Chapter 5 Ten Reasons Why You Need a Lakehouse Approach
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Questions and Answers

What is a major challenge in data lakes that makes it difficult to combine appends and reads, and batch and streaming jobs?

  • Inadequate data processing models
  • Insufficient data storage capacity
  • Lack of consistency and isolation (correct)
  • Poor data visualization tools

    • What has been the impact of data lakes on the benefits of data warehouses?

  • They have transformed data warehouses
  • They have increased the benefits
  • They have led to a loss of benefits (correct)
  • They have had no effect

    • What is a current requirement in data management systems?

  • Only SQL analytics
  • Low-performance systems
  • Flexible, high-performance systems (correct)
  • Only real-time monitoring

    • What type of data are recent advances in AI better suited for?

    <p>Unstructured data like text, images, video, and audio</p> Signup and view all the answers

    Why do companies often use multiple data systems?

    <p>To address the increasing needs of diverse data applications</p> Signup and view all the answers

    What is a consequence of using multiple data systems?

    <p>Additional complexity and delayed data movement</p> Signup and view all the answers

    What is the primary benefit of a lakehouse approach?

    <p>Unifying all data teams</p> Signup and view all the answers

    What type of data can be managed with a lakehouse approach?

    <p>Both structured and unstructured data</p> Signup and view all the answers

    How does a lakehouse approach update tables and dashboards?

    <p>In a continuous manner</p> Signup and view all the answers

    What is the result of a lakehouse approach in terms of data freshness?

    <p>Data is always generating value</p> Signup and view all the answers

    What is the advantage of using open formats and open standards in a lakehouse approach?

    <p>Reduces the risk of vendor lock-in</p> Signup and view all the answers

    What is the primary challenge that a lakehouse approach can overcome?

    <p>Unifying data teams</p> Signup and view all the answers

    What is the primary reason why most companies struggle to effectively utilize ML frameworks?

    <p>Organizational and technological silos</p> Signup and view all the answers

    What is the greatest challenge in reproducing ML results?

    <p>Tracking experiments, models, dependencies, and artifacts</p> Signup and view all the answers

    What is the primary benefit of the lakehouse approach for data science?

    <p>Quick access to clean and reliable data</p> Signup and view all the answers

    What is a major risk associated with ML environments?

    <p>Data dependency and security concerns</p> Signup and view all the answers

    What is a key challenge in managing ML environments?

    <p>Managing disparate tools and process steps</p> Signup and view all the answers

    What is a major consequence of the lack of model transparency in ML environments?

    <p>Increased risk of security breaches</p> Signup and view all the answers

    What is the primary benefit of a unified and simplified architecture in a lakehouse approach?

    <p>Enhanced data reliability through ACID transactions and data quality guarantees</p> Signup and view all the answers

    What is the main advantage of using optimized Spark clusters in a lakehouse approach?

    <p>Reduced compute times and costs</p> Signup and view all the answers

    What is the purpose of the Bronze stage in the data pipeline setup of a lakehouse approach?

    <p>To filter and clean raw data</p> Signup and view all the answers

    What is the primary benefit of using Delta Lake in a lakehouse approach?

    <p>Bringing data reliability to existing data lakes</p> Signup and view all the answers

    What is the primary advantage of using a lakehouse approach for data pipelines?

    <p>Improved productivity, system stability, and data reliability</p> Signup and view all the answers

    What is the primary characteristic of a lakehouse approach that enables reliable real-time analytics?

    <p>Streaming data to enable real-time analytics</p> Signup and view all the answers

    What is a primary benefit of using Delta Lake on Databricks?

    <p>It provides optimized layouts and indexes for fast, interactive queries</p> Signup and view all the answers

    What is the purpose of Databricks Ingest?

    <p>To load data into a lakehouse quickly and easily</p> Signup and view all the answers

    What is a characteristic of Delta Lake?

    <p>It is an open-source storage layer</p> Signup and view all the answers

    What is the relationship between Delta Lake and Apache Spark APIs?

    <p>Delta Lake is fully compatible with Apache Spark APIs</p> Signup and view all the answers

    What is the primary problem that Delta Lake addresses in data lakes?

    <p>Data lakes have data reliability problems</p> Signup and view all the answers

    What is the purpose of the figure shown in the text?

    <p>To demonstrate how Delta Lake runs on top of existing data lakes</p> Signup and view all the answers

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