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Cloud Data Platforms

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May 1, 2024 3 minute read
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Cloud Data Platforms are a fundamental component of the modern data landscape, enabling organizations to store, manage, and analyze vast amounts of data in the cloud. These platforms provide scalable, cost-effective solutions for handling data-intensive applications and workloads, and they play a crucial role in driving data-driven decision-making and innovation.

Why Learn About Cloud Data Platforms?

Understanding Cloud Data Platforms offers numerous benefits for individuals:

Path to Cloud Data Platforms

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We've curated one courses to help you on your path to Cloud Data Platforms. Use these to develop your skills, build background knowledge, and put what you learn to practice.
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Reading list

We've selected four books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in Cloud Data Platforms.
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Information Governance Principles and Practices for...
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Provides a practical guide to using data platforms for modern business analytics. It is an excellent resource for business analysts and data scientists who want to learn more about how to use data platforms to gain insights from data.
Information Governance Principles and Practices for...
Paperback
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Designing Data-Intensive Applications
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Provides a comprehensive overview of designing data-intensive applications. It is an excellent resource for architects and developers who want to learn more about how to build and manage data-intensive applications in the cloud.
Designing Data-Intensive Applications: The Big...
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Designing Data-Intensive Applications: The Big...
Kindle Edition
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Data Mining for Business Analytics
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Provides a hands-on introduction to AWS Big Data Analytics services, such as EMR, Redshift, and Athena. It is an excellent resource for developers who want to learn how to use these services to build and manage data-intensive applications in the cloud.
Data Mining for Business Analytics
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Data Mining for Business Analytics
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Google BigQuery: The Definitive Guide
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Provides a hands-on introduction to Google Cloud Platform Data Engineering services, such as BigQuery, Dataflow, and Pub/Sub. It is an excellent resource for developers who want to learn how to use these services to build and manage data-intensive applications in the cloud.
Google BigQuery: The Definitive Guide
Paperback
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Google BigQuery: The Definitive Guide
Kindle Edition
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Relevant careers
Data Engineer
Cloud Architect
Data Analyst
Data Scientist
Software Engineer
Database Administrator
Data Integration Specialist
Business Intelligence Analyst
Machine Learning Engineer
Artificial Intelligence Engineer
Related topics
Data Engineering
Cloud Computing
Big Data Analytics
Data Warehousing
Data Integration
Databases
Data Science
Machine Learning
Artificial Intelligence
Software Development
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