Databricks and Lakehouse Platform Quiz
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Questions and Answers

What open-source storage framework enables you to build a lakehouse?

  • Apache Spark
  • Delta Lake (correct)
  • Photon engine
  • Intel Xeon Scalable processor

    • What is the purpose of Delta Lake?

  • To accelerate query processing
  • To provide a unified structure for data
  • To combine the best of data warehouses and data lakes
  • To enable the building of a lakehouse (correct)

    • What is the Lakehouse platform?

  • A cloud storage service
  • A data lake platform
  • A data warehouse platform
  • A unified structure that allows organizations to make the most of their data (correct)

    • True or false: The Databricks platform allows you to use Intel's optimized AI libraries.

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

    True or false: Databricks can be used to optimize the performance of open-source AI libraries?

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

    True or false: Using Intel's optimized AI libraries can lead to a 2x performance improvement.

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

    What is the maximum speed up improvement that can be achieved when using a 3rd Generation Intel Xeon Scalable processor with Photon?

    <p>6.7x</p> Signup and view all the answers

    What is the name of the open-source computing framework used by the Lakehouse platform?

    <p>Apache Spark</p> Signup and view all the answers

    True or false: Intel libraries offer an almost 108x improvement for algorithms within the Scikit-learn framework?

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

    What does the AI Kit provide?

    <p>A toolkit to accelerate end-to-end data science and analytics pipelines</p> Signup and view all the answers

    True or false: The Databricks platform is the only platform that can be used to override the default versions of AI libraries?

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

    True or false: It is possible to receive a 108x improvement in one of the algorithms within the Scikit-learn framework when using the Intel libraries.

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

    What is the benefit of using Intel Xeon Scalable processors with the Photon engine?

    <p>A 6.7x improvement in speed</p> Signup and view all the answers

    What is Intel SIMD?

    <p>Intel Single Instruction Multiple Data</p> Signup and view all the answers

    What is the purpose of the AI Kit?

    <p>To accelerate end-to-end data science and analytics pipelines on Intel architecture</p> Signup and view all the answers

    True or false: There was an average of 2x improvement when using Intel libraries for training and inference?

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

    What is the AI Kit?

    <p>A toolkit to accelerate end-to-end data science and analytics pipelines on Intel® architecture</p> Signup and view all the answers

    What is the gap between a data lake and data warehouse addressed from a technology and platform perspective?

    <p>Unified structure</p> Signup and view all the answers

    What is the benefit of using Intel's optimized libraries with the Databricks runtime for Machine Learning?

    <p>To integrate fast inference into AI development workflow</p> Signup and view all the answers

    What does the AI Kit allow users to do?

    <p>Integrate fast inference into AI development workflow</p> Signup and view all the answers

    Study Notes

    • Cloud storage is ubiquitous and well-defined, with the best cost structure of any data storage modes.

    • The Databricks Lakehouse platform is based on Apache Spark, which is known for its data warehouse capabilities.

    • The Lakehouse platform provides a unified structure that allows organizations to make the most of their data, as it sits in one environment.

    • The gap between a data lake and data warehouse exists in how they are addressed from a technology and platform perspective, and the Lakehouse platform tries to address this gap.

    • The Lakehouse platform combines the best of data warehouses and data lakes to provide a unified structure that allows organizations to make the most of their data.

    • Apache Spark is an open-source computing framework that unifies streaming, batch, and interactive big data workloads to unlock new applications.

    • Delta Lake is an open-source storage framework that enables you to build a lakehouse.

    • Databricks has developed the Photon engine to accelerate query processing.

    • Specifically, this is taking advantage of Intel Single Instruction Multiple Data (Intel SIMD) and Intel Advanced Vector Extensions (Intel AVX) capabilities with Intel Xeon scalable processors.

    • Businesses care about time to insights whether to generate Adhoc reports based on historical data or to predict the outcomes using AI/ML.

    • As the data volume grows, it’s important to pick the right compute options to serve various workload patterns and accelerate processing.

    • Delta Lake is an open-source storage framework that enables you to build a lakehouse.

    • Databricks has developed the Photon engine to accelerate query processing.

    • When you enable Photon without changing the processor, you get some speed up. When you move to a newer generation processor, you get a much higher speed up.

    • For example, when you use 3rd Generation Intel Xeon ScaIable processors formerly codenamed Ice lake processors, you get up to 6.7x improvement.

    • There is a 3.1x price performance improvement when migrating from an older generation Intel processor without Photon to a 3rd Generation Intel Xeon Scalable processor with Photon.

    • The Databricks platform allows for a unified experience to enable various use cases, including AI.

    • By leveraging Intel's optimized libraries with the Databricks runtime for Machine Learning, I'll explain how it can accelerate the processing times.

    • The AI Kit gives data scientists, AI developers, and researchers familiar with Python* tools and frameworks to accelerate end-to-end data science and analytics pipelines on Intel® architecture.

    • Using this toolkit, you can Deliver high-performance, deep learning training on Intel® XPUs and integrate fast inference into your AI development workflow with Intel®-optimized, deep learning frameworks for TensorFlow* and PyTorch*, pre-trained models, and low-precision tools.

    • And Gain direct access to analytics and AI optimizations from Intel to ensure that your software works together seamlessly.

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    Description

    Test your knowledge of Databricks, Apache Spark, Delta Lake, and the Lakehouse platform with this quiz. Explore topics such as data warehouse capabilities, storage frameworks, query processing acceleration, and use cases for AI and machine learning.

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