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How LinkedIn uses Hadoop to leverage Big Data Analytics?

ProjectPro

Table of Contents LinkedIn Hadoop and Big Data Analytics The Big Data Ecosystem at LinkedIn LinkedIn Big Data Products 1) People You May Know 2) Skill Endorsements 3) Jobs You May Be Interested In 4) News Feed Updates Wondering how LinkedIn keeps up with your job preferences, your connection suggestions and stories you prefer to read?

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Big Data Timeline- Series of Big Data Evolution

ProjectPro

2005 - The tiny toy elephant Hadoop was developed by Doug Cutting and Mike Cafarella to handle the big data explosion from the web. million analysts and managers, 140,000 and 190,000 skilled professionals with deep analytical skills. US government invests $200 million in big data research projects. 10 21 i.e. 4.4 10 21 i.e. 4.4

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5 Reasons why Java professionals should learn Hadoop

ProjectPro

Having crossed the $50 billion mark, the Big Data segment of the IT industry has witnessed an exponential growth in the past few years. A survey of 720 worldwide clients conducted by Gartner in 2013 found that almost 64% were planning to invest heavily in Big Data Technology.

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Hadoop- The Next Big Thing in India

ProjectPro

IBM Corporation has a big data team of close to 5000 professionals crunching the data to help fuel companies - find, extract and process fuel efficiently. IBM Corporation has a big data team of close to 5000 professionals crunching the data to help fuel companies - find, extract and process fuel efficiently.

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Emerging Trends in Big Data Analysis for 2023

ProjectPro

Big data companies are closely watching the latest trends in big data analytics to gain competitive advantage with the use of data. Businesses are wading into the big data trends as they do not want to take the risk of being left behind. IDC also forecasts that Big Data Analytics market will outpour from $3.2

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What are the Pre-requisites to learn Hadoop?

ProjectPro

By 2018, the Big Data market will be about $46.34 between 2013 - 2020. The availability of skilled big data Hadoop talent will directly impact the market. Demand for Big Data Analytics talent will by far surpass the supply of talent by 2018. Learning Hadoop is foremost step to build a career in big data.

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5 Reasons Why ETL Professionals Should Learn Hadoop

ProjectPro

Get FREE Access to Data Analytics Example Codes for Data Cleaning, Data Munging, and Data Visualization Reason One: Wider Career Path The ETL vs. Hadoop debate is gathering momentum by the day and there is no clear cut winner in sight in the near future.

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