Tags
Language
Tags
<<
July 2025
Su Mo Tu We Th Fr Sa
29 30 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 31 1 2
    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.
    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.

    1. Home
    2. eBooks & eLearning
    3. Data Wrangling on AWS: Clean and organize complex data for analysis

    Data Wrangling on AWS: Clean and organize complex data for analysis

    Posted By: TiranaDok
    Date: 16 Oct 2024 17:25:33
    Data Wrangling on AWS: Clean and organize complex data for analysis

    Data Wrangling on AWS: Clean and organize complex data for analysis by Navnit Shukla, Sankar M, Sam Palani
    English | July 31, 2023 | ISBN: 1801810907 | 420 pages | EPUB + MOBI | 68 Mb

    Revamp your data landscape and implement highly effective data pipelines in AWS with this hands-on guide


    Key Features:

    • Execute extract, transform, and load (ETL) tasks on data lakes, data warehouses, and databases
    • Implement effective Pandas data operation with data wrangler
    • Integrate pipelines with AWS data services


    Book Description:


    Data wrangling is the process of cleaning, transforming, and organizing raw, messy, or unstructured data into a structured format. It involves processes such as data cleaning, data integration, data transformation, and data enrichment to ensure that the data is accurate, consistent, and suitable for analysis. Data Wrangling on AWS equips you with the knowledge to reap the full potential of AWS data wrangling tools.


    First, you'll be introduced to data wrangling on AWS and will be familiarized with data wrangling services available in AWS. You'll understand how to work with AWS Glue DataBrew, AWS data wrangler, and AWS Sagemaker. Next, you'll discover other AWS services like Amazon S3, Redshift, Athena, and Quicksight. Additionally, you'll explore advanced topics such as performing Pandas data operation with AWS data wrangler, optimizing ML data with AWS SageMaker, building the data warehouse with Glue DataBrew, along with security and monitoring aspects.


    By the end of this book, you'll be well-equipped to perform data wrangling using AWS services.


    What You Will Learn:

    • Explore how to write simple to complex transformations using AWS data wrangler
    • Use abstracted functions to extract and load data from and into AWS datastores
    • Configure AWS Glue DataBrew for data wrangling
    • Develop data pipelines using AWS data wrangler
    • Integrate AWS security features into Data Wrangler using identity and access management (IAM)
    • Optimize your data with AWS SageMaker


    Who this book is for:


    This book is for data engineers, data scientists, and business data analysts looking to explore the capabilities, tools, and services of data wrangling on AWS for their ETL tasks. Basic knowledge of Python, Pandas, and a familiarity with AWS tools such as AWS Glue, Amazon Athena is required to get the most out of this book.

    My Blog!
    UPWARDS