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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.

    Real-Time Data Stream Processing in Azure

    Posted By: IrGens
    Real-Time Data Stream Processing in Azure

    Real-Time Data Stream Processing in Azure
    .MP4, AVC, 1920x1080, 30 fps | English, AAC, 2 Ch | 1h 14m | 1.11 GB
    Instructor: Hersh Bhasin

    Delve into big data streaming with Azure using Event Hubs, Data Lake, and Azure Stream Analytics

    Learn

    Gain a thorough understanding of Azure Stream Analytics
    Discover how to ingest data using Azure Event Hubs
    Find out how to archive data from Event Hubs to Azure Data Lake
    Provision Event Hubs, Data Lake, and SQL Server in Azure
    Listen to an event hub and stream the data to a SQL Server table
    Communicate with event hubs for effortless data transfer
    Discover how event hub groups work

    About

    A modern digital company captures a large amount of data every day. This data gets locked in data islands such as caches, queues, and logs, and extracting this data and making it useful poses a major challenge. Real-time data processing is the most effective alternative to traditional extract, transform, and load (ETL) processes. This course will help you to think of data as an ever-flowing stream of events instead of data as islands locked away in databases.

    This course employs live labs to get you up to speed with Azure Event Hubs and teach you how to create C# console applications for sending and receiving data from Event Hubs. As you advance, you'll learn how to capture and archive data from Azure Event Hubs to Azure Data Lake. The subsequent videos will show you how to provision Event Hubs, Data Lake, and SQL Server databases in Azure. Toward the end of the course, you'll write an analytics job to stream live data from an event hub to a SQL Server database.

    By the end of this course, you'll have developed a solid understanding of how to stream big data using Azure Stream Analytics.

    All the codes and supporting files for this course will be available at- https://github.com/PacktPublishing/Real-Time-Data-Stream-Processing-in-Azure

    Features

    Learn to think of data as an ever-flowing stream of events
    Discover how to harness the power of data events using Azure Stream Analytics
    Get up to speed with Azure Event Hubs


    Real-Time Data Stream Processing in Azure