Creating Apache Iceberg Tables with AWS & Querying with Dremio - Intro Tutorial
Are you looking for an easy way to get started with Apache Iceberg tables in AWS? This tutorial video walks you through the steps to set up and use a Data Lakehouse, such as AWS Glue, to create an Apache Iceberg table and query it with Dremio.
Apache Iceberg is a data lake format that enables data engineers to process and query large amounts of data in the cloud. It provides better performance and scalability than traditional data warehouse systems like Apache Hive and Presto. With Apache Iceberg, you can store, manage, and query your data more efficiently.
In this tutorial video, we will walk you through how to set up the Apache Iceberg Glue connector and write an Iceberg table using AWS Glue. We also provide instructions on how to query this table using Dremio’s Data Lake Engine.
This tutorial is designed for those who are looking for an easy way to get started with Apache Iceberg in the cloud. You don’t need any prior experience with either AWS or Dremio - all you need is a basic understanding of basic databases concepts like tables, columns, and records.
Before we get started, let’s go over what we will cover in this tutorial:
• Setting up the Apache Iceberg Glue connector
• Writing an Iceberg table using AWS Glue
• Querying this table with Dremio’s Data Lake Engine
• Tips & best practices for working with Apache Iceberg tables
• A written version of this tutorial can be found here: https://www.dremio.com/resources/tuto...
By the end of this tutorial video, you will have all the knowledge necessary to create an Apache Iceberg table using AWS Glue and query it with Dremio's Data Lake Engine. So let's get started!
Are you looking for a comprehensive guide on how to create an Apache Iceberg Table using AWS Glue and query it with Dremio? In this tutorial video, we provide step by step instructions on setting up the Apache Iceberg Glue Connector, writing an iceberg table in AWS Glue, and querying it with Dremio's Data Lake Engine.
We start by explaining what makes Apache iceberg different from traditional data warehouse systems like Hive or Presto; then walking through how to set up the Glacier Glue Connector so that you can write your own iceberg table easily within AWS Glue; then finally illustrating how to use Dremio's Data Lake engine to query your newly created iceberg table quickly and efficiently. Throughout the video we provide helpful tips on best practices when working with this technology stack so that you can get optimal results from your data lakehouse setup.
By taking advantage of these tools together - AWS glue + Apche iceberg + Dremios Data Lake engine - users can not only enjoy better performance but also scalability when processing large amounts of data in their cloud environment. Additionally if users prefer written content over visual content there is a full written version of this tutorial available at https://www.dremio.com/resources/tuto....
By following along with our instruction video users will have all they need know about creating an Apche iceberg Table using AWS glue and querying it quickly and easily with Dremios Data lake engine at their fingertips! So what are waiting for? Let's get started!
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