Presto, Starburst, Big Data Analysis, Electro4U.net

Getting Started with Presto and Starburst for Big Data Analysis

In recent years, the volume of data that businesses are collecting has grown exponentially. This data can provide tremendous insight into the way customers interact with products and services, but sorting through the data quickly and effectively can be a daunting task. Lucky for businesses, there are tools available that make analyzing large data sets accessible and much easier to do.

One such tool is Presto, an open-source big data query engine developed by Starburst. Presto’s powerful distributed SQL query engine allows for interactive analysis of data stored in multiple sources, including HDFS, Apache Hive, Cassandra, Kafka, and more. In short, Presto makes it easy to analyze your data quickly and efficiently.

So what makes Presto so great? Let’s take a look at some of the features that make Presto a popular choice for businesses looking to dive deep into their data.

Presto’s Features

• State-of-the-Art Query Processing: With Presto, queries are parsed, optimized and then scheduled for execution in a distributed fashion across several nodes in a cluster. This results in faster runtimes and scalability.
• SQL Support: Presto supports the entire ANSI SQL standard, as well as a number of vendor specific extensions. This opens up huge possibilities when it comes to using Presto for complex data analysis.
• Cost Efficiency: Since Presto is highly parallelized, it can process huge amounts of data using a fraction of the resources used by traditional systems.
• Connectors: Presto provides a wide range of connectors that allow you to access data from different sources. This makes it possible to easily access data from multiple sources and analyze it in the same query.

Now that you know a little bit about Presto, let’s take a look at how you can get started using Presto and Starburst for big data analysis.

Getting Started with Presto & Starburst

The first step towards getting started with Presto and Starburst is to download the open-source version of Presto. You can find the most recent stable release on the Presto website. Once you have Presto installed, you can start exploring the built-in CLI to get an idea of the query engine’s capabilities.

The next step is to connect Presto to your data source. You can use Presto’s native connectors, which support a wide range of data sources. Once your data source is connected, you are ready to start analyzing your data.

Starburst offers a suite of managed versions of Presto that provide additional features and support. These include the Presto Enterprise Edition and the Starburst Data Cloud, which offer enhanced security, scalability, and performance.

With Presto and Starburst, businesses of all sizes can quickly and easily access data and insights they need to make better decisions. Whether you’re just getting started with big data analysis or you’re an experienced user, Presto and Starburst make data exploration easy.