The rapid growth of digital data has led to a significant environmental impact that cannot be overlooked. Understanding the need for a greener digital landscape and sustainable data management is crucial to mitigate this impact and ensure an eco-friendly future. Data management, including storage, processing, and transmission, requires vast amounts of energy. Additionally, the manufacturing […]
In-Memory Databases: An Overview
In-memory databases work faster than databases with disk storage. This is because they use “internal” optimization algorithms, which are simpler and faster, and this type of system requires fewer CPU instructions than a disk storage system. Additionally, accessing data that has been stored “in-memory” eliminates the need for seek time while searching for data. As […]
Data Integration Tools
Data integration tools are used to collect data from external (and internal) sources, and to reformat, cleanse, and organize the collected data. The ultimate goal of data integration tools is to combine data from a variety of different sources, and provide their users with a single, standardized flow of data. Use of these tools helps […]
Metadata Governance: Crucial to Managing IoT
The Internet of Things (IoT), devices that produce and consume data through the internet, will likely comprise over 207 billion devices by the end of 2024. These widgets generate, consume, and send vast data over business networks. As a result, organizations must include IoT in their Data Governance programs to ensure better integration and legal compliance. Without effective governance, firms […]
How to Become a Data Engineer
The work of data engineers is extremely technical. They are responsible for designing and maintaining the architecture of data systems, which incorporates concepts ranging from analytic infrastructures to data warehouses. A data engineer needs to have a solid understanding of commonly used scripting languages and is expected to support the steady evolution of improved Data Quality, […]
A Brief History of Generative AI
Generative AI has a fairly short history, with the technology being initially introduced during the 1960s, in the form of chatbots. It is a form of artificial intelligence that can currently produce high-quality text, images, videos, audio, and synthetic data in seconds. However, it wasn’t until 2014, when the concept of the generative adversarial network […]
Data Education Month 2024: Join the Celebration!
Happy Data Education Month! Every March, we here at DATAVERSITY celebrate all things data and the people who work with it every day. We’ve got loads of free educational resources to help you build your skills, brush up on data trends, and future-proof your career – as well as our biggest discounts of the year […]
The Impact of Data Silos (and How to Prevent Them)
Data silos often develop unintentionally within businesses, catching leaders by surprise. They hinder cross-departmental collaboration while giving rise to inconsistent data quality, communication gaps, reduced visibility, and increased expenses. The gravity of impact can be gauged from a report by Forrester research, which finds that knowledge workers spend an average of 12 hours a week “chasing data.” […]
Common Master Data Management (MDM) Pitfalls
Leaders need to trust data within the organization to make sound business decisions. So, many turn to master data management (MDM), a solution to get and keep uniform and accurate data that increases business value. Yet, according to Gartner, 75% of all MDM programs across organizations fail to meet business objectives. Moreover, this trend has worsened since 2015, […]
Business Intelligence and Analytics Trends in 2024
As organizations continue to generate massive amounts of data from various sources, the need for effective data analytics and business intelligence (BI) solutions has never been more pressing. Here are some general trends for data analytics and BI: Use of Advanced Algorithms in Data Analysis Advancements in machine learning (ML) and artificial intelligence (AI) are […]