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Data science vs data analytics: Unpacking the differences

IBM Big Data Hub

Though you may encounter the terms “data science” and “data analytics” being used interchangeably in conversations or online, they refer to two distinctly different concepts. Meanwhile, data analytics is the act of examining datasets to extract value and find answers to specific questions.

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Convergent Evolution

Peter James Thomas

Even back then, these were used for activities such as Analytics , Dashboards , Statistical Modelling , Data Mining and Advanced Visualisation. In parallel, concerns about expensive Data Science resource spending 80% of their time in Data Wrangling [7] led to the creation of a new role, that of Data Engineer.

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Amazon Redshift announcements at AWS re:Invent 2023 to enable analytics on all your data

AWS Big Data

In 2013, Amazon Web Services revolutionized the data warehousing industry by launching Amazon Redshift , the first fully-managed, petabyte-scale, enterprise-grade cloud data warehouse. Amazon Redshift made it simple and cost-effective to efficiently analyze large volumes of data using existing business intelligence tools.

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The latest edition of The Data & Analytics Dictionary is now out

Peter James Thomas

Business Glossary (contributor: Tenny Thomas Soman ). Data Architecture – Definition (2). Data Catalogue. Data Community. Data Domain (contributor: Taru Väre ). Data Enrichment. Data Federation. Data Function. Data Model. Data Operating Model. Statistics.

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A Picture Paints a Thousand Numbers

Peter James Thomas

See also: Data Visualisation according to a Four-year-old. Some authorities describe them as any diagram using a map to display statistical data; I cover this type of general chart in Map Charts below. A further example is contained in Limitations of Business Intelligence. Business logic [My adaptation].

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