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1. datascientest.com › en › apache-presto-everythingApache Presto: everything you need to know about this ...

   datascientest.com › en › apache-presto-everything

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   Mar 18, 2024 · Presto can connect to a variety of data sources, such as distributed file systems (like HDFS), relational databases, and even cloud storage services. This capability enables users to perform queries on data from heterogeneous sources, without the need to first move or transform the data.

2. thirdeyedata.ai › presto-distributed-sql-queryPresto - An Open Source Distributed SQL Query Engine

   thirdeyedata.ai › presto-distributed-sql-query

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   Presto is an open source distributed SQL query engine for running interactive analytic queries against data sources of all sizes. Deploy Our Pre-Built Generative AI Applications for Real-World Use Cases.

3. aws.amazon.com › what-is › prestoWhat is Presto? - PrestoDB Explained - AWS

   aws.amazon.com › what-is › presto

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   Presto is an open source, distributed SQL query engine designed for fast, interactive queries on data in HDFS, and others. Unlike Hadoop/HDFS, it does not have its own storage system. Thus, Presto is complimentary to Hadoop, with organizations adopting both to solve a broader business challenge.

4. robots.net › fintech › what-is-presto-in-big-dataWhat Is Presto In Big Data - Robots.net

   robots.net › fintech › what-is-presto-in-big-data

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   Nov 16, 2023 · Furthermore, Presto supports a wide range of data formats, including Avro, Parquet, JSON, and CSV, making it compatible with diverse data sources. In summary, Presto is a versatile and powerful distributed SQL query engine that enables organizations to query and analyze large datasets efficiently.

5. medium.com › rakam-io › how-presto-brings-the-bestHow Presto Brings The Best Out of Big Data Analysts

   medium.com › rakam-io › how-presto-brings-the-best

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   Sep 20, 2017 · Presto allows querying data where it lives — whether it’s on Hive, Cassandra, relational databases or even proprietary data stores. A single Presto query can combine data from multiple...

6. www.alooba.com › prestoPresto: Everything You Need to Know When Assessing Presto Skills

   www.alooba.com › presto

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   Presto supports a wide range of data sources, allowing users to access and query different types of data through a single interface. It seamlessly integrates with popular databases like MySQL, PostgreSQL, and SQL Server, as well as big data platforms such as Apache Hadoop and Amazon S3.

7. People also ask

   What data sources does Presto SQL support?

   • Support for Multiple Data Sources: Presto SQL supports a wide range of data sources, including Hadoop Distributed File System (HDFS), Amazon S3, Cassandra, and MongoDB. Dynamic Query Optimization: Presto SQL uses dynamic query optimization to automatically adjust query plans based on the data being processed.

   Presto SQL: The Powerhouse SQL Engine You Need to Know About

   datadrivendaily.com/presto-sql-db/

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   How do data engineers use Presto SQL?

   • Some of the ways data engineers use Presto SQL include: Data Ingestion: Data engineers can use Presto SQL to ingest data from a variety of sources, including traditional relational databases, NoSQL databases, and big data platforms like Hadoop and Spark.

   Presto SQL: The Powerhouse SQL Engine You Need to Know About

   datadrivendaily.com/presto-sql-db/

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   What is Presto?

   • Presto is an open source distributed SQL query engine for running interactive analytic queries against data sources of all sizes ranging from gigabytes to petabytes.

   Presto - An Open Source Distributed SQL Query Engine

   thirdeyedata.ai/presto-distributed-sql-query-engine-for-big-data/

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   Why should you use Presto?

   • Flexibility: Presto’s flexibility shines through its support for federated queries and compatibility with various data sources. Users can seamlessly query and join data from different systems, including relational databases, Hadoop clusters, and cloud storage, without the need for data replication or format conversion.

   What Is Presto In Big Data - Robots.net

   robots.net/fintech/what-is-presto-in-big-data/

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   What is Presto connector API?

   • Connector API: Presto’s unique connector API allows it to access data from various data sources, such as Hive, Cassandra, Kafka, and relational databases. Each data source has a dedicated connector, which translates Presto’s internal data representation to the data source’s native format.

   Presto SQL: The Powerhouse SQL Engine You Need to Know About

   datadrivendaily.com/presto-sql-db/

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   Is Apache Presto a good choice for big data?

   • May be more complex to configure and optimize, especially for simple SQL queries. Apache Presto stands out as a fast and flexible distributed SQL query engine, ideal for ad hoc analysis of large datasets. Its ability to query a variety of data sources and its efficient architecture make it a valuable choice in the Big Data ecosystem.

   Apache Presto: everything you need to know about this distributed SQL

   datascientest.com/en/apache-presto-everything-you-need-to-know-about-this-distributed-sql-query-engine

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8. datadrivendaily.com › presto-sql-dbPresto SQL: The Powerhouse SQL Engine You Need to Know About

   datadrivendaily.com › presto-sql-db

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   Feb 23, 2023 · Some of the ways data engineers use Presto SQL include: Data Ingestion: Data engineers can use Presto SQL to ingest data from a variety of sources, including traditional relational databases, NoSQL databases, and big data platforms like Hadoop and Spark.