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Upcoming Webinars

Apr 13 DataEd Webinar: Data Management + Data Strategy = Interoperability

DATE: April 13, 2021 TIME: 2 PM Eastern / 11 AM Pacific PRICE: Free to all attendees About the Webinar Few organizations operate without having to exchange data. (Many do it professionally and well!) The larger the data exchange burden (DEB), the greater the organizational overhead incurred. This death by…

Apr 14 Demo Day - Enterprise Data Management Tools

DATE: April 14, 2021 TIME: 11 AM – 4 PM Eastern / 8 AM – 1 PM Pacific PRICE: Free to all attendees Welcome to DATAVERSITY’s next installment of 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…

Latest Blogs by Industry Experts

Why Open Source Matters in Cloud DevOps

Click to learn more about author Nati Shalom. From its origin in the free software movement, open-source software has grown in popularity and adoption across industries worldwide. Open-source Linux now runs the majority of the world’s server workloads, Kubernetes (and Docker) adoption is growing exponentially and pushing the container and cloud-native revolutions, and on the storage front, much of the innovation in big/fast data was delivered by open-source projects such…

Building a Time Series Analysis Application

Click to learn more about author Maarit Widmann. A complete time series analysis application covers the steps in a Data Science cycle from accessing to transforming, modeling, evaluating, and deploying time series data. However, for time series data the specific tasks in these steps differ in comparison to cross-sectional data. For example, cross sectional data are collected as a snapshot of one object at one point of time, whereas time series…

Data Cleansing: Why It’s Important

Click to learn more about author Avee Mittal. Data cleansing is an important step to prepare data for analysis. It is a process of preparing data to meet the quality criteria such as validity, uniformity, accuracy, consistency, and completeness. Data cleansing removes unwanted, duplicate, and incorrect data from datasets, thus helping the analyst to develop accurate insight. Organizations today are sitting on a pile of data. Most of them use…

Important Features of Top Business Intelligence Tools

Click to learn more about author Piyush Goel. What is a BI tool? Which BI tool is best for your organization? Which criteria should be kept in mind while comparing the different BI tools? Business intelligence (BI) tools transform the unprocessed data into meaningful and actionable insight. BI tools analyze the data and convert them into a presentable and analytical data set in the form of reports, dashboards, etc. By…

Recent Articles

Citizen Data Scientists: Where Do They Belong?

The phenomenal growth of data technology in recent years has led to the rise of the citizen data scientists (CDS).   Developments in augmented analytics and artificial intelligence (AI) automation have…

ETL vs. Data Preparation

Extract, Transform, and Load (ETL) technologies, managed exclusively by IT, have until recently been the primary tool used to combine data from multiple sources and thus provide the ability to…

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 Descriptive Analytics?

Descriptive analytics, or business intelligence, uses historical information to answer the question “What Happened?” Think of…

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