AI Databricks data Engineering in 30 seconds| Read parquet file in Databricks #ai #datascience

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AI Databricks data Engineering in 30 seconds| Read parquet file in Databricks #ai #datascience

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47 Views • Jul 18, 2023 • Click to toggle off description

Databricks is a cloud-based data engineering platform that provides tools and services for processing and analyzing large volumes of data. It is designed to handle the end-to-end data engineering process, from data ingestion and transformation to data storage and analysis.

Data engineering in Databricks involves various tasks related to managing and processing data. The platform offers a unified workspace where data engineers can collaborate and work on their data pipelines and workflows. It provides a range of features and capabilities that make it easier to develop, deploy, and maintain data engineering solutions.

One of the key components of Databricks is Apache Spark, an open-source distributed computing framework that provides high-performance data processing capabilities.

Key Tags:

#Databricks
#DataEngineering
#DataAnalytics
#BigData
#ETL
#DataPipeline
#ApacheSpark
#CloudComputing
#DataLake
#DataIntegration
Hashtags:

#DatabricksDataEngineering
#DataEngineeringTutorial
#BigDataAnalytics
#DataEngineeringTips
#CloudDataEngineering
#SparkETL
#DataLakeArchitecture
#DataPipelineDesign
#DataOps
#DataInfrastructure

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