Spark SQL
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What is Spark SQL?
Spark SQL is a distributed query engine built on top of Apache Spark for processing structured data. It allows users to query data using SQL or DataFrame API, offering seamless integration between SQL and Spark programs. It's commonly used for large-scale data analysis, ETL (Extract, Transform, Load) processes, and business intelligence applications, supporting various data sources like Hive, Parquet, JSON, and JDBC.
What other technologies are related to Spark SQL?
Spark SQL Competitor Technologies
Impala
Impala is a parallel SQL engine for Hadoop, offering an alternative for querying data stored in HDFS and other data sources with SQL.
Azure Synapse
Azure Synapse Analytics is a data warehouse service that offers similar SQL query capabilities on large datasets as Spark SQL.
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Spark SQL Complementary Technologies
PySpark
PySpark is the Python API for Spark, enabling users to interact with Spark SQL using Python.
DataFrames
Spark SQL's DataFrame API provides a structured data abstraction for processing data.
Hive
Spark SQL can read data from and write data to Hive, and execute HiveQL queries. It leverages Hive's metastore.
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Which job functions commonly mention Spark SQL?
Data Engineer
2.1% of all Data Engineer jobs mention Spark SQL
View 6k
jobs on Sumble
Software Engineer
0.2% of all Software Engineer jobs mention Spark SQL
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jobs on Sumble
Data, Analytics & Machine Learning
0.2% of all Data, Analytics & Machine Learning jobs mention Spark SQL
View 3.1k
jobs on Sumble
Engineer
0.1% of all Engineer jobs mention Spark SQL
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jobs on Sumble
Engineering & R&D
0.1% of all Engineering & R&D jobs mention Spark SQL
View 9.8k
jobs on Sumble
Which organizations are mentioning Spark SQL?
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