2024 DATAVERSITY Top 20

As we approach the end of another year, we here at DATAVERSITY have been busy analyzing our data and answering the big questions: What was the most popular content on our website and training center over the past 12 months? Which data management topics did you – our readers and students – seek out again…

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AI’s New Superpower: Riding the Wave of Real-Time Data

Imagine a world where AI doesn’t just predict the future – it lives in it. A world where machine learning models aren’t stuck reminiscing about last year’s data, but are instead surfing the cutting edge of now. This isn’t science fiction; it’s the new frontier of artificial intelligence, and it’s being shaped by an unlikely…

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Jan 9 AArch Webinar: 2025 Trends in Analytics Architecture

DATE: January 9, 2025 TIME: 2:00 PM – 3:00 PM Eastern / 11:00 AM – 12:00 PM Pacific PRICE: Free to all attendees About the Webinar As we enter 2025, the landscape of data and analytics architecture is undergoing a profound transformation, driven by technological innovation, artificial intelligence, and the increasing complexity of enterprise data ecosystems. This…

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The Hidden Language of Data: How Linguistic Analysis Is Transforming Data Interpretation

From Fortune 500 companies to local startups, everyone’s swimming in a sea of numbers, charts, and graphs. But here’s the thing: While structured data like sales figures and customer demographics have long been the backbone of analytics, there’s a growing realization that unstructured data is the real goldmine. Think about it. Every tweet, email, customer review, and social…

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Data Product vs. Data as a Product (DaaP): Understanding the Difference

Data quality (DQ), which ensures that data is fit for business and consumer needs, remains a significant challenge and is growing more complex. According to a dbt Labs 2024 report, 57% of survey respondents identified data quality as a challenging aspect to data preparation, up from 41% in 2022.  To address these data quality challenges, companies increasingly…

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What Is a Data Fabric?

Data fabric is an innovative approach to data architecture, and simplifies data management. At its core, data fabric is built on the principle of unification. This standardization serves two purposes: It creates a single-entry point for data consumers, and it enables seamless access to information, regardless of where that data is stored, computed, or administered. These outcomes happen through data…

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Mind the Gap: Start Modernizing Analytics by Reorienting Your Enterprise Analytics Team

… and your data warehouse / data lake / data lakehouse. A few months ago, I talked about how nearly all of our analytics architectures are stuck in the 1990s. Maybe an executive at your company read that article, and now you have a mandate to “modernize analytics.” Let’s say that they even understand that just…

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AAA Webinar: AI and Data Management

Download the slides here>> About the Webinar In this webinar, we will dive deep into the unique challenges of managing the quality, security, and transparency of AI applications. We will also discuss how to use the power of AI to up-level your current data management practices. About the Speaker Nick White CEO and Founder, Data…

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Foundations of Forensic Data Analysis

Forensic data analysis involves collecting, modeling, and transforming data to identify and highlight potential risk areas, detect non-standard or fraudulent activities that use data, and set up internal controls and processes to minimize a variety of risks. Data forensics can also be used in instances involving the tracking of phone calls, texts, or emails traveling…

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Traditional Data Engineering Best Practices Aren’t Cutting It Anymore

I have been in data (in the fuzziest sense of the word) since about 2009, whether that means data engineering, management, analysis, strategy, or visualization. Over that time, things have changed drastically. In my first “real” data position, I was asked to identify and organize fallout from a claim auto adjudication engine to identify ways to…

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