Author: Irfan Ahmednida-fatima

The data ecosystem of an enterprise comprises a variety of applications. Over time, a business may migrate from an existing database to save costs, enhance reliability, achieve scalability, or any other objective. This process of moving data from one place […]

Implementation of a new system is exciting, up until the data migration process experiences unexpected hiccups despite impeccable planning. Losing or doubting the accuracy of the data you’ve spent years collecting and organizing would certainly dampen that excitement, to say […]

A successful data management and BI strategy must answer some key questions, such as: Where does the required information exist? How can data from disparate systems be integrated to create a unified view? How to transform ETL big data into […]

One of the most prevalent debates in the data industry is that of ETL vs ELT. ETL stands for Extract, Transform, and Load. It’s been a conventional process to manage ETL pipelines for years. However, the increasing popularity of modern […]

The world of data management has been evolving rapidly; the industry is now almost unrecognizable from what it was half a decade ago. If we take a glimpse in a not-so-distant past, very few people had the answer to “what […]

Issues in combining data from multiple disparate sources have always remained; hence scientists at the University of Minnesota designed the first data integration system in 1991. This data integration technique used the ETL approach that extracts, transforms, and loads data […]

Whether your next objective as a CTO is to migrate your enterprise data to the cloud or launch a full-scale data warehousing operation, creating an integration model will definitely speed things up for you. Ultimately determining how the data stored […]

Over the past few years, several characteristics of the ETL pipelines have gone through gigantic alterations. Due to the emergence of novel technologies such as machine learning, the data management processes of enterprises are continuously progressing. The amount of accessible […]

Professionals across multiple industries, working in the technology sector and elsewhere, have either an incorrect or vague idea of API. This blog will explain what does API mean, clear some of the most common misconceptions about APIs and further delve […]

For a moment, imagine that you are an IT administrator at a large enterprise with a highly complex infrastructure, and you are responsible for ensuring uninterrupted service delivery to your internal and external customers. Suddenly, one of the services goes down and complaints start […]

In a strange stroke of luck, you become the owner of a gold mine. The gold is yours to take, but instead of extracting it and reaping profits out of it, you just sit on it, happy to be its […]

A database is a collection of data stored in an orderly manner. To run a system efficiently, you’d need an effective memory of the past and present records that went into and/or came out of that particular system. The same […]

Unpredictable and intermittent problems are the bane of creating and debugging complex data mappings. It can feel like finding a needle in a haystack, particularly when dealing with hierarchical data formats, such as JSON, XML, and EDI files. Exacerbating things […]

In this article, we’ll begin by sharing the data warehouse definition with examples and then explain its key benefits for businesses. Business Intelligence (BI) may not tell you what to do about your business or what will happen if you […]

For the past few decades, the data warehouse architecture has been the pillar of corporate data ecosystems. And despite numerous alterations over the last five years in the arena of Big Data, cloud computing, predictive analysis, and information technologies, data […]