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Top 14 Big Data Analytics Tools in 2024

Knowledge Hut

The collection of meaningful market data has become a critical component of maintaining consistency in businesses today. A company can make the right decision by organizing a massive amount of raw data with the right data analytic tool and a professional data analyst. What Is Big Data Analytics?

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Fundamentals of Apache Spark

Knowledge Hut

It’s also called a Parallel Data processing Engine in a few definitions. Spark is utilized for Big data analytics and related processing. Spark (and its RDD) was developed(earliest version as it’s seen today), in 2012, in response to limitations in the MapReduce cluster computing paradigm.

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How JPMorgan uses Hadoop to leverage Big Data Analytics?

ProjectPro

Large commercial banks like JPMorgan have millions of customers but can now operate effectively-thanks to big data analytics leveraged on increasing number of unstructured and structured data sets using the open source framework - Hadoop. JP Morgan has massive amounts of data on what its customers spend and earn.

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10 Best Big Data Books in 2024 [Beginners and Advanced]

Knowledge Hut

This big data book for beginners covers the creation of structured, unstructured, and semi-structured data, data storage solutions, traditional database solutions like SQL, data processing, data analytics, machine learning, and data mining.

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Top 20 Data Analytics Projects for Students to Practice in 2023

ProjectPro

According to Gartner , organizations can suffer a financial loss of up to 15 million dollars for the poor quality of data. As per McKinsey , 47% of organizations believe that data analytics has impacted the market in their respective industries. This number grew to 67.9% as of 2018, and is only increasing from there.

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Spark vs Hive - What's the Difference

ProjectPro

Hive , for instance, does not support sub-queries and unstructured data. Data update and deletion operations are also not possible with Hive. The tool also has acceptable latency for interactive data browsing, and it causes adverse implications on the overall performance.

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Big Data Timeline- Series of Big Data Evolution

ProjectPro

1997 -The term “BIG DATA” was used for the first time- A paper on Visualization published by David Ellsworth and Michael Cox of NASA’s Ames Research Centre mentioned about the challenges in working with large unstructured data sets with the existing computing systems. Truskowski.