Databricks - What are Materialized Views || Speed up your Lakeview dashboards

In this tutorial, you will learn "What are Materialized Views in Databricks and How you can use them to speed up your Lakeview dashboards?k" in DataBricks. For this I used PySpark runtime.

Data integrity refers to the quality, consistency, and reliability of data throughout its life cycle. Data engineering pipelines are methods and structures that collect, transform, store, and analyse data from many sources.

Databricks’ materialized views address these challenges by providing precomputed, cached views that can be queried for faster performance. The materialized view will be pre-computed and then since you are just sharing the materialized views with your users you do not have to worry about them abusing queries on the table. And if you are on serverless you can have incremental updates to the materialized view.

Here’s how they can enhance your analytics:

1️⃣ Reduced Query Latency: By precomputing and storing query results, materialized views significantly reduce the time it takes to load dashboards.

2️⃣ Efficient Data Updates: Materialized views can be refreshed incrementally, ensuring your dashboards reflect the latest data without the need for full recomputation.

3️⃣ Simplified Querying: Instead of writing complex queries for each dashboard view, you can use materialized views to simplify the querying process.

Data Cleansing OR Data Scrubbing Process 🚀Significantly impacts the quality, 🚀Efficiency, 🚀Effectiveness of data utilization, 🚀Ensuring data is accurate, 🚀Consistent, and Compliant, 🚀Facilitating a unified view of the information,
🚀Enhancing overall data interoperability, 🚀Foundation for Robust Data Analytics and 🚀Root for Reliable Decision-Making

0:00 Introduction 1:30 Import PySpark Libraries and Compute Cluster 2:50 Create UDF Function 3:52 Build Sample data with Accented Characters 5:00 Call UDF Function to Replace Accented letters into Non-Accented_Name column

⭐To learn more, please follow us - http://www.sql-datatools.com ⭐To Learn more, please visit our YouTube channel at - http://www.youtube.com/c/Sql-datatools ⭐To Learn more, please visit our Instagram account at - https://www.instagram.com/asp.mukesh/ ⭐To Learn more, please visit our twitter account at - https://twitter.com/macxima ⭐To Learn more, please visit our Medium account at - https://medium.com/@macxima ... https://www.youtube.com/watch?v=QdYuzBy8YbU