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Sep 28 DAS Webinar: Best Practices in Metadata Management

DATE: September 28, 2023 TIME: 2 PM Eastern / 11 AM Pacific PRICE: Free to all attendees About the Webinar Metadata is hotter than ever, according to a number of recent DATAVERSITY surveys. More and more organizations are realizing that in order to drive business value from data, robust metadata…

Latest Blogs by Industry Experts

Five Trends Shaping Enterprise Data Labeling for LLM Development

Read more about author Matthew McMullen. In an era where large language models (LLMs) are redefining AI digital interactions, the criticality of accurate, high-quality, and pertinent data labeling emerges as paramount. That means data labelers and the vendors overseeing them must seamlessly blend data quality with human expertise and ethical work practices. Crafting data repositories for LLMs requires diverse and domain-specific expertise. As such, this is an opportunity for data…

Empowering Power BI with the Semantic Layer

Read more about author David Mariani. Today’s organizations widely acknowledge the significance of leveraging data and analytics. Virtually every executive envisions establishing a data-driven organization. However, a survey conducted by New Vantage Partners reveals that only a mere 26.5% of companies have effectively achieved this transformative goal. Part of the problem lies in the ineffective collaboration between business and technology teams.  In the realm of data and analytics, there are two foundational…

CCPA vs. GDPR: Differences and Similarities for Data Protection

Read more about author Anastasios Arampatzis. The California Consumer Privacy Act (CCPA) and the General Data Protection Regulation (GDPR) were created to empower individuals with greater control over their personal information. Both laws regulate the activities of organizations that collect and use data in various ways. Data protection plays an essential role in ensuring compliance with both privacy regulations. CCPA vs. GDPR at a glance The CCPA and GDPR are…

What Is Metaflow? Quick Tutorial and Overview

Read more about Gilad David Maayan. As data science continues to evolve, new tools and technologies are being developed to help individuals and organizations streamline their workflows, improve efficiency, and drive better results. One of the most powerful and innovative tools in this space is Metaflow, a Python library that makes it easy to build and manage data science workflows. In this comprehensive guide, we’ll explain how Metaflow works to…

Recent Articles

The Growing Importance of AI Governance

New technologies often engender fear and foreboding among people outside tech industries. The latest example of this trend is artificial intelligence (AI), which is a topic of much concern and misunderstanding…

Data Engineer vs. Data Analyst

In today’s data-driven world, two data professional roles that play crucial roles are data engineers and data analysts. Both these professionals aid the process of extracting data-driven insights, but they…

How to Become a Database Administrator

A database administrator, also known as a DBA, is responsible for gathering, storing, organizing, and processing data. This job is routinely ranked as one of the 10 best technology jobs…

Large Language Models: The New Era of AI and NLP

Artificial intelligence (AI) has witnessed remarkable progress in recent years, with one of its most notable achievements being the development of large language models (LLMs). These models have revolutionized the field of…

What is...?

What Is a Data Catalog?

A data catalog centralizes access to all of an organization’s available data assets through…

What Is Data Management?

Data Management is a comprehensive collection of practices, concepts, and processes dedicated to leveraging…

What Is Data Strategy?

Data Strategy describes a “set of choices and decisions that together, chart a high-level…