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Upcoming Webinars
DATE: December 1, 2020 TIME: 2 PM Eastern / 11 AM Pacific PRICE: Free to all attendees This webinar is sponsored by: About the Webinar Graph databases are seeing a spike in popularity as their value in leveraging large data sets for key areas such as fraud detection, marketing, and…
DATE: December 2, 2020 TIME: 8:00 AM - 11:45 AM Pacific / 11:00 AM - 2:45 PM Eastern PRICE: Free to all attendees Welcome to DATAVERSITY’s newest education opportunity, Demo Day, an online exhibit hall. We’ve had many requests from our data-driven community for a vendor-driven online event that gives…
DATE: December 8, 2020 TIME: 2 PM Eastern / 11 AM Pacific PRICE: Free to all attendees About the Webinar The difficulty of implementing a new data strategy often goes under-appreciated, particularly the multi-faceted procedural challenges that need to be met while doing so. Deficiencies in organizational readiness and core…
Featured Online Training
Business Glossaries, Data Dictionaries, and Data Catalogs Learning Plan
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DMBoK and CDMP Preparation Learning Plan
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Data Architecture Fundamentals Learning Plan
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Latest Blogs by Industry Experts
Guided Labeling Episode 7: Weak Supervision Deployed via Guided AnalyticsClick to learn more about author Paolo Tamagnini. Welcome to the seventh episode of our Guided Labeling Blog Series. In the last six episodes, we have covered active learning and weak supervision theory. Today, we would like to present a practical example of implementing weak supervision via guided analytics based on a Workflow. The other episodes are here: Guided Labeling Episode 1: An Introduction to Active LearningGuided Labeling Episode 2:…
Data Opportunity Is Knocking! Should You Answer?Click to learn more about author Kartik Patel. As business people, we are often presented with what might seem like a great opportunity. Maybe we have a chance to open another location or to buy out a competitor or to add a product or service to our existing portfolio, or to acquire more customers, resources, material, or equipment. At the outset, that data opportunity can sparkle in the sun like a…
A Beginner’s Guide to Using SQL in Data ScienceClick to learn more about author Ashok Sharma. With the increasing hype of trends like AI and digital transformation, companies have become data-driven. They have started relying on data and analytics instead of gut feelings, and Data Science has emerged as a lucrative profession. There are 2.72 million job openings for data scientists at present, and this demand will only go higher. If you also want to make a career in…
Case Studies
Case Study: Cornell University Automates Data Warehouse InfrastructureCornell University is a privately endowed research university founded in 1865. Ranked in the top one percent of universities in the world, Cornell is made up of 14 colleges and…
Case Study: Polaris Puts Data Analysis in the Service of Defeating Human TraffickingHuman trafficking is believed to be the third-largest criminal activity in the world, according to the FBI. The Department of Homeland Security advises that industries around the world including agriculture,…
Case Study: UMass Memorial Health Care Migrates onto New Storage InfrastructureClick to learn more about author Michael Jack. Background UMass Memorial Health Care is the largest healthcare system in Central Massachusetts. It is the clinical partner of UMass Medical School,…
What is...?
What Is Augmented Analytics?Augmented analytics combines sophisticated machine learning (ML) and natural language processing (NLP) to enable…
What Is Analytics?Analytics, is described as: “[An] encompassing and multidimensional field that uses mathematics, statistics, predictive…
What Is Business Intelligence?Business Intelligence (BI) includes the technologies and tools used to analyze and report on…
What Is Descriptive Analytics?Descriptive analytics, or business intelligence, uses historical information to answer the question “What Happened?” Think of…
What Is Predictive Analytics?Predictive analytics defines outcomes through models to answer the question “What will likely happen?”…
What Is Prescriptive Analytics?Prescriptive analytics uses outcomes and scenarios to answer the question “What should we do…
Most Recent Articles
A Brief History of Data ManagementData Management is the organization of data, the steps used to achieve efficiency, and gather intelligence from that data. Data Management, as a concept, began in the 1960s, with ADAPSO (the Association of Data Processing Service Organizations) forwarding Data Management advice, with an emphasis on professional training and quality assurance metrics. Data Management should not be confused with Data Governance, nor with Database Management. Data Governance is a set of…
Advances in Master Data ManagementThe purpose of a Master Data Management program is to organize an organizations most important data assets, allowing them to be used efficiently and creatively. The choice of organizational styles determines how the data performs during an analysis, when building new relationships, and while making decisions that increase profits. There are key factors that should be taken into account when researching effective Master Data Management (MDM) strategies for 2020 and…
The Importance of Graph Databases in Business AnalyticsAugmented analytics is one of the top 10 technologies Gartner identified with the potential to cause significant digital disruption in the next three to five years. The hallmark of augmented analytics is its high reliance on AI and ML technologies. AI and ML together will transform enterprise Data Management in the coming years, and many emerging technologies like the multi-cloud, edge, serverless, IoT, and big data will collaboratively contribute to…
Managing Metadata: An Examination of Successful Approaches“If Google can deliver results across the entire internet in seconds, why do I have so much trouble finding things in my organization?” asked Jonathan Adams, Research Director at Infogix, at the DATAVERSITY® DGVision Conference. In a presentation titled, “I Never Metadata I did Not Like” Adams outlined successful approaches to understanding and managing metadata What is Metadata? According to the DAMA International Data Management Body of Knowledge (DAMA-DMBoK2), the…
Serverless Computing Use CasesThe uniqueness of serverless computing is its ability to survive without the presence of physical machines and systems software. In the serverless computing world, the client subscribes to a set of services including special “APIs and web services” that software developers can use to quickly build useful and scalable architectures for on-demand computing services. Serverless can be considered Function-as-a-Service (FaaS), but the term “serverless” is more inclusive, indicating a broader…
Data Management vs. Data ScienceThe shift in the business perception of data has now catapulted Data Management into new heights. Data Science is a core component of Data Management now, but Data Management and Data Science are often seen as two different activities. Working among data analysts, data engineers, and DBAs, data scientists spend their time getting the data infrastructure right for data analysis and competitive intelligence. But, in the growing next-generation data market,…
Latest Industry News
Infogix and MANTA Team Up on a Universal Data Governance SolutionDATE: February 6, 2019, This webinar has passed. The recording will be made available
Fluree Launches JavaScript LibraryDATE: February 6, 2019, This webinar has passed. The recording will be made available
KIOXIA Adds Thin Provisioning to KumoScale Software SuiteDATE: February 6, 2019, This webinar has passed. The recording will be made available
Splunk Extends the Power of the Data-to-Everything PlatformDATE: February 6, 2019, This webinar has passed. The recording will be made available
Nutanix Expands Integration with ServiceNowDATE: February 6, 2019, This webinar has passed. The recording will be made available
cloudtamer.io Unveils Continuous Compliance in the CloudDATE: February 6, 2019, This webinar has passed. The recording will be made available