Chapter 3 Capturing the Value of the Lakenhouse Approach
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Questions and Answers

What is a key difference between a data warehouse and a lakehouse?

  • The time period they were introduced
  • The type of data they handle (correct)
  • The level of vendor lock-in
  • The structure of their architecture

    • What is vendor lock-in a result of?

  • Storing data in a data warehouse
  • Storing data in a data lake
  • Using proprietary formats to store data (correct)
  • Using open-source formats to store data

    • What is a major difference between a data lake and a lakehouse?

  • The type of data they handle
  • Their architecture is fundamentally different (correct)
  • The level of vendor lock-in
  • The time period they were introduced

    • What is the primary advantage of using a lakehouse over a data warehouse?

    <p>Handling structured, semi-structured, and unstructured data</p> Signup and view all the answers

    When was the lakehouse approach introduced?

    <p>2020</p> Signup and view all the answers

    What is a major challenge in the current data landscape?

    <p>Vendor lock-in and high operational costs</p> Signup and view all the answers

    What is the primary advantage of a lakehouse approach?

    <p>Unifying all data teams and allowing them to run analytics and ML in a single place</p> Signup and view all the answers

    What is a key benefit of using a lakehouse approach in terms of data freshness?

    <p>It can process batch and streaming data in a continuous manner, updating tables and dashboards in near real-time</p> Signup and view all the answers

    According to the lakehouse approach, where is the complete and firm copy of all data stored?

    <p>In a centralized location, accessible by all teams</p> Signup and view all the answers

    What is a benefit of the lakehouse approach in terms of vendor lock-in?

    <p>It uses open formats and open standards, making it easy to move data to a different vendor or technology</p> Signup and view all the answers

    What is a challenge that can be overcome with a lakehouse approach?

    <p>Unifying data teams and facilitating the breaking of data silos</p> Signup and view all the answers

    What is a key advantage of a lakehouse approach in terms of data management?

    <p>It enables the management of both structured and unstructured data</p> Signup and view all the answers

    What can compromise data integrity in a data lake?

    <p>Concurrent data pipelines</p> Signup and view all the answers

    What is a common outcome of complex and inefficient data pipeline setups?

    <p>Unreliable data processing jobs</p> Signup and view all the answers

    What can cause expensive overhead costs and limited workload scalability in data pipelines?

    <p>Static infrastructure resources</p> Signup and view all the answers

    What is a common challenge in processing both batch and streaming data jobs?

    <p>Meeting requirements for streaming data</p> Signup and view all the answers

    What can result from manual cleanup and reprocessing after failed data processing jobs?

    <p>Lead time delay</p> Signup and view all the answers

    What is the outcome of nonscalable processes with tight dependencies, complex workflows, and system downtime?

    <p>Undesirable for any company</p> Signup and view all the answers

    What is a primary reason behind the emergence of lakehouse architecture?

    <p>To address the limitations and complexity of separate stacks for business intelligence and machine learning</p> Signup and view all the answers

    What is a key feature of a lakehouse in terms of its data structures and management?

    <p>It uses similar data structures and data management features to those in a data warehouse, but on a different type of storage</p> Signup and view all the answers

    What is a primary benefit of using a lakehouse architecture?

    <p>It enables users to do everything from BI, SQL analytics, data science, and ML on a single platform</p> Signup and view all the answers

    What is a characteristic of a lakehouse in terms of its storage requirements?

    <p>It uses low-cost object storage, similar to data lakes</p> Signup and view all the answers

    What is the primary goal of the lakehouse approach in terms of data management?

    <p>To create a single platform for all data management needs</p> Signup and view all the answers

    What is the relationship between lakehouses and data warehouses in terms of their design?

    <p>A lakehouse is a redesign of a data warehouse, but with modern storage capabilities</p> Signup and view all the answers

    What is a major challenge in managing ML environments?

    <p>The diversity of ML frameworks</p> Signup and view all the answers

    What makes handoffs difficult to manage efficiently between teams?

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

    What is a built-in risk from a security and compliance perspective?

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

    What is a challenge in ML due to tracking difficulties?

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

    What is a key benefit of the lakehouse approach?

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

    What is a feature of the lakehouse approach?

    <p>One-click access to pre-configured clusters</p> Signup and view all the answers

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