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Top 14 Big Data Analytics Tools in 2024

Knowledge Hut

MongoDB This free, open-source platform, which came into the limelight in 2010, is a document-oriented (NoSQL) database that is used to store a large amount of information in a structured manner. Although it's open source, it only supports 10000 data rows and one logical processor. Features: Various file types (SAS, ARFF, etc.)

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Recommender Systems: Behind the Scenes of Machine-Learning-Based Personalization

AltexSoft

line from “Taxi Driver” over and over again but still hate “lame” 2010’s comedies featuring him. Taking into account all the pros and cons, it’s fair to say that content-based filtering models fill the bill when there isn’t enough interaction data. Google singles out four key phases through which a recommender system processes data.

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How Big Data Analysis helped increase Walmarts Sales turnover?

ProjectPro

Walmart acquired a small startup Inkiru based in Palo Alto, California to boost its big data capabilites. helps in targeted marketing, merchandising and fraud prevention. “Our ability to pull data together is unmatched”- said Walmart CEO Bill Simon. Walmart uses data mining to discover patterns in point of sales data.

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Data Scientist roles and responsibilities

U-Next

An Introduction to A Data Scientist’s Roles and Responsibilities. The Big Data age in the data domain has begun as businesses cope with petabyte and exabyte-sized amounts of data. Up until 2010, it was extremely difficult for companies to store data. What is a Data Scientist?

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Top 10 Industries using Big Data and 121 companies who hire Hadoop Developers

ProjectPro

Work on Interesting Big Data and Hadoop Projects to build an impressive project portfolio! How big data helps businesses? Companies using big data excel in sorting the growing influx of big data collected, filtering out the relevant information to draw deeper insights through big data analytics.

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