Databricks and Lakehouse Platform Quiz

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.