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Data Warehouse vs. Data Lakehouse

The phrase “data warehouse vs. data lakehouse” offers an exciting topic for ongoing debate in the global data management world. While businesses have relied on traditional data warehouses for storing structured and semi-structured data for years, the more recent technological solution of the data lakehouse is growing in importance because of its unique ability to provide structure to raw data.  […]

Machine Learning Engineer vs. Data Scientist

After years of hype and promise, artificial intelligence (AI) has finally arrived. Organizations of all types and sizes are racing to integrate AI into their business processes to make their operations more powerful, more efficient, and more profitable. A data scientist and machine learning engineer are two of the most exciting and cutting-edge professions in technology. While both […]

AArch Webinar: Promising AI Use Cases for the Enterprise in 2025

Download the slides here >> This webinar is sponsored by: About the Webinar As artificial intelligence continues to mature, enterprises are discovering transformative applications that extend far beyond traditional use cases. This forward-looking webinar will examine the most promising AI implementations across industries, from predictive maintenance and personalized customer experiences to advanced risk management and […]

The Importance of Women in Data Management

Despite the increasing participation of women in data management (DM) roles, women still confront gender-related challenges throughout their careers. One significant challenge is the persistent gender bias prevalent within the industry. According to the study USA Diversity in Data Report 2022-2023, only 26% of DM and analytics positions are held by women. Women often face stereotypes […]

Webinar: Guardrails to Go Faster: How Pipeline Governance Unlocks Data Access for Analysts

Download the slides here >> This webinar is sponsored by: About the Webinar Modernizing data platforms and breaking down data silos with Databricks is key to delivering the clean, high-quality data AI and analytics need. But what about self-service? Traditional data preparation tools introduce cost, quality, and security risks that end up making it more difficult […]

Data Integrity: What It Is and Why It Matters

The term “garbage in, garbage out,” or GIGO, dates back to the earliest days of commercial computing in the mid-20th century. Yet the concept was present more than 100 years earlier at the very dawn of computing. When Charles Babbage first described his difference engine, a member of Parliament asked him whether the machine could generate […]