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    https://sophisticatedspectra.com/article/drosia-serenity-a-modern-oasis-in-the-heart-of-larnaca.2521391.html

    DROSIA SERENITY
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    Drosia Serenity is not only an architectural gem but also a highly attractive investment opportunity. Located in the desirable residential area of Drosia, Larnaca, this modern development offers 5–7% annual rental yield, making it an ideal choice for investors seeking stable and lucrative returns in Cyprus' dynamic real estate market. Feel free to check the location on Google Maps.
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    Big Data Analytics with R: Leverage R Programming to uncover hidden patterns in your Big Data

    Posted By: sammoh
    Big Data Analytics with R: Leverage R Programming to uncover hidden patterns in your Big Data

    Big Data Analytics with R: Leverage R Programming to uncover hidden patterns in your Big Data
    English | ISBN: 9781786466457 | July 29, 2016 | 500 Pages | True ( EPUB , PDF, MOBI ) | 83.38 MB

    Key Features
    Perform computational analyses on Big Data to generate meaningful results
    Get a practical knowledge of R programming language while working on Big Data platforms like Hadoop, Spark, H2O and SQL/NoSQL databases
    Explore fast, streaming, and scalable data analysis with the most cutting-edge technologies in the market

    Book Description
    Big Data analytics is the process of examining large and complex data sets that often exceed the computational capabilities. R is a leading programming language of data science, consisting of powerful functions to tackle all problems related to Big Data processing.

    The book begins with a brief introduction to the Big Data world and its current industry standards, with an introduction to the R language presenting its development, structure, applications in the real world, and its shortcomings. The book then progresses towards the revision of major R functions for data management and transformations. You'll be introduced to Cloud based Big Data solutions (e.g. Amazon EC2 instances and Amazon RDS, Microsoft Azure and its HDInsight clusters), and be given guidance on R connectivity with relational and non-relational databases such as MongoDB and HBase etc. In addition to this, Big Data Analytics with R expands to include Big Data tools such as Apache Hadoop ecosystem, HDFS and MapReduce frameworks, including other R compatible tools such as Apache Spark, its machine learning library Spark MLlib, as well as H2O.

    What you will learn
    Learn about the current state of Big Data processing using the R programming language and its powerful statistical capabilities
    Deploy Big Data analytics platforms with selected Big Data tools supported by R in a cost-effective and time-saving manner
    Apply the R language to real-world Big Data problems on a multi-node Hadoop cluster, e.g. electricity consumption across various socio-demographic indicators and bike share scheme usage
    Explore the compatibility of R with Hadoop, Spark, SQL and NoSQL databases, and H2O platform
    About the Author
    Simon Walkowiak is a cognitive neuroscientist and a managing director of Mind Project Ltd - a Big Data and Predictive Analytics consultancy based in London, United Kingdom. As a former data curator at the UK Data Service (UKDS, University of Essex) European largest socio-economic data repository, Simon has an extensive experience in processing and managing large-scale datasets such as censuses, sensor and smart meter data, telecommunication data and well-known governmental and social surveys such as the British Social Attitudes survey, Labour Force surveys, Understanding Society, National Travel survey, and many other socio-economic datasets collected and deposited by Eurostat, World Bank, Office for National Statistics, Department of Transport, NatCen and International Energy Agency, to mention just a few. Simon has delivered numerous data science and R training courses at public institutions and international companies. He has also taught a course in Big Data Methods in R at major UK universities and at the prestigious Big Data and Analytics Summer School organized by the Institute of Analytics and Data Science (IADS).

    Table of Contents
    The Era of Big Data
    Introduction to R Programming Language and Statistical Environment
    Unleashing the Power of R from Within
    Hadoop and MapReduce Framework for R
    R with Relational Database Management Systems (RDBMSs)
    R with Non-Relational (NoSQL) Databases
    Faster than Hadoop - Spark with R
    Machine Learning Methods for Big Data in R
    The Future of R - Big, Fast, and Smart Data