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1. www.ibm.com › topics › prestoWhat Is Presto? - IBM

   www.ibm.com › topics › presto

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   Presto, or Presto database (PrestoDB), is an open-source, distributed SQL query engine that can query large data sets from different data sources, enabling enterprises to address data problems at scale. Presto gives organizations of all sizes a fast, efficient way to analyze big data from various sources including on-premise systems and the cloud.

2. www.prestocard.ca › en › aboutFare Types and Discounts | PRESTO

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   The default PRESTO fare type is Adult. For example, if you have the TTC Fair Pass Fare Type, you will be charged the Fair Pass price on TTC, and an Adult fare on other agencies. Using the PRESTO app. Sign into the PRESTO app, select your card, click the “i” icon, and select the 'Info' tab. Using the PRESTO Website.

3. 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 · Presto stands out from other big data tools with its unique features and capabilities. Let’s explore some of the key differences between Presto and other popular big data tools: Processing Speed: Presto is renowned for its lightning-fast query execution. Unlike traditional batch processing frameworks like Apache MapReduce, Presto operates in ...

4. ikno.io › understanding-presto-a-comprehensive-guideUnderstanding Presto: A Comprehensive Guide - iKno

   ikno.io › understanding-presto-a-comprehensive-guide

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   Oct 29, 2024 · Key Features of Presto. Presto is known for its unique features, including: Scalability: Presto scales seamlessly from gigabytes to petabytes, ensuring it can grow with an organization’s needs without losing performance quality. Flexibility: Users can query multiple data sources simultaneously, blending datasets without the need for complex ...

5. www.reddit.com › r › torontoWhy Presto works the way it does (and doesn't) : r/toronto

   www.reddit.com › r › toronto

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   Most payments systems are run by a single agency. Presto is unique because it is an independent system with 11 discrete customers (the transit agencies) This means that Presto needs to act as a "Bank" that holds riders' money, and then process loads/spends on behalf of its transit agency customers.

6. risingwave.com › blog › why-presto-stands-out-in-theWhy Presto Stands Out in the World of Data Tools

   risingwave.com › blog › why-presto-stands-out-in-the

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   Presto offers unique features like scalability, high performance, and flexibility. These attributes make Presto a powerful tool in data analytics. The ability to query data without moving it provides cost efficiency and speed. Presto's integration capabilities enhance its versatility across various industries.

7. People also ask

   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 makes Presto unique?

   • Community and Ecosystem: Presto benefits from a vibrant and active community of developers and users who contribute to its development and support its adoption. This community-driven approach ensures frequent updates, bug fixes, and enhancements, keeping Presto at the forefront of big data analytics.

   What Is Presto In Big Data - Robots.net

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   What is Presto database?

   • Presto, or Presto database (PrestoDB), is an open-source, distributed SQL query engine that can query large data sets from different data sources, enabling enterprises to address data problems at scale. Presto gives organizations of all sizes a fast, efficient way to analyze big data from various sources including on-premise systems and the cloud.

   What Is Presto? - IBM

   www.ibm.com/topics/presto

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   Does Presto work with heterogeneous data ecosystems?

   • Compatibility: Presto’s wide compatibility with different data sources and formats allows organizations to work with heterogeneous data ecosystems. Whether it’s traditional relational databases, data warehouses, or distributed file systems, Presto can seamlessly connect to and query data stored in these systems.

   What Is Presto In Big Data - Robots.net

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   What is the difference between Presto and other big data tools?

   • Let’s explore some of the key differences between Presto and other popular big data tools: Processing Speed: Presto is renowned for its lightning-fast query execution. Unlike traditional batch processing frameworks like Apache MapReduce, Presto operates in-memory and performs real-time analysis.

   What Is Presto In Big Data - Robots.net

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   What data sources does Presto support?

   • As described above, Presto has the functionality through its connectors to directly interface with a wide variety of data sources, including raw data stored in data lakes such as AWS S3 and HDFS data blocks as well as relational databases like MySQL and Microsoft SQL Server.

   What is Presto and Why You Should Use It - Upsolver

   www.upsolver.com/blog/apache-presto-what-is-it-and-why-you-should-use-it

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8. www.upsolver.com › blog › apache-presto-what-is-itWhat is Presto and Why You Should Use It - Upsolver

   www.upsolver.com › blog › apache-presto-what-is-it

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   Dec 3, 2020 · The methodology and processing required to analyze real-time data or the billions of records that the modern enterprise produces, needs solutions provided by Presto/Amazon Athena, Upsolver, AWS S3 to ensure that data is analyzed promptly, cost-effectively, and with low overhead in cloud-based storage and architectures.