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

    DROSIA SERENITY
    A Premium Residential Project in the Heart of Drosia, Larnaca

    ONLY TWO FLATS REMAIN!

    Modern and impressive architectural design with high-quality finishes Spacious 2-bedroom apartments with two verandas and smart layouts Penthouse units with private rooftop gardens of up to 63 m² Private covered parking for each apartment Exceptionally quiet location just 5–8 minutes from the marina, Finikoudes Beach, Metropolis Mall, and city center Quick access to all major routes and the highway Boutique-style building with only 8 apartments High-spec technical features including A/C provisions, solar water heater, and photovoltaic system setup.
    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.
    Whether for living or investment, this is a rare opportunity in a strategic and desirable location.

    The Spark Video Collection 2016

    Posted By: groovebeat
    The Spark Video Collection 2016

    The Spark Video Collection 2016
    WEB-Rip | MP4 | AVC1 @ 4.5 Mbit/s | 1920x1080 | AAC Stereo @ 128 Kbit/s 48 KHz | 8 Hours | 15.2 GB
    Genre: eLearning | Language: English

    Watch this ongoing compilation of Spark talks from leading developers and practicioners at Strata + Hadoop World conferences in 2016 (including San Jose, London, Beijing, New York, and Singapore). Throughout the year we'll update the stream of talks covering the latest trends in Spark for real-time analytics and machine learning, as well as tips on how to deploy Spark in production. Topics range from Spark 2.0, anomaly detection with Spark, training deep networks in Spark, and tips for securing and scaling Spark in production.

    Table of Contents

    San Jose 2016: Spark 2.0
    The state of Spark and where it is going in 2016 - Reynold Xin (Databricks) 00:39:02
    San Jose 2016: Spark Streaming
    Apache Spark and real-time analytics: From interactive queries to streaming - Michael Armbrust (Databricks) 00:39:24
    San Jose 2016: Spark and Machine Learning
    Fast big data analytics and machine learning using Alluxio and Spark in Baidu - Bin Fan (Alluxio), Haojun Wang (Baidu) 00:27:37
    SparkNet: Training deep networks in Spark - Robert Nishihara (UC Berkeley) 00:44:51
    San Jose 2016: Spark in Production
    Scala and the JVM as a big data platform: Lessons from Apache Spark - Dean Wampler (Lightbend) 00:39:44
    Not your father's database: How to use Apache Spark properly in your big data architecture - Vida Ha (Databricks) 00:38:20
    London 2016: Spark Streaming
    The future of streaming in Spark: Structured streaming - Tathagata Das (Databricks) 00:41:57
    So you think you can stream: Use cases and design patterns for Spark Streaming - Vida Ha (Databricks) and Prakash Chockalingam (Databricks) 00:40:51
    Anomaly detection in telecom with Spark - Ted Dunning (MapR Technologies) 00:44:47
    London 2016: Spark in Production
    Securing Apache Spark on production Hadoop clusters - Kostas Sakellis (Cloudera) 00:40:19
    Beyond shuffling: Tips and tricks for scaling Spark jobs - Holden Karau (IBM) 00:41:25
    Adding complex data to the Spark stack - Neeraja Rentachintala (MapR Technologies) 00:39:56
    The Spark Video Collection 2016

    The Spark Video Collection 2016

    The Spark Video Collection 2016

    The Spark Video Collection 2016

    The Spark Video Collection 2016


    The Spark Video Collection 2016