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Top 14 Big Data Analytics Tools in 2024

Knowledge Hut

Data tracking is becoming more and more important as technology evolves. A global data explosion is generating almost 2.5 quintillion bytes of data today, and unless that data is organized properly, it is useless. Some open-source technology for big data analytics are : Hadoop. Apache Spark.

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How Big Data Analysis helped increase Walmarts Sales turnover?

ProjectPro

Walmart has created value with big data and it is no secret how Walmart became successful. Its scale in terms of customers, its scale in terms of products and its scale in terms of technology.”-said Walmart started making use of big data analytics much before the term Big Data became popular in the industry.

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How JPMorgan uses Hadoop to leverage Big Data Analytics?

ProjectPro

The data is aggregated into a common platform for use in a range of customer-focused data mining and data analytics tools”- said Larry Feinsmith, Managing Director of IT at JPMorgan Chase. The data analysts at JPMorgan built a data set of 2.5 million account holders from October 2012 to December 2014.

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5 Big Data and Hadoop Use Cases in Retail Analytics

ProjectPro

Retail big data analytics is the future of retail as it separates the wheat from the chaff. Retail industry is rapidly adopting the data centric technology to boost sales. Retailers who use predictive analytics achieve 73% higher sales than those who have never done it. Today, the breed of consumers have changed significantly.

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100+ Machine Learning Datasets Curated For You

ProjectPro

19) Walmart Dataset This is one of the best beginner-level machine learning datasets as it has the most retail data along with external data in the region of each Walmart store such as Unemployment rate, fuel prices, CPI making it a perfect choice for detailed analysis.

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A Guide to Using AI Responsibly

Knowledge Hut

Anthony Franklin, a senior data science expert and AI evangelist from Microsoft, spoke about the challenges that society faces from the ever-evolving AI and how the inherent biased nature of humans is reflected in technology. We are in a race to advance AI capabilities and everything is about collecting data.

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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.