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ProjectPro Reviews:Solved End-to-End Big Data Projects

ProjectPro

I have worked for more than 15 years in Java and J2EE and have recently developed an interest in Big Data technologies and Machine learning due to a big need at my workspace. For example I do not care about the history of Java, Oracle, DB2, Autosys, Cron, Unix. I was referred here by a colleague. Camille St. It was a good start.

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Big Data Use Cases: How PayPal leverages Big Data Analytics

ProjectPro

With more than- -165 million active users as of August 2015; -10+ million logins every day; -13 million transactions; - Processing more than 1.1 PB of data; - $250 billion worth of payments processed every year; -12.5 Reader's Choice: The topic for this article has been recommended by one of our Blog subscribers.

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Hadoop Jobs Salary Trends in India

ProjectPro

This demand and supply gap has widened the big data and hadoop job market, creating a surging demand for big data skills like Hadoop, Spark, NoSQL, Data Mining, Machine Learning, etc. It’s raining jobs for Hadoop skills in India.

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How Big Data Analysis helped increase Walmarts Sales turnover?

ProjectPro

“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. Effective data mining at Walmart has increased its conversion rate of customers. Related Posts How much Java is required to learn Hadoop?

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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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5 Big Data and Hadoop Use Cases in Retail Analytics

ProjectPro

Gartner surveyed close to 2/3 rd of the 720 businesses and IT leaders who said “they have already invested in Big Data or expect to invest in Big Data by the end of June 2015” Gartner survey also projects that 73% of the retail organizations plan to invest in Retail Analytics 2 years down the lane.

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Keras vs Tensorflow - Deep Learning Frameworks Battle Royale

ProjectPro

Since the initial release of Keras and TensorFlow in the year 2015, both became the most widely-known Deep learning frameworks. TensorFlow supports C++, Java, Python, JavaScript, Go, and Swift. The two most popular deep learning frameworks that machine learning and deep learning engineers prefer are TensorFlow and Keras.