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Data Science On The Google Cloud Platform: Implementing End-To-End Real-Tim...
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Data Science On The Google Cloud Platform: Implementing End-To-End Real-Tim...
Discover how Google Cloud Platform transforms the way you do data science with powerful, collaborative tools.
Data Science On The Google Cloud Platform: Implementing End-To-End Real-Tim...
Item #: 128208365

Data Science On The Google Cloud Platform: Implementing End-To-End Real-Tim...

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Item #: 128208365
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What Stands Out

End-to-End Pipeline
This resource showcases the complete process of data science on the Google Cloud Platform, empowering users to implement real-time solutions efficiently.
Real-Time Insights
Users can leverage real-time analytics and machine learning capabilities, enabling rapid decision-making and responsiveness in dynamic business environments.
Cloud Integration
Seamlessly integrates with Google Cloud services, providing a robust and scalable infrastructure that enhances performance and accessibility for data-driven projects.

Product Details

Shop Data Science On The Google Cloud Platform: Implementing End-To-End Real-Tim... online at a best price in Slovakia. 185435742956
Book TitleData Science On The Google Cloud Platform: Implementing End-...
ISBN9781098118952
Subject AreaMathematics, Computers
Publication NameData Science on the Google Cloud Platform : Implementing End-To-End Real-Time Data Pipelines: from Ingest to Machine Learning
PublisherO'reilly Media, Incorporated
Item Length9.1 in (23.1 cm)
SubjectCloud Computing, Data Modeling & Design, General, Data Processing
Publication Year2022
TypeTextbook
FormatTrade Paperback
LanguageEnglish
Item Height1.1 in (2.8 cm)
AuthorValliappa Lakshmanan
Item Weight28.5 Oz (807.98 grams)
Item Width7 in (17.8 cm)
Number of Pages459 Pages

Who Should Buy?

Suitable For
  • Data Scientists

    Ideal for data scientists looking to leverage Google Cloud tools for real-time data analysis and machine learning.

  • Cloud Engineers

    Perfect for cloud engineers implementing scalable solutions for data processing on the Google Cloud Platform.

  • Business Analysts

    Beneficial for business analysts needing to create real-time visualizations and insights from large datasets.

Not Suitable For
  • Beginners

    Not suitable for beginners without foundational knowledge of data science concepts or cloud technologies.

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Pros

  • Comprehensive coverage of topics
  • Clear, step-by-step instructions
  • Hands-on real-world examples
  • Great for beginners and experts
  • Excellent support from the community

Cons

  • Some advanced topics may be brief.

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Features & Benefits

  • Learn to implement end-to-end data pipelines on Google Cloud Platform.
  • Utilize statistical and machine learning methods effectively with hands-on guidance.
  • Follow real-world business decisions to apply data science approaches practically.
  • Master best practices for building scalable data and ML pipelines.
  • Automate data ingest, create dashboards, and conduct interactive data exploration.
  • Gain expertise in forecasting, anomaly detection, and training explainable ML models.

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