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The insideBIGDATA IMPACT 50 List for Q2 2022

This special technology guide from Dell Technologies and AMD will take a closer look at some of the biggest disruptors affecting energy companies, and also examine how big data analytics can help these firms reduce risk, drive down costs, and improve efficiency. The energy industry has always faced large price swings as a result of changes in the global economy. But today, this entire sector is facing an unprecedented level of disruption. Industry analysts say it is in the throes of a dramatic upheaval that is requiring companies in this industry to reinvent themselves.

Big Data Industry Predictions for 2022

Welcome to insideBIGDATA’s annual technology predictions round-up! The big data industry has significant inertia moving into 2022. In order to give our valued readers a pulse on important new trends leading into next year, we here at insideBIGDATA heard from all our friends across the vendor ecosystem to get their insights, reflections and predictions for what may be coming. We were very encouraged to hear such exciting perspectives. Even if only half actually come true, Big Data in the next year is destined to be quite an

The Amazing Applications of Graph Neural Networks

In this contributed article, editorial consultant Jelani Harper points out that a generous portion of enterprise data is Euclidian and readily vectorized. However, there’s a wealth of non-Euclidian, multidimensionality data serving as the catalyst for astounding machine learning use cases.

Infographic: The Rise of No-Code Development Platforms

Our friends over at Saas Platform company in Ireland called TeamKonnect have developed new infographic called “The Rise of No-Code Development Platforms” which is provided below. This infographic is a 101 guide to No-Code Development Platforms. Rising in popularity in the last decade, these platforms offer an exciting opportunity for businesses and organizations to develop apps that meet their needs without the engagement of software engineers.

What is the Difference Between Business Intelligence, Data Warehousing and Data Analytics

In this contributed article, Christopher Rafter, President and COO at Inzata,, writes that in the age of Big Data, you’ll hear a lot of terms tossed around. Three of the most commonly used are “business intelligence,” “data warehousing” and “data analytics.” You may wonder, however, what distinguishes these three concepts from each other so let’s take a look.

The Difference Between Data Science and Data Analytics

In this contributed article, tech writer Rick Delgado, examines the differences between the terms: data science and data analytics, where people working in the tech field or other related industries probably hear these terms all the time, often interchangeably. Although they may sound similar, the terms are often quite different and have differing implications for business.