Tech Insights
Spark SQL

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 is a parallel SQL engine for Hadoop, offering an alternative for querying data stored in HDFS and other data sources with SQL.
mentioned alongside Spark SQL in 8% (1.2k) of relevant job posts
Azure Synapse Analytics is a data warehouse service that offers similar SQL query capabilities on large datasets as Spark SQL.
mentioned alongside Spark SQL in 3% (1.7k) of relevant job posts

Spark SQL Complementary Technologies

PySpark is the Python API for Spark, enabling users to interact with Spark SQL using Python.
mentioned alongside Spark SQL in 7% (6.3k) of relevant job posts
Spark SQL's DataFrame API provides a structured data abstraction for processing data.
mentioned alongside Spark SQL in 52% (518) of relevant job posts
Spark SQL can read data from and write data to Hive, and execute HiveQL queries. It leverages Hive's metastore.
mentioned alongside Spark SQL in 5% (4.8k) of relevant job posts

Which organizations are mentioning Spark SQL?

Organization
Industry
Matching Teams
Matching People
Spark SQL
Apple
Scientific and Technical Services

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