Remove 2018 Remove Big Data Analytics Remove Data Governance
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Beyond data: Cloud analytics mastery for business brilliance

Dataconomy

Text analytics is crucial for sentiment analysis, content categorization, and identifying emerging trends. Big data analytics: Big data analytics is designed to handle massive volumes of data from various sources, including structured and unstructured data.

Analytics 203
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A Comprehensive Guide to the main components of Big Data

Pickl AI

Introduction In today’s digital age, the volume of data generated is staggering. According to a report by Statista, the global data sphere is expected to reach 180 zettabytes by 2025 , a significant increase from 33 zettabytes in 2018. Processing frameworks like Hadoop enable efficient data analysis across clusters.

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A Comprehensive Guide to the Main Components of Big Data

Pickl AI

Introduction In today’s digital age, the volume of data generated is staggering. According to a report by Statista, the global data sphere is expected to reach 180 zettabytes by 2025 , a significant increase from 33 zettabytes in 2018. Processing frameworks like Hadoop enable efficient data analysis across clusters.

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TrustCheck from Alation: In Conversation with Peter Burris

Alation

As a result, self-service analytics users instantly know whether the data asset or query logic they’re looking at is trustworthy or not. Alation’s TrustCheck technology enables a new and modern approach to agile data governance. I had the pleasure of chatting with Peter Burris of theCUBE about all things TrustCheck.

Tableau 52
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Big Data – Das Versprechen wurde eingelöst

Data Science Blog

Dann etwa im Jahr 2018 flachte der Hype um Big Data wieder ab, die Euphorie änderte sich in eine Ernüchterung, zumindest für den deutschen Mittelstand. Google Trends – Big Data (blue), Data Science (red), Business Intelligence (yellow) und Process Mining (green). Artificial Intelligence (AI) ersetzt.

Big Data 147