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Cloud Data Platform

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May 1, 2024 3 minute read
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Cloud Data Platform is an extensive, fully managed data platform on Google Cloud that lets you ingest, process, and analyze a wide range of analytics and application data. Cloud Data Platform offers a wide range of services that easily ingest, process, analyze, and visualize data from a variety of sources. Data can be stored securely and cost-effectively in a managed environment, allowing you to create data-driven applications and make informed decisions.

Benefits of Studying Cloud Data Platform

There are many benefits to studying Cloud Data Platform, including:

Path to Cloud Data Platform

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We've curated one courses to help you on your path to Cloud Data Platform. 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 eight 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 Platform.
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Understanding Big Data: Analytics for Enterprise...
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Provides a comprehensive overview of data management in the cloud, covering topics such as cloud data architecture, data security, and data governance.
Understanding Big Data : Analytics for Enterprise...
Paperback
$$
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Google BigQuery: The Definitive Guide
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Provides a comprehensive overview of Google BigQuery, covering topics such as data storage, data processing, and data analysis.
Google BigQuery: The Definitive Guide: Data...
Paperback
$$
Google BigQuery: The Definitive Guide: Data...
Kindle Edition
$$
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Designing Data-Intensive Applications
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Provides a comprehensive overview of designing data-intensive applications, covering topics such as data modeling, data storage, and data processing.
Designing Data-Intensive Applications: The Big...
Paperback
$$
Designing Data-Intensive Applications: The Big...
Kindle Edition
$$
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Predictive Analytics with Microsoft Azure Machine...
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Provides a modern approach to data management and analytics in the cloud, covering topics such as data engineering, data analytics, and data science.
Predictive Analytics with Microsoft Azure Machine...
Paperback
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Predictive Analytics with Microsoft Azure Machine...
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Big Data Systems
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Provides a practical guide to data-oriented architecture patterns for cloud data warehousing, covering topics such as data modeling, data ingestion, and data processing.
Big Data Systems (Chapman & Hall/CRC Big Data...
Hardcover
$$$$
Big Data Systems: A 360-degree Approach (Chapman &...
Kindle Edition
$$
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The Data Lakehouse Architecture
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Provides a practical guide to building, testing, and managing data pipelines in the cloud, covering topics such as data integration, data transformation, and data quality.
The Data Lakehouse Architecture
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The Data Lakehouse Architecture
Kindle Edition
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Open Source Data Warehousing and Business...
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Provides a comprehensive overview of building a data warehouse on AWS, covering topics such as data modeling, data ingestion, data processing, and data analysis.
Open Source Data Warehousing and Business...
Hardcover
$$$$
Open Source Data Warehousing and Business...
Kindle Edition
$$$
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Applied Text Analysis with Python
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Provides a hands-on approach to analytical data science using Python, covering topics such as data wrangling, data analysis, and data visualization.
Applied Text Analysis with Python: Enabling...
Paperback
$$
Applied Text Analysis with Python: Enabling...
Kindle Edition
$$
Relevant careers
Data Engineer
Data Analyst
Data Scientist
Cloud Architect
DevOps Engineer
Data Architect
Database Administrator
Software Engineer
Machine Learning Engineer
Artificial Intelligence Engineer
Related topics
Data Engineering
Cloud Computing
Big Data
Data Architecture
SQL
Data Science
Machine Learning
Artificial Intelligence
Databases
Software Engineering
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