11.2.2 Tools and platforms

• What are data analytics tools used for?

  Analyze complex data sets
• Data analytics tools enable data mining, data processing, and data visualization. visualization
• What is Apache Mahout primarily used for in data analytics?

  Pattern discovery
• Apache Hadoop and Spark are used for large-scale data processing in data analytics.
• Match the data analytics tool with its primary function:

  Apache Mahout ↔️ Pattern discovery

  Apache Hadoop ↔️ Large-scale data processing

  Tableau ↔️ Data visualization
• Why is Apache Hadoop considered a key tool in big data analytics?

  Processes large datasets
• Data analytics tools enable data mining, data processing, and data visualization
• What is the purpose of data analytics platforms?

  Support data analysis
• Apache Hadoop is a data analytics platform known for its distributed storage and processing capabilities.
• What is the main use case of Google Cloud AI Platform?

  AI and ML model development
• Match the data analytics platform with its primary use case:

  Apache Hadoop ↔️ Large-scale data processing

  Google Cloud AI Platform ↔️ AI and ML model deployment

  Microsoft Azure Analytics ↔️ Real-time data analysis
• Google Cloud AI Platform is used for building, deploying, and managing machine learning models at scale
• Data analytics platforms often include capabilities for data mining, data processing, and data visualization to support analysis
• Apache Hadoop is primarily used for large-scale data processing.
• Google Cloud AI Platform is used for machine learning and model deployment
• Microsoft Azure Analytics provides integrated analytics services for real-time data analysis.
• Google Cloud AI Platform is a key tool for organizations leveraging AI
• Data analytics platforms build upon the capabilities of data analytics tools
• Apache Hadoop handles large datasets across a cluster of computers.
• Google Cloud AI Platform allows users to build, train, and deploy machine learning models
• Microsoft Azure Analytics provides business intelligence and real-time data analysis.
• Microsoft Azure Analytics can be used to analyze customer behavior and sales trends
• Apache Mahout is a data mining tool used for discovering patterns
• Apache Spark is used for large-scale data processing alongside Apache Hadoop.
• Tableau and Power BI are examples of data visualization tools
• What are data analytics tools used for?

  Analyzing and interpreting data
• Data analytics tools enable data mining, data processing, and data visualization
• Apache Hadoop is a key tool for big data analytics because it processes large datasets across a cluster of computers.
• Match the data analytics platform with its key feature:

  Apache Hadoop ↔️ Distributed storage and processing

  Google Cloud AI Platform ↔️ Machine learning model deployment

  Microsoft Azure Analytics ↔️ Integrated analytics service
• Google Cloud AI Platform is used for building, deploying, and managing machine learning models at scale.
• What three capabilities do data analytics platforms offer?

  Data mining, processing, visualization
• Order the following platforms based on their primary use:

  1️⃣ Apache Hadoop: Handles large datasets across a cluster

  2️⃣ Google Cloud AI Platform: Develops and deploys machine learning models

  3️⃣ Microsoft Azure Analytics: Provides real-time data analysis
• Microsoft Azure Analytics can analyze customer behavior in real time to improve business strategies.
• What is the primary focus of data analytics tools?

  Specific analytics tasks
• Data analytics platforms offer broader capabilities including storage, processing, and integration
• Tableau is a data visualization tool, while Apache Hadoop is a platform for distributed storage and processing.
• What is the key purpose of data mining tools?

  Extracting patterns and trends
• Match the data analytics tool category with its example:

  Data Mining ↔️ Apache Mahout

  Data Processing ↔️ Apache Spark

  Data Visualization ↔️ Tableau
• What is one key functionality of Microsoft Azure Analytics?

  Real-time data analysis
• Data analytics tools are generally cheaper and easier to use compared to data analytics platforms.