Data Engineering

With the turn of the century, the total volume of data and the speed at which it has been rising, show a consistent upward trend. In such a case, it becomes imperatively essential for organizations to efficiently tackle big data and its associated issues. One thing that comes as a rescue in these scenarios is the efficient adoption of a...

Data warehousing is a process through which you can collect and manage your data from multiple sources. The data collected can serve as a source to capture meaningful business insights. The data management system of data warehousing is designed in such a way that it enables and supports activities related to business intelligence, specifically analytics. Data within a data warehouse...

ETL is Extract, Transform and Load. It is basically a process that ‘extracts’ the data from numerous sources, then ‘transforms’ them by applying calculations, concatenations etc. and lastly ‘loads’ the data into Data Warehouse system. It may seem to you like a simple process wherein data warehouse creating is just all about extraction, transforming and loading. However, the process, in reality,...

Introduction Today, we are surrounded by data everywhere. Data has become easily accessible. So, the challenge that arises out of it is how to make the most of the available data! The first step towards using such vast amounts of data is finding the right data integration tool that could help you to study, analyse and manage dynamically different data from...

Introduction All product companies globally are moving towards digitization. The fundamental purpose for product companies to move into digital is to deliver innovative, customer focused solutions to meet the end business purpose. In order to be globally competitive, it is important for businesses to develop and deliver innovative, customer-focused products and services. What's important here is that this needs to be...