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Upcoming Webinars

Jun 7 Webinar: Rethinking Trust in Data

DATE: June 7, 2022 TIME: 2 PM Eastern / 11 AM Pacific PRICE: Free to all attendees This webinar is sponsored by: About the Webinar The explosive growth of data and the value it creates calls on data professionals to level up their programs to build, demonstrate, and maintain trust.…

Jun 9 ADV Webinar: Is Our Information Management Mature?  

DATE: June 9, 2022 TIME: 2 PM Eastern / 11 AM Pacific PRICE: Free to all attendees This webinar is sponsored by: About the Webinar Maturity frameworks have varying levels of information management maturity. Each level corresponds to not only increased data maturity, but also increased organizational maturity and bottom-line…

Latest Blogs by Industry Experts

The Rise of the Semantic Layer

Read more about author David Mariani. Cloud giants like Google and Snowflake, unicorns like dbt Labs, and a host of venture-backed startups are now talking about a critical new layer in the data and analytics stack. Some call it a “metrics layer,” or a “metrics hub” or “headless BI,” but most call it a “semantic layer.” I prefer to call it a “semantic layer” because it best describes a business-friendly interface to data that serves a variety of use cases and user…

A Data Recovery Secret That’s (Really) Ransomware-Proof

Read more about author JG Heithcock. Cyber resilience is a top concern for businesses in every industry. A key reason for this is that businesses of all sizes continue to face an ever-increasing array of cyber threats including ransomware, malware, and spear phishing.  Ransomware is a particularly pernicious problem and a huge threat to organizations worldwide. According to Cybercrime Magazine, the collective cost globally of damage done by ransomware was approximately $20…

How to Leverage Machine Learning to Identify Data Errors in a Data Lake

Read more about author Angsuman Dutta. A data lake becomes a data swamp in the absence of comprehensive data quality validation and does not offer a clear link to value creation. Organizations are rapidly adopting the cloud data lake as the data lake of choice, and the need for validating data in real time has become critical. Accurate, consistent, and reliable data fuels algorithms, operational processes, and effective decision-making. Existing…

Logistics, Data, and AI: Key Learnings from the Pandemic

Read more about Jaimie Kowalski. The supply chain business is evolving incredibly rapidly – particularly when it comes to how it uses technology. And with this in mind, earlier this year, we commissioned an in-depth report on how the pandemic impacted the freight procurement industry, by speaking with hundreds of shippers with $100 million-plus in annual freight spend. Almost all respondents, 97% or greater, said they plan to increase their…

Recent Articles

Advances in Data Warehouses

Data warehouses have advanced in the past few years, adding multiple enhancements and new capabilities. A data warehouse stores business data from a variety of applications and databases. It acts…

Fundamentals of Digital Twins

Digital twins can present a virtual replica of physical components, processes, or systems to enable improved understanding of the performance characteristics of such entities. With digital twins, industry operators can…

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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