Podcast
Questions and Answers
What is one of R's strengths?
What is one of R's strengths?
What is the primary purpose of the R programming language?
What is the primary purpose of the R programming language?
What is the license under which R is available?
What is the license under which R is available?
What is the benefit of using a cloud computing provider for big data processing?
What is the benefit of using a cloud computing provider for big data processing?
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What type of systems often generate big data?
What type of systems often generate big data?
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What is the purpose of machine learning in cloud computing providers?
What is the purpose of machine learning in cloud computing providers?
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What is a feature of R's graphics capabilities?
What is a feature of R's graphics capabilities?
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What is the advantage of using R for statistical computing?
What is the advantage of using R for statistical computing?
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What is a common feature of cloud computing providers' user interfaces?
What is a common feature of cloud computing providers' user interfaces?
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What is one of the products that are usually part of a cloud computing package?
What is one of the products that are usually part of a cloud computing package?
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Study Notes
Understanding Big Data
- Big data involves collecting and processing large amounts of data from multiple sources, often in terabytes or petabytes.
- Three main actions are required to make big data work: integration, management, and analysis.
Integration
- Integration involves receiving, processing, and transforming raw data into a usable format for business users and analysts.
Management
- Big data requires significant storage, often using cloud solutions to take advantage of unlimited compute and scalability.
- Data must be stored in a format that can be processed and made available in real-time.
Analysis
- Analysis involves exploring the data and communicating insights across the business in a way that everyone can understand.
- Data visualization tools are used to create charts, graphs, and dashboards to facilitate understanding.
Applications of Big Data
- Big retail stores use big data to track customer spending habits and shopping behavior.
- This information is used to provide personalized product recommendations to customers.
Tableau
- Tableau is a data visualization tool that can connect to multiple data sources and create interactive visualizations without requiring coding knowledge.
- Features of Tableau include powerful data discovery and exploration, support for multiple data sources, and centralized data source management.
R Language
- R is a language and environment for statistical computing and graphics.
- R provides a wide range of statistical and graphical techniques and is highly extensible.
- R is available as free software under the GNU General Public License.
Cloud Computing and Big Data
- Cloud computing providers often use a "software as a service" model to allow customers to easily process data.
- Big data is often generated by large, network-based systems and may require artificial intelligence and machine learning to standardize data in non-standard formats.
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Description
Learn how to make big data work by integrating, managing, and processing raw data from various sources to make it usable for analysis
