Databricks Performance Optimization - Portuguese BR
Neste curso, você aprenderá a otimizar cargas de trabalho com Spark e Delta Lake e analisar o Spark UI para avaliar desempenho e depurar aplicativos. Abordaremos tópicos como transmissão, Liquid Cluster, omissão de dados, cache, Photon e muito mais.
Nota: Este curso faz parte da série de cursos "Data Engineering Avançada com o Databricks".
Languages Available: English | 日本語 | Português BR | 한국어
The content was developed for participants with these skills/knowledge/abilities:
- Ability to perform basic code development tasks using Databricks (create clusters, run code in notebooks, use basic notebook operations, import repos from git, etc.)
- Intermediate programming experience with PySpark
- Extract data from a variety of file formats and data sources
- Apply a number of common transformations to clean data
- Reshape and manipulate complex data using advanced built-in functions
- Intermediate programming experience with Delta Lake (create tables, perform complete and incremental updates, compact files, restore previous versions, etc.)
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Custom-fit learning paths for data, analytics, and AI roles and career paths through on-demand videos
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