In today’s fast-paced tech environment, data and IT professionals are increasingly investing in continuous learning to future-proof their careers. Why? According to the World Economic Forum, we are in the midst of a “reskilling revolution,” with technology expected to radically transform 1.1 billion jobs in the next decade. A recent IBM survey estimated that 40% of the workforce will […]
The Importance of Continuing Education in Data and Tech
Continuous upskilling ensures that individuals are equipped with the latest knowledge and technical skills needed to handle their jobs in data management fields. Employers increasingly seek candidates who not only possess foundational knowledge but also demonstrate the capacity to adapt and grow with emerging industry trends. Moreover, skills that enhance data security, data management, and the ethical […]
Should You Get Certified as a Data Professional?
In today’s data-driven workplace, data professionals face a constant challenge: validating their expertise while maintaining day-to-day responsibilities. One solution increasingly lies in attaining professional certification, a formalized training framework that provides practical experience. Some industry professionals may believe that learning on the job and a track record of successful projects provide equivalent evidence of expertise […]
AI and Machine Learning Trends in 2025
Most of the 2025 artificial intelligence (AI) and machine learning (ML) trends will be spin-offs from general technology enhancements around AI and ML. Ethical AI practices are gaining prominence, with a growing consensus on the necessity to address potential biases and ensure fairness. Regulatory bodies are increasingly enacting policies that mandate ethical AI development, while […]
Data Modeling Concepts for Beginners
Christopher Bradley, information strategist at DMA Advisors, says the “main purpose of a data model is actually not to design a database – it’s to describe a business.” However, many professionals lack a solid grasp of the data modeling concepts needed to effectively represent their business operations. This knowledge gap comes at a steep cost. A recent […]
Cloud Computing Trends in 2025
Quantum cloud computing is poised to revolutionize speed and efficiency in the digital landscape in 2025, offering breakthroughs that could redefine how we approach computation. Unlike classical computers, which process data in binary bits, quantum computers use qubits, allowing them to handle vast amounts of data simultaneously. This capability leads to exponential increases in processing […]
Data Management Trends in 2025: A Foundation for Efficiency
In 2025, organizations face a pivotal moment in data management evolution. While core principles endure, their implementation is undergoing a radical transformation. Data management – the comprehensive collection of practices governing data – must now balance unprecedented opportunity with mounting risk. The potential impact is massive. The data and analytics market could reach $17.7 trillion, with an additional $2.6 to […]
Women in Data: Meet Subasini Periyakaruppan
The latest installment in our Q&A series with female leaders in data features Subasini Periyakaruppan, the senior director of data and analytics at UNICEF USA. (Read our previous Q&A here.) Subasini Periyakaruppan has spent the past 15-plus years spearheading innovative data and technology initiatives for data-driven companies. She currently serves as the senior director of data and […]
Data Observability 101
Understanding data health involves monitoring and analyzing diverse aspects of data systems – referred to as data observability – to ensure optimal performance and reliability. Metrics are crucial, providing quantitative insights into data flow, processing times, and system resource utilization. They also help identify patterns and detect anomalies in real time. Logs offer a historical record of […]
Data Architecture Trends in 2025
A modern data architecture is required to support the data-driven organization that every enterprise wants to be. Without a solid data architecture – composed of the models, policies, rules, and standards you set for how data is collected, stored, managed, and used – your ability to attain a holistic view of your business, make informed […]