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Upcoming Webinars

Oct 4 Webinar: Data Governance Takes a Village (So Why is Everyone Hiding?)

DATE: October 4, 2022 TIME: 2 PM Eastern / 11 AM Pacific PRICE: Free to all attendees This webinar is sponsored by: About the Webinar Data governance represents both an obstacle and opportunity for enterprises everywhere. And many individuals may hesitate to embrace the change. Yet if led well, a…

Oct 5 DATAVERSITY Demo Day - Enterprise Data Management Tools

DATE: October 5, 2022 TIME: 8:00 AM – 12:45 PM Pacific / 11:00 AM – 3:45 PM Eastern PRICE: Free to all attendees Welcome to DATAVERSITY Demo Day, an online exhibit hall. We’ve had many requests from our data-driven community for a vendor-driven online event that gives you an opportunity…

Latest Blogs by Industry Experts

Four Questions to Ask Before Choosing a Cloud Data Security Tool

Read more about author Amit Shaked. The cloud was the driving force behind much of the digital transformation sparked by COVID-19. Public cloud applications and services allowed enterprises to support employees as they shifted to a fully remote workforce, and now many major components of day-to-day business are on the cloud. In fact, the cloud market is projected to amount to $832.1 billion by 2025. Enterprises should take advantage of all that…

An Introduction to Reinforcement Learning

Read more about author Corey Weisinger. In this blog post, I'd like to introduce some basic concepts of reinforcement learning, some important terminology, and a simple use case where I create a game playing AI in my company’s analytics platform. After reading this, I hope you’ll have a better understanding of the usefulness of reinforcement learning, as well as some key vocabulary to facilitate learning more. Reinforcement Learning and How…

The Rise of Data-Centric AI

Read more about author David Willingham. Data-centric AI is gaining momentum among engineers. While traditionally, a model-centric approach has been used to improve accuracy for a variety of applications, the increase of data available today and the benefits of using reliable data are leading engineers to reevaluate their priorities and workflows. With a model’s performance so dependent on the quality of the data it is being trained with, this data…

The Data Engineer’s Roadmap

Read more about author Valentina Synenka. Data engineering is a fascinating and fulfilling career – you are at the helm of every business operation that requires data, and as long as users generate data, businesses will always need data engineers. In other words, job security is guaranteed.  But, with such great power comes great responsibility. The journey to becoming a successful data engineer features tricky terrain that you need to navigate and…

Recent Articles

Machine Learning Tools

Machine learning tools allow computers to become more accurate in predicting outcomes. The computer’s software makes decisions based on experiences rather than programming. The algorithm (basically a series of instructions)…

Data Fabric Architecture 101

Today’s global organizations have data deployed both on-premises and across many cloud environments. In such a scenario, the biggest challenge is to find a single Data Management solution to enable…

How to Become a Data Security Analyst

A data security analyst, also known as an information security analyst, is responsible for monitoring and analyzing network activity to identify potential threats or risks. Data security analysts primarily analyze…

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 Modeling?

Data models document Data Architecture, aligning core business rules with data definitions. In addition,…

What Is Data Strategy?

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

What Is Data Governance?

Data Governance is a collection of components – data, roles, processes, communications, metrics, and…

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