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All Blog Posts Tagged 'mapreduce' (5)

Free eBooks from Packt

TensorFlow 1.x Deep Learning Cookbook

By Antonio Gulli, Amita Kapoor

Take the next step in implementing various common and not-so-common neural networks with Tensorflow 1.x

In this book, you will learn how to efficiently use TensorFlow, Google's open…

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Added by Packt Publishing on September 27, 2018 at 1:06am — 1 Comment

Why choose Apache Spark over Hadoop for your Big Data project?

When the first release of Spark became available in 2014, Hadoop had already enjoyed several years of growth since 2009 onwards in the commercial space. Although Hadoop solved a major hurdle in analyzing large terabyte-scale datasets efficiently, using distributed computing methods that were broadly accessible, it still had shortfalls that hindered its wider acceptance.



Limitations of Hadoop



A few of the common…

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Added by Packt Publishing on May 3, 2018 at 1:30am — No Comments

HDFS vs. HBase : All you need to know

The sudden increase in the volume of data from the order of gigabytes to zettabytes has created the need for a more organized file system for storage and processing of data. The demand stemming from the data market has brought Hadoop in the limelight making it one of biggest players in the industry. Hadoop Distributed File System (HDFS), the…

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Added by Noah Data on August 22, 2017 at 9:00pm — No Comments

Will Big Data solve the Riemann Hypothesis?

The Riemann Hypothesis is arguably the most important unsolved problem in mathematics. It falls into an area called Analytic Number Theory which is essentially number theory with complex numbers thrown into the mix. The hypothesis states that all non-trivial zeros of the Reimann Zeta function fall on the critical line. What!?? Ok, sorry. That is not very helpful. Lets just say that there is a critical relationship between this function and our…

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Added by Eduardo Siman on February 11, 2016 at 3:30am — 8 Comments

All you need to know about Hadoop

Source: http://www.edureka.co/blog/hadoop-tutorial/

Named after a kid’s toy elephant and initially recognized as a technical problem, today it drives a market that’s expected to be worth $50 billion by 2020. It is the most talked about technology since its inception as it allows some of the world’s largest companies to store and process data sets on clusters of commodity hardware.…

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Added by Durgesh Kaushik on October 1, 2015 at 9:00am — No Comments

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