Data Science and Analytics Glossary of Terms If you've ever heard someone use the terms "data science" or "data analytics," you may have been confused. Data science and analytics are two different fields, each with its own set of terms. It's important to learn the language of both field...
Terms Algorithms Learn about the basics of algorithms - what they are, how they work, and how they're used in software development. This article provides an introduction to this fundamental concept in computer science. Analytics Use Cases Learn about analytics use cases with Graphext's glossary....
track data assets across the enterprise based on metadata and business context. Doing so accelerates time to value and makes it easy to find fit-for-use data. Data discovery, collaboration, and internal processes can be enhanced with user-defined annotations, tags, and business glossary terms. ...
Data discovery, collaboration, and internal processes can be enhanced with user-defined annotations, tags, and business glossary terms. Visualize data: Analytics has the potential to give you a detailed snapshot of your business landscape. To help make the most of that potential, you want a ...
We’ve covered a lot of terms—some of which you may have already known, and some of which are new. To make it easy to remember what a word means, we created this glossary of terms and definitions. To use the glossary for this course item, click the link below and select “Use Tem...
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Does complex terminology put you off using data? Here’s a glossary of common data science terms with straightforward definitions, helpful examples, and additional resources if you want to dive deeper. Algorithm What is an algorithm? An algorithm is defined as a specified process for solving a ...
Big data comes with a lot of new terminology that is sometimes hard to understand. Therefore we have created an extensive Big Data glossary that should give some insights. Some of the definitions refer to a corresponding blog post. Of course this big data glossary is not 100% complete, so ...
Data Analytics Process Traditionally, performing big data analytics meant a lot of heavy lifting in terms of coding and manual analysis. Modern tools and analysis techniquesincorporate AIto enhance every aspect of analytics by automating processes, enabling advanced techniques, improving accuracy and effic...
Data Warehouse Glossary of Key TermsFor a comparison of data warehousing to databases, data lakes, etc., please see Demystify Data Warehouse Basic Concepts.