Tags
Language
Tags
<<
June 2025
Su Mo Tu We Th Fr Sa
1 2 3 4 5 6 7
8 9 10 11 12 13 14
15 16 17 18 19 20 21
22 23 24 25 26 27 28
29 30 1 2 3 4 5
    Attention❗ To save your time, in order to download anything on this site, you must be registered 👉 HERE. If you do not have a registration yet, it is better to do it right away. ✌
    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.
    Whether for living or investment, this is a rare opportunity in a strategic and desirable location.

    1. Home
    2. eBooks & eLearning
    3. Cloud Hadoop: Scaling Apache Spark

    Cloud Hadoop: Scaling Apache Spark

    Posted By: IrGens
    Date: 7 Feb 2025 19:41:27
    Cloud Hadoop: Scaling Apache Spark

    Cloud Hadoop: Scaling Apache Spark
    .MP4, AVC, 1280x720, 30 fps | English, AAC, 2 Ch | 3h 15m | 483 MB
    Instructor: Lynn Langit

    Apache Hadoop and Spark make it possible to generate genuine business insights from big data. The Amazon cloud is natural home for this powerful toolset, providing a variety of services for running large-scale data-processing workflows. Learn to implement your own Apache Hadoop and Spark workflows on AWS in this course with big data architect Lynn Langit.

    Explore deployment options for production-scaled jobs using virtual machines with EC2, managed Spark clusters with EMR, or containers with EKS. Learn how to configure and manage Hadoop clusters and Spark jobs with Databricks, and use Python or the programming language of your choice to import data and execute jobs. Plus, learn how to use Spark libraries for machine learning, genomics, and streaming. Each lesson helps you understand which deployment option is best for your workload.

    Learning objectives

    • File systems for Hadoop and Spark
    • Working with Databricks
    • Loading data into tables
    • Setting up Hadoop and Spark clusters on the cloud
    • Running Spark jobs
    • Importing and exporting Python notebooks
    • Executing Spark jobs in Databricks using Python and Scala
    • Importing data into Spark clusters
    • Coding and executing Spark transformations and actions
    • Data caching
    • Spark libraries: Spark SQL, SparkR, Spark ML, and more
    • Spark streaming
    • Scaling Spark with AWS and GCP

    More Info

    Cloud Hadoop: Scaling Apache Spark
    UPWARDS