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How JPMorgan uses Hadoop to leverage Big Data Analytics?

ProjectPro

With more than 150 petabytes of data, approximately 3.5 billion user accounts and 30,000 databases, JPMorgan Chase is definitely a name to reckon with in the financial sector. Big data analytics helps JPMorgan identify the best set of products they can deliver to their customers.

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Top 30 Data Scientist Skills to Master in 2024

Knowledge Hut

Data analytics, data mining, artificial intelligence, machine learning, deep learning, and other related matters are all included under the collective term "data science" When it comes to data science, it is one of the industries with the fastest growth in terms of income potential and career opportunities.

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Hadoop Jobs Salary Trends in India

ProjectPro

This blog post gives an overview on the big data analytics job market growth in India which will help the readers understand the current trends in big data and hadoop jobs and the big salaries companies are willing to shell out to hire expert Hadoop developers. It’s raining jobs for Hadoop skills in India.

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SAP Hadoop Bringing Unique Big Data Solutions

ProjectPro

SAP is all set to ensure that big data market knows its hip to the trend with its new announcement at a conference in San Francisco that it will embrace Hadoop. What follows is an elaborate explanation on how SAP and Hadoop together can bring in novel big data solutions to the enterprise.

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7 Big Data Conferences You Should Attend in 2023

ProjectPro

With the increasing growth and understanding of big data across myriad industries, one can find industry experts sharing their insights about new big data methodologies, tools and best practices at these leading big data conferences. Table of Contents Why you should attend a Big Data Conference?

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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. petabytes of unstructured data from 1 million customers every hour. With Mupd8, stream processing applications could emphasize on the quality of generated data.

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Data Science Foundations & Learning Path

Knowledge Hut

In the age of big data processing, how to store these terabytes of data surfed over the internet was the key concern of companies until 2010. Now that the issue of storage of big data has been solved successfully by Hadoop and various other frameworks, the concern has shifted to processing these data.