Data Privacy Rights and Development Tools
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Questions and Answers

Which type of analytics focuses on understanding past events?

  • Descriptive Analytics (correct)
  • Predictive Analytics
  • Diagnostic Analytics
  • Prescriptive Analytics

    • Which of the following best describes the role of predictive analytics?

  • Analyzing historical data to identify trends
  • Determining the causes of specific events
  • Suggesting actions based on various scenarios
  • Forecasting future outcomes based on data patterns (correct)

    • What does the 'Transform' stage in ETL processes primarily involve?

  • Collecting data from different sources
  • Cleaning and converting data for analysis (correct)
  • Archiving data for future reference
  • Presenting data in a visual format

    • Which of the following is a primary benefit of ETL processes?

    <p>Integrating data from various sources for reliable analysis</p> Signup and view all the answers

    What is the focus of prescriptive analytics?

    <p>Generating recommendations based on data analysis</p> Signup and view all the answers

    What are the key rights provided under data protection regulations?

    <p>Right to access, right to rectification, right to erasure, data portability</p> Signup and view all the answers

    Which of the following accurately describes CCPA?

    <p>California law giving residents control over their personal data</p> Signup and view all the answers

    What are some notable challenges presented by Big Data?

    <p>Scalability, energy consumption, regulatory concerns</p> Signup and view all the answers

    Which deployment type includes the use of both on-premises and cloud resources?

    <p>Hybrid cloud</p> Signup and view all the answers

    What is one primary function of Hadoop's YARN?

    <p>To manage and schedule resources in the Hadoop cluster</p> Signup and view all the answers

    Which of the following best describes the concept of 'data portability'?

    <p>The right to transfer personal data between services</p> Signup and view all the answers

    What are the primary components of Hadoop?

    <p>HDFS, MapReduce, YARN</p> Signup and view all the answers

    Which model is utilized to represent software applications over the internet?

    <p>SaaS</p> Signup and view all the answers

    Study Notes

    Key Rights

    • Right to access: Individuals have the right to access their personal data stored by organizations.
    • Right to rectification: Individuals can request the correction of inaccurate or incomplete personal data.
    • Right to erasure (right to be forgotten): Under certain conditions, individuals can request the deletion of their personal data.
    • Data portability: Individuals can receive their personal data in a portable format and transfer it to another organization.

    CCPA (California Consumer Privacy Act)

    • Gives California residents more control over their personal data.
    • Includes the right to know what personal information businesses hold about them and the right to delete that information.

    Development Tools

    • Android Studio: Used for developing Android apps.
    • Xcode: Used for developing iOS apps.

    APIs (Application Programming Interfaces)

    • Enable communication between apps and backend services or other apps.

    Cloud Computing Benefits

    • Cost efficiency: Pay-as-you-go model reduces upfront infrastructure costs.
    • Scalability: Easily adjust resources based on demand.
    • Flexibility: Access a wide range of services and tools.
    • Disaster recovery: Data redundancy and backups enhance resilience.

    Deployment Types

    • Public cloud: Services provided by third-party providers (e.g., AWS, Azure, Google Cloud).
    • Private cloud: Services hosted within an organization's own data center.
    • Hybrid cloud: Combining public and private cloud services.
    • Multi-cloud: Using multiple cloud providers.

    Blockchain

    • A decentralized ledger technology that records transactions across many computers.

    GDPR (General Data Protection Regulation)

    • Enforced in the EU to protect the personal data and privacy of individuals.

    Blockchain Applications

    • Cryptocurrency: Facilitating secure and transparent transactions.
    • Supply chain management: Tracking goods and materials throughout the supply chain.
    • Identity verification: Verifying identities securely and efficiently.
    • Smart contracts: Automating agreements and transactions.

    Blockchain Challenges

    • Scalability: Handling a growing number of transactions.
    • Energy consumption: High energy consumption for certain blockchain networks.
    • Regulatory concerns: Existing regulatory frameworks may not fully address blockchain technology.

    Big Data

    • Characterized by its volume, velocity, and variety.

    Volume

    • Refers to the enormous amounts of data generated daily.
    • Traditional databases struggle to handle such large volumes, requiring specialized technologies.

    Velocity

    • The speed at which data is created and processed.
    • Data flows in at unprecedented rates, requiring real-time or near-real-time processing capabilities.

    Variety

    • The different types of data, including structured data (like databases), semi-structured data (like XML), and unstructured data (like text, images, and videos).
    • Managing this variety poses significant challenges in data integration and analysis.

    Hadoop

    • An open source framework for distributed storage and processing of large datasets.
    • Uses a simple programming model (MapReduce) to handle massive amounts of data efficiently.

    Hadoop 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: Uses Swift and Objective-C programming languages.
    • Android: Uses Java and Kotlin programming languages.

    Data Analytics

    • Inspecting, cleansing, transforming, and modeling data to discover useful information, draw conclusions, and support decision-making.

    Types of Analytics

    • Descriptive Analytics: What has happened? (e.g., sales reports).
    • Diagnostic Analytics: Why did it happen? (e.g., root cause analysis).
    • Predictive Analytics: What is likely to happen in the future? (e.g., forecasting).
    • Prescriptive Analytics: What actions should be taken? (e.g., recommendations based on data).

    Data Sources

    • 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 produce continuous streams of data that can be analyzed for patterns and insights.
    • Transaction Records: E-commerce and retail businesses create large volumes of transaction data, which can provide insights into customer behavior, inventory management, and sales trends.

    ETL (Extract, Transform, Load)

    • Extract: Retrieving data from various sources (databases, flat files, APIs).
    • Transform: Cleaning and converting data into a suitable format for analysis (e.g., normalizing, aggregating, or enriching data).
    • Load: Importing the transformed data into a data warehouse or data lake for analysis.

    ETL Importance

    • ETL processes are crucial for integrating data from multiple sources and preparing it for analytics, ensuring that data is reliable and actionable.

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    Related Documents

    Data Analytics Noes on All Topics PDF

    Description

    This quiz covers key rights related to personal data access and the implications of the California Consumer Privacy Act (CCPA). Additionally, it explores development tools like Android Studio and Xcode, along with a brief overview of APIs. Test your knowledge on data privacy and app development!

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