Search results
Nov 27, 2023 · Set up a structured data source - MySQL - and add data; Set up an unstructured data source - MongoDB - and add data; Connect the data sources to the Presto cluster; Query the data with the Presto CLI; Step 1. Create a Docker network. In this tutorial, we will be using a Docker container for each node of our Presto cluster and for each of our ...
- Query Federation
- Example Scenario
- Dynamic Filtering
- The Setup
More often than not, organizations use many database and storage systems to store their data, not just a single one. Relational databases (MySQL, SQL Server, Postgress etc) for relational data and OLTP use-cases, Cassandra and other key-value stores for fast access to data by keys, and object storage systems like S3 and HDFS for storing large amoun...
Say we have data relating to flights arrival and departure, stored on S3 and typically accessed using Hive Metastore. This is a typical architecture for keeping tabular data on S3. Consider that the customer is building a dashboard to display this data visually to managers or to employees at their operations department. The dashboard should help de...
Presto is quite a magnificent piece of work. There is a lot of really interesting pure Compute Science and algorithmic optimizations at work under the hood, which in turn drives Presto's amazing performance for many use-cases. In general terms, presto takes the query and parses it into its own internal representation, for which it then creates a pl...
While we won't go into the details of setting up your presto cluster (though we could certainly help you with that - contact us), here are the basics of how to configure Presto to allow queries across various data sources. Each platform is exposed as a "catalog" in the SQL syntax. For Hive, databases are mapped as schemas within the hive catalog, a...
May 28, 2014 · Introduction Presto is an open source distributed SQL engine for running interactive analytic queries on top of various data sources like Hadoop, Cassandra, and Relational DBMS etc. It is developed by Facebook to query Petabytes of data with low latency using Standard SQL interface. With the help of Presto, data from multiple sources can be….
Apache Presto enables federated querying by allowing data engineers and analysts to query data from multiple sources, such as Hive, Amazon S3, MySQL, and Kafka, in a single query.By enabling ...
Aug 14, 2020 · A single Presto query can combine data from multiple sources. Presto offers connectors to data sources including files in HDFS, AWS S3, Azure Blob/ADLS, Google Cloud Storage, MySQL, PostgresSQL ...
Mar 18, 2024 · 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 is a powerful distributed SQL query engine that provides fast, scalable, and ...
People also ask
Can Presto query multiple data sources in a single query?
Why should you use Presto query plan viewer?
What is Presto DBMS?
Can Presto join data from S3 and MySQL?
Is Apache Presto a good choice for big data?
What data sources can Presto connect to?
Mar 18, 2023 · Interoperability: Presto can query data from multiple data sources, including databases, data warehouses, and file systems, with a single query. This interoperability makes it easy to consolidate ...
