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Databricks_Lab: Access Metadata using PyArrow Open Source Library
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LAB: How to Access Meta data information using PyArrow open Source Library?
Use case Scenario: Metadata is super useful- when we process Parquet Files for Analytical work Loads
Key Concepts:
PyArrow is in open source Python Library that provide Interface to Apache Arrow
Fast/Efficient Processing- enable us to process Large data sets
Apache Parquet:
Open Source Columnar Storage Format
Parquet file consists of multiple Row Groups
Apache Arrow:
In memory Columnar Format & In Memory Transport Layer
High Performance Applications & process Large Data Sets
pyarrow.Table format concatenate all row Groups into Single Table
snowflake interview
snowflake streams and tasks
snowflake scenario based interview questions
databricks training videos
real time research project
snowflake data engineering interview
snowflake tutorial series
real time projects
databricks optimization techniques
snowflake example
snowflake data science
how to use snowflake
#snowflake interview
#snowflake streams and tasks
#snowflake scenario based interview questions
#databricks training videos
#real time research project
#snowflake data engineering interview
#snowflake tutorial series
#real time projects
#databricks optimization techniques
#snowflake example
#snowflake data science
#how to use snowflake
#snowflakeinterview
#snowflakestreamsandtasks
#snowflakescenariobasedinterviewquestions
#databrickstrainingvideos
#realtimeresearchproject
#snowflakedataengineeringinterview
#snowflaketutorialseries
#realtimeprojects
#databricksoptimizationtechniques
#snowflakeexample
#snowflakedatascience
#howtousesnowflake
Use case Scenario: Metadata is super useful- when we process Parquet Files for Analytical work Loads
Key Concepts:
PyArrow is in open source Python Library that provide Interface to Apache Arrow
Fast/Efficient Processing- enable us to process Large data sets
Apache Parquet:
Open Source Columnar Storage Format
Parquet file consists of multiple Row Groups
Apache Arrow:
In memory Columnar Format & In Memory Transport Layer
High Performance Applications & process Large Data Sets
pyarrow.Table format concatenate all row Groups into Single Table
snowflake interview
snowflake streams and tasks
snowflake scenario based interview questions
databricks training videos
real time research project
snowflake data engineering interview
snowflake tutorial series
real time projects
databricks optimization techniques
snowflake example
snowflake data science
how to use snowflake
#snowflake interview
#snowflake streams and tasks
#snowflake scenario based interview questions
#databricks training videos
#real time research project
#snowflake data engineering interview
#snowflake tutorial series
#real time projects
#databricks optimization techniques
#snowflake example
#snowflake data science
#how to use snowflake
#snowflakeinterview
#snowflakestreamsandtasks
#snowflakescenariobasedinterviewquestions
#databrickstrainingvideos
#realtimeresearchproject
#snowflakedataengineeringinterview
#snowflaketutorialseries
#realtimeprojects
#databricksoptimizationtechniques
#snowflakeexample
#snowflakedatascience
#howtousesnowflake