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8 Best Python Data Science Books [Beginners and Professionals]

Knowledge Hut

Python could be a high-level, useful programming language that allows faster work. It supports a range of programming paradigms, as well as procedural, object-oriented, and practical programming, also as structured programming. This book offers practical programming solutions to these problems.

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Data Engineers of Netflix?—?Interview with Kevin Wylie

Netflix Tech

His favorite TV shows: Ozark, Breaking Bad, Black Mirror, Barry, and Chernobyl Since I joined Netflix back in 2011, my favorite project has been designing and building the first version of our entertainment knowledge graph. I had been a happy subscriber of Netflix’s DVD-rental program (no late fees!)

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The Rise of the Data Engineer

Maxime Beauchemin

I joined Facebook in 2011 as a business intelligence engineer. This discipline also integrates specialization around the operation of so called “big data” distributed systems, along with concepts around the extended Hadoop ecosystem, stream processing, and in computation at scale. By the time I left in 2013, I was a data engineer.

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

ProjectPro

This is creating a huge job opportunity and there is an urgent requirement for the professionals to master Big Data Hadoop skills. Studies show, that by 2020, 80% of all Fortune 500 companies will have adopted Hadoop. Image Credit : hortonworks As per big data industry trends , the hype of Big Data had just begun in 2011.

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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. Hadoop is an open source solution for storing and processing large unstructured data sets. In 2011, it took only 2 days to generate 1.8 zettabytes. Zettabytes of information. 10 21 i.e. 4.4

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Apache Kafka – Next Generation Distributed Messaging System

ProjectPro

Apache Kafka is breaking barriers and eliminating the slow batch processing method that is used by Hadoop. Kafka was mainly developed to make working with Hadoop easier. True that it is eliminating the limitations of Hadoop – but it will not eliminate Hadoop itself. Apache Kafka attempts to solve this issue.

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5 Big Data Use Cases- How Companies Use Big Data

ProjectPro

Let’s take a look at how Amazon uses Big Data- Amazon has approximately 1 million hadoop clusters to support their risk management, affiliate network, website updates, machine learning systems and more. Amazon launched a promotional offer in 2011 – “Amazon pays shoppers $5 if they walk out of the store without any purchases.”