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Azure Databricks Learning: Performance Optimization: Spark/Databricks Interview Question Series - II ...

Learn PySpark, an interface for Apache Spark in Python. PySpark is often used for large-scale data processing and machine ...

Introduction to Catalyst Optimizer Purpose and logical architecture of Catalyst Optimizer Logical and Physical plan selection and ...

Nowadays, Spark is widely adopted in the big enterprise by handling the large volume of data. In PayPal, more and more complex ...

You've seen the technical deep dives on Spark's Catalyst query optimizer. You understand how to fix joins, how to find common ...

The SQL tab in the Spark UI provides a lot of information for analysing your spark queries, ranging from the query plan, to all ...

These are black boxes for Spark optimizer, blocking several helpful optimizations like WholeStageCodegen, Null optimization etc.

Over the last year, we have added a series of optimizations in Apache Spark to solve the above problems for Parquet.

Spark SQL provides a convenient layer of abstraction for users to express their query's intent while letting Spark handle the more ...

Over the last year, we've added a series of optimizations in Spark to improve parquet pushdown performance. We developed a ...

Boosting Apache Spark Performance with Small JSON Files in Microsoft Fabric. Learn how to achieve a 10x performance ...

Examples of these cost-based optimizations include choosing the right join type (broadcast-hash-join vs. sort-merge-join), ...

Speed up slow pandas/python code by 2500x using this simple trick. Face it, your pandas code is slow. Learn how to speed it up!

This is a video on how to get started with TPCDS_PySpark ...

Learn about RDDs, DataFrames, optimization techniques, and more, with detailed explanations and practical examples tailored to ...

The Delta Architecture pattern has made the lives of data engineers much simpler, but what about improving query performance ...

One of the most significant benefits provided by Databricks Delta is the ability to use z-ordering and dynamic file pruning to ...

This talk will break down merge in Delta Lake—what is actually happening under the hood—and then explain about how you can ...

In rapidly changing conditions, many companies build ETL pipelines using ad-hoc strategy. Such an approach makes automated ...

Notebooks are a great tool for Big Data. They have drastically changed the way scientists and engineers develop and share ideas ...