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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.
Presto gives organizations of all sizes a fast, efficient way to analyze big data from various sources including on-premise systems and the cloud. It also helps businesses query petabytes of data using their current SQL capabilities, without having to learn a new language.
What is Presto? Presto is an open source SQL query engine that's fast, reliable, and efficient at scale. Use Presto to run interactive/ad hoc queries at sub-second performance for your high volume apps.
Presto is community-driven open-source software released under the Apache License. Presto was originally designed and developed at Facebook, Inc. (later renamed Meta) for their data analysts to run interactive queries on its large data warehouse in Apache Hadoop.
- What Is Presto?
- Presto’s CORE Concepts
- The Central Reason Why You Should Implement Presto in Your Cloud Computing Stack
- Final Thoughts
Amazon AWSdescribes Prestoas follows, “Presto (or PrestoDB) is an open source, distributed SQL query engine, designed from the ground up for fast analytic queries against data of any size.” It interfaces both non-relational data sources like Amazon S3 and Hadoop HDFS, MongoDB, and HBase, as well as relational databases like MySQL, PostgreSQL, and M...
In order to leverage Presto’s power and ability to query Big Data, it is essential to gain an understanding of the query engine’s core concepts. The terms and concepts, SQL statements and queries, are well-known. However, there are other important concepts that are worth gaining an insight into.
Now that we have a comprehensive understanding of Presto and its architecture and core concepts, let’s consider the fundamental reason why you should implement Presto in your cloud computing stack. As described above, Presto has the functionality through its connectors to directly interface with a wide variety of data sources, including raw data st...
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.
Get the hands-on guide to getting started with Presto, built in partnership with Dzone. In this video, we will be giving an introduction to Big data query engine: Presto and its user base, how to get started with it including installation and using it in cluster mode.
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Presto is a tool designed to efficiently query vast amounts of data using distributed queries. If you work with terabytes or petabytes of data, you are likely using tools that interact with Hadoop and HDFS.
