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ETL Automation Best Practices

In data management, ETL processes help transform raw data into meaningful insights. As organizations scale, manual ETL processes become inefficient and error-prone, making ETL automation not just a convenience but a necessity. Here, we explore best practices for ETL automation to ensure efficiency, accuracy, and scalability. We also mention some of the best ETL tools […]

Future-Proofing Your Data Strategy: A Deep Dive into Data Engineering Trends

Businesses today rely heavily on data and strive to harness its full potential while navigating a constantly changing landscape. The secret is to combine smart analytics with a strong data engineering strategy. As we continue into 2024, data engineering trends and insights will continue to be critical for businesses hoping to prosper in this cutthroat industry. Future-proofing […]

What Is Data Trust and Why Does It Matter?

A batch processing system fails on the eve of a company’s deadline for monthly reports, threatening the accuracy of its financials. One of the two systems powering the dashboard of a global supply chain company crashes, and a manager overbooks a transport ship because it displays inaccurate data, causing a costly delay in a customer’s […]

Data Ethics: New Frontiers in Data Governance

Would you feel comfortable serving as a Data Governance consultant for an organized crime family … but not for a brokerage with tax fraud in its past? Could the use of ransomware be considered socially acceptable if its demands benefitted needy children? These hypotheticals might sound outrageous – indeed, they are meant to be provocative – but […]

Data Privacy Compliance Is an Opportunity, Not a Burden

The consumer privacy landscape is constantly evolving. Potential regulations like the American Data Privacy and Protection Act (ADPPA), which resemble current laws set forth by the General Data Protection Regulation (GDPR), are keeping marketers on their toes. Meanwhile, other major trends dictating how and when marketers interface with consumer data are on the horizon (such […]

Combining Data Mesh and Data Fabric

Data silos represent a major business challenge, as noted by 60.9% of organizations in a recent Trends in Data Management survey. Without shared information, companies risk duplication, poor data quality, and missed opportunities for innovation. Consequently, many companies turn to modern and integrated data architectures. When doing so, organizations often consider two main approaches: data mesh and data fabric. Data […]

Data Synchronization: Definition, Tips, Myths, and Best Practices

Businesses rely on accurate, synchronized information to make informed decisions. Because discordant data leads to operational inefficiencies, missed opportunities, and costly mistakes. Hence, a unified, reliable source of truth is key, which is possible through data synchronization. It helps maintain consistency across disparate systems, enhancing data reliability and improving decision-making. So, to get started with […]