Chapter 4 Building a Modern Cloud Data Platform with Databricks
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Questions and Answers

What makes it challenging to combine appends and reads, and batch and streaming jobs?

  • The lack of consistency and isolation of data lakes (correct)
  • The optimization of data warehouses for structured data
  • The need for flexibility in data management systems
  • The requirement for real-time monitoring and SQL analytics

    • What has been a consequence of the limitations of data lakes?

  • The development of more specialized systems for diverse data applications
  • The loss of benefits of data warehouses (correct)
  • The reduction of the need for high-performance data management systems
  • The materialization of all the promises of data lakes

    • What is the primary drawback of the data warehouse approach?

  • High operational cost and scalability
  • Vendor lock-in and limited data formats (correct)
  • Inability to handle large amounts of data
  • Lack of competitiveness and reputation

    • What type of data are recent advances in AI primarily focused on processing?

    <p>Unstructured data</p> Signup and view all the answers

    What is a common approach to address the increasing needs of data management?

    <p>Using multiple systems, including data lakes, data warehouses, and specialized systems</p> Signup and view all the answers

    What is the main advantage of the lakehouse approach?

    <p>Cost-effective and scalable</p> Signup and view all the answers

    Why is scalability essential in DM solutions?

    <p>It contributes to competitiveness, efficiency, reputation, and quality</p> Signup and view all the answers

    What is a drawback of using multiple systems for data management?

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

    What is the primary benefit of using a single, unified data management system?

    <p>Reduced complexity and delays in data movement</p> Signup and view all the answers

    What is the primary reason for companies being forced to create multiple data copies?

    <p>To make data accessible to other third-party systems</p> Signup and view all the answers

    What is the characteristic of data storage in a lakehouse?

    <p>Stored in open data formats</p> Signup and view all the answers

    Why is the data warehouse approach less cost-efficient?

    <p>Due to high operational cost and vendor lock-in</p> Signup and view all the answers

    What is a key benefit of using a lakehouse for data analytics and machine learning?

    <p>Unifying all data and running analytics and ML in a single place</p> Signup and view all the answers

    What is one of the challenges that a lakehouse approach can overcome?

    <p>Data becoming stale</p> Signup and view all the answers

    What does a lakehouse approach provide in terms of data access?

    <p>Complete and firm copy of all data in a centralized location</p> Signup and view all the answers

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

    <p>Easy movement of data to a different vendor or technology</p> Signup and view all the answers

    What is one of the benefits of unifying data teams in a lakehouse approach?

    <p>All data teams can work together on one architecture</p> Signup and view all the answers

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

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

    What benefits does the lakehouse approach provide in terms of data reliability?

    <p>ACID transaction with atomicity, consistency, isolation, and durability guarantees</p> Signup and view all the answers

    What is a characteristic of the lakehouse approach to data pipelines?

    <p>It enables real-time analytics with streaming data</p> Signup and view all the answers

    What is the purpose of Delta Lake in the lakehouse approach?

    <p>To bring data reliability to an existing data lake</p> Signup and view all the answers

    What is a benefit of the streamlined data pipeline setup in the lakehouse approach?

    <p>Reduced compute times and costs with scalable cloud runtime</p> Signup and view all the answers

    What is a characteristic of the Spark clusters used in the lakehouse approach?

    <p>They are highly optimized</p> Signup and view all the answers

    What is the purpose of the lakehouse approach?

    <p>To provide modern data engineering best practices for improved productivity, system stability, and data reliability</p> Signup and view all the answers

    What type of transactions are necessary to ensure that multiple data pipelines can read and write data reliably on the same table?

    <p>ACID transactions</p> Signup and view all the answers

    What type of data processing is enabled by Delta Lake across batch and streaming?

    <p>Unified streaming and batch data processing</p> Signup and view all the answers

    What is the primary goal of creating a central source of truth for business intelligence applications?

    <p>To have a single source of truth for BI applications</p> Signup and view all the answers

    What is a common challenge faced by companies in business intelligence?

    <p>Data is incomplete and stale in a data warehouse</p> Signup and view all the answers

    What is the benefit of using Delta Lake for data reliability?

    <p>It enables data reliability across batch and streaming</p> Signup and view all the answers

    What is the result of having a central source of truth for business intelligence applications?

    <p>End-users receive complete, reliable, and up-to-date data</p> Signup and view all the answers

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