Solutions of Real-Time Data Integration Techniques by ETL Application

Neepa Biswas (Narula Institute of Technology, India), Sudarsan Biswas (RCC Institute of Information Technology, India), Kartick Chandra Mondal (Jadavpur University, India), and Suchismita Maiti (Narula Institute of Technology, India)

Source Title: Big Data Analytics Techniques for Market Intelligence

DOI: 10.4018/979-8-3693-0413-6.ch014

Abstract

Business organizations are trying to focus from the traditional extract-transform-load (ETL) system towards real-time implementation of the ETL process. Traditional ETL process upgrades new data to the data warehouse (DW) at predefined time intervals when the DW is in off-line mode. Modern organizations want to capture and respond to business events faster than ever. Accessing fresh data is not possible using traditional ETL. Real-time ETL can reflect fresh data on the warehouse immediately at the occurrence of an event in the operational data store. Therefore, the key tool for business trade lies in real-time enterprise DW enabled with Business Intelligence. This study provides an overview of ETL process and its evolution towards real-time ETL. This chapter will represent the real-time ETL characteristics, its technical challenges, and some popular real-time ETL implementation methods. Finally, some future directions towards real-time ETL technology are explored.

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