Videos

FireEdge

Technical talks and explainers about how Firebolt works

Introducing Firebolt Core

We're excited announce the launch of Firebolt Core, a free, self-managed version of Firebolt that you can run anywhere, from a massive distributed cluster to a laptop.

Reading with table-valued functions

TVFs are great for data exploration without needing to ingest data, as well as targeted ingestion of specific data that you have in existing files.

Compute families in Firebolt

Firebolt introduced a new compute family: compute-optimized. By providing proportionally more CPU than memory and disk space, it can power up CPU-intensive workloads or engines operating on small datasets.

Online upgrades in Firebolt

In Firebolt, what happens when we have a new release, but your engine is running? It's a seamless upgrade that makes sure Firebolt users are always getting the best experience.

What is vectorized query execution?

Vectorized execution is a common strategy in nearly every modern query engine, and Benjamin Wagner, Director of Engineering at Firebolt, is here to explain how it works.

Geospatial functionality in Firebolt

Explore the differences between geometry and geography, how Firebolt leveraged the S2 library, and how we return geospatial query results as efficiently as possible.

Firebolt Workshop Videos

A hands-on introduction to all of the key Firebolt concepts

Intro to Firebolt

What is Firebolt? A next-gen cloud data warehouse and data analytics platform. In this first episode of our Firebolt Workshop series, Dev Advocate Cole Bowden explains what makes Firebolt different and what makes it shine.

Databases

Databases are the bread and butter of storing your data in Firebolt. They are the home of all of your data, including all your tables and external tables.

Engines

Engines are the compute layer in Firebolt. They do all your work - reading, writing, transforming, and accessing data, no matter where that data lives.

Ingesting Data

Once you've set up your database and engine, the next question is how you can load data into Firebolt.

Primary Indexes

Primary indexes are the single most important optimization a Firebolt user needs to be aware of.

Aggregating Indexes

Aggregating Indexes are Firebolt's unique and improved approach to materialized views.

How-to Videos

Learn new skills quickly with our easy, step-by-step video guides

Ingestion Wizard

Firebolt’s "Load data” wizard simplifies data onboarding from S3 with support for Parquet, CSV file formats.

How to use "COPY FROM"

Get insights into how Firebolt’s “COPY FROM” command can be used to ingest data from CSV and PARQUET formats with built-in schema inference.

Firebolt UI

Get a detailed walkthrough of Firebolt's user-friendly interface, designed to simplify data management and analysis, all with the ease of SQL.

How do I create a database

Get started with Firebolt by learning how to create and manage databases effortlessly. This video explains the simple steps to create a database using the Firebolt UI or through SQL commands.

Ingestion

Firebolt makes data ingestion seamless and efficient. Get insights into various methods of ingesting data into Firebolt, from using the UI to executing SQL commands.

What is an Engine

Engines are at the core of Firebolt’s high-performance data platform. Get a comprehensive overview of what an engine is, how it works, and why it’s critical for your data strategy.

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Videos

FireEdge

Firebolt Workshop Videos

How-to Videos

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