Data Frame
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What is Data Frame?
A Data Frame is a two-dimensional, labeled data structure with columns of potentially different types. It is similar to a spreadsheet or SQL table. Data Frames are commonly used for data analysis, manipulation, and cleaning, particularly in statistics, machine learning, and data science. Libraries like pandas in Python and data.table in R provide powerful tools for working with Data Frames.
What other technologies are related to Data Frame?
Data Frame Competitor Technologies
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Data Frame Complementary Technologies
Spark SQL
Spark SQL enables the use of SQL queries on Spark DataFrames, making it strongly complementary.
Parquet
Parquet is a columnar storage format commonly used with DataFrames for efficient data storage and retrieval, so it is a strong complement.
AWS Glue
AWS Glue is a fully managed ETL service that can be used to prepare data for analysis using Spark DataFrames, which can be stored in an AWS data warehouse like Redshift. Therefore, it is complementary.
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Which job functions commonly mention Data Frame?
Data Engineer
64 Data Engineer jobs mention Data Frame
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Cloud Architect
2 Cloud Architect jobs mention Data Frame
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Software Engineer
104 Software Engineer jobs mention Data Frame
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jobs on Sumble
Engineer
109 Engineer jobs mention Data Frame
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jobs on Sumble
Engineering & R&D
114 Engineering & R&D jobs mention Data Frame
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jobs on Sumble
Which organizations are mentioning Data Frame?
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