Chapter 5 Ten Reasons Why You Need a Lakehouse Approach
30 Questions
1 Views

Choose a study mode

Play Quiz
Study Flashcards
Spaced Repetition
Chat to Lesson

Podcast

Play an AI-generated podcast conversation about this lesson

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 (B)</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 (C)</p> Signup and view all the answers

What is a consequence of using multiple data systems?

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

What is the primary benefit of a lakehouse approach?

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

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

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

How does a lakehouse approach update tables and dashboards?

<p>In a continuous manner (A)</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 (B)</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 (A)</p> Signup and view all the answers

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

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

What is the greatest challenge in reproducing ML results?

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

What is a major risk associated with ML environments?

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

What is a key challenge in managing ML environments?

<p>Managing disparate tools and process steps (A)</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 (C)</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 (A)</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 (A)</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 (C)</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 (C)</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 (C)</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 (B)</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 (D)</p> Signup and view all the answers

What is the purpose of Databricks Ingest?

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

What is a characteristic of Delta Lake?

<p>It is an open-source storage layer (B)</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 (A)</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 (A)</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 (D)</p> Signup and view all the answers

More Like This

Use Quizgecko on...
Browser
Browser