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Questions and Answers
What does descriptive analytics primarily focus on?
What does descriptive analytics primarily focus on?
Which type of analytics seeks to identify why an event occurred?
Which type of analytics seeks to identify why an event occurred?
What is the primary purpose of prescriptive analytics?
What is the primary purpose of prescriptive analytics?
Which of the following is NOT a component of the ETL process?
Which of the following is NOT a component of the ETL process?
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What kind of data do social media platforms primarily generate?
What kind of data do social media platforms primarily generate?
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What are the key rights specified for individuals regarding their personal data?
What are the key rights specified for individuals regarding their personal data?
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Which deployment type is characterized by resources being shared across multiple organizations?
Which deployment type is characterized by resources being shared across multiple organizations?
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Which of the following is NOT a characteristic of Big Data?
Which of the following is NOT a characteristic of Big Data?
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What is the primary purpose of using APIs in app development?
What is the primary purpose of using APIs in app development?
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Which of the following best describes the term 'Blockchain'?
Which of the following best describes the term 'Blockchain'?
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What defines the 'Velocity' characteristic of Big Data?
What defines the 'Velocity' characteristic of Big Data?
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Which of the following describes the purpose of Hadoop?
Which of the following describes the purpose of Hadoop?
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Which model of cloud computing involves providing software solutions to users over the internet?
Which model of cloud computing involves providing software solutions to users over the internet?
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Study Notes
Data Protection
- Key Rights: Individuals have the right to access, rectify, erase (right to be forgotten), and port their personal data.
- CCPA: California law empowering residents with control over their personal data, including the right to know and delete data held by businesses.
Mobile App Development
- Development Tools: Android Studio for Android apps and Xcode for iOS apps.
- APIs: Used for communication between apps and backend services or other apps.
Cloud Computing Benefits
- Benefits: Cost efficiency, scalability, flexibility, and disaster recovery.
- Deployment Types: Public, private, hybrid, and multi-cloud.
Blockchain
- Definition: A decentralized ledger technology that records transactions across numerous computers.
- Applications: Cryptocurrency, supply chain management, identity verification, and smart contracts.
- Challenges: Scalability, energy consumption, and regulatory concerns.
GDPR
- General Data Protection Regulation (GDPR): Implemented in the EU, it focuses on protecting personal data and the privacy of individuals.
Big Data
- Definition: Defined by its volume, velocity, and variety.
- Volume: Refers to the massive amounts of data generated daily.
- Velocity: The speed at which data is created and processed. Requires real-time or near-real-time processing capabilities.
- Variety: The diverse types of data, including structured, semi-structured, and unstructured data. Managing this variety poses significant challenges.
Hadoop
- Definition: An open-source framework allowing distributed storage and processing of massive datasets across multiple machines.
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Components:
- Hadoop Distributed File System (HDFS): Stores large files across multiple machines.
- MapReduce: A programming model for processing and generating large datasets.
- YARN (Yet Another Resource Negotiator): Manages and schedules resources in the Hadoop cluster.
Mobile Development Platforms
- iOS: Swift, Objective-C are the primary programming languages.
- Android: Java, Kotlin are the primary programming languages.
Data Analytics
- Definition: The process of inspecting, cleansing, transforming, and modeling data to discover useful information, draw conclusions, and support decision-making.
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Types of Analytics:
- Descriptive Analytics: Addresses "What has happened?" (e.g., sales reports).
- Diagnostic Analytics: Answers "Why did it happen?" (e.g., root cause analysis).
- Predictive Analytics: Addresses "What is likely to happen in the future?" (e.g., forecasting).
- Prescriptive Analytics: Addresses "What actions should be taken?" (e.g., recommendations based on data).
Data Analytics Applications
- Social Media: Platforms like Facebook and Twitter generate vast amounts of user-generated content that can be analyzed for trends, sentiments, and behaviors.
- IoT Devices: Devices like smart thermostats and wearable fitness trackers continuously generate data that can be analyzed for patterns and insights.
- Transaction Records: E-commerce and retail companies create large volumes of transaction data that can be analyzed to understand customer behavior, inventory management, and sales trends.
ETL (Extract, Transform, Load)
- Definition: A process used to integrate and prepare data from multiple sources for analytics.
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Steps:
- Extract: Retrieving data from various sources (databases, flat files, APIs).
- Transform: Cleaning and converting data into an appropriate format for analysis (normalization, aggregation, or enriching data).
- Load: Importing the transformed data into a data warehouse or data lake for analysis.
- Importance: ETL processes are essential for integrating data from diverse sources and preparing it for analytics, ensuring reliable and actionable data.
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Description
Test your knowledge on data protection rights, mobile app development tools, and the benefits of cloud computing. Explore topics like GDPR, CCPA, and blockchain applications. Perfect for students and professionals in technology and law.
