Noes on all topics.pdf

- Key Rights: Right to access, right to rectification, right to erasure (right to be forgotten), and data portability. - CCPA: California law giving residents more control over their personal data, including the right to know and delete personal information held by businesses. - Development Tools: A...

- Key Rights: Right to access, right to rectification, right to erasure (right to be forgotten), and data portability. - CCPA: California law giving residents more control over their personal data, including the right to know and delete personal information held by businesses. - Development Tools: Android Studio for Android apps, Xcode for iOS apps. - APIs: Used to enable communication between the app and backend services or other apps. - Benefits: Cost efficiency, scalability, flexibility, and disaster recovery. - Deployment Types: Public, private, hybrid, and multi-cloud. - Definition: Blockchain is a decentralized ledger technology that records transactions across many computers. - GDPR (General Data Protection Regulation): Enforced in the EU, focuses on protecting personal data and privacy of individuals. - Applications: Cryptocurrency, supply chain management, identity verification, and smart contracts. - Challenges: Scalability, energy consumption, and regulatory concerns. - Characteristics: Big Data is defined by its volume - Volume: Refers to the enormous amounts of data generated daily. Traditional databases struggle to handle such large volumes, necessitating 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. - Models: IaaS (infrastructure), PaaS (platform), SaaS (software). - 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 that allows for the distributed storage and processing of large datasets across clusters of computers. It uses a simple programming model (MapReduce) to handle massive amounts of data efficiently. - Components: - Hadoop Distributed File System (HDFS): For storing 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) and Android (Java, Kotlin). - Definition: Data analytics involves 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) - Social Media: Platforms like Facebook and Twitter generate vast amounts of user-generated content, which 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.  - 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. - Importance: ETL processes are crucial for integrating data from multiple sources and preparing it for analytics, ensuring that data is reliable and actionable.