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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. billion in 2014 to $4.5

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How to Become an Azure Data Engineer in 2023?

ProjectPro

The big data industry is flourishing, particularly in light of the pandemic's rapid digitalization. Companies in various sectors are improving their big data and analytics operations, from healthcare to retail. In every case, data engineering is expected to be one of the most in-demand professions in 2022 and beyond.

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How Big Data Analysis helped increase Walmarts Sales turnover?

ProjectPro

With more than 245 million customers visiting 10,900 stores and with 10 active websites across the globe, Walmart is definitely a name to reckon with in the retail sector. Whether it is in-store purchases or social mentions or any other online activity, Walmart has always been one of the best retailers in the world.

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

ProjectPro

As the big data boom spreads globally, we at ProjectPro describe on how big data helps business across different industries and the companies using big data that stand to gain the most from implementing big data initiatives. In 2015, big data has evolved beyond the hype. How big data helps businesses?

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Hadoop Jobs Salary Trends in India

ProjectPro

Indian Big Data Analytics Market worth 2+ Billion By 2017-2018, India alone will be a major shareholder of the overall big data analytics market worth $2.3 ” Experts estimate a dearth of 200,000 data analysts in India by 2018.Gartner

Hadoop 40
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Hottest IT Certifications of 2023- Hadoop Certification

ProjectPro

Big data success requires hadoop professionals who can prove their mastery with the tools and techniques of the Hadoop stack. The target audience is IT professionals with a background in analytics, data mining, business intelligence or data management, along with a knack for and interest in mathematics and statistics.

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