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1
Intro
2
Agenda
3
Spark query lifecycle abstraction
4
Azure Data Lake Gen 2
5
Detecting
6
File Hierarchy
7
Demo
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Demo Summary
9
Outro
Description:
Explore the impact of small files on data pipeline performance in this 27-minute video from Databricks. Learn about the challenges posed by small files, particularly in Parquet format, across real-time, near-real-time, and batch processing jobs. Understand how cloud storage interacts with Apache Spark, delve into Parquet and Storage API calls, and discover why small files can degrade system performance. Gain insights into leveraging DeltaLake for a more efficient solution. Follow along with a comprehensive agenda covering Spark query lifecycle abstraction, Azure Data Lake Gen 2, file hierarchy detection, and a practical demonstration.

Degrading Performance - Understanding and Solving Small Files Syndrome

Databricks
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