Datasets

• CSV & JSON datasets create with Mockaroo

• Flights Dataset Downloaded from Kaggle

Environment Setup

Before spinning environment, place any desired sample data in the sample data folder.

• Spin up docker compose up

• Spin down docker compose down

Connecting Lake to Dremio

After a few minutes you should be able to access Dremio from http://localhost:9047

After setting up an account we will add 3 sources:

• Nessie sources that will save tables to "warehouse" bucket

• S3 source that you can use to write tables to "lakehouse" bucket

• S3 source to access sample data from

Connecting the Nessie Catalog To Dremio

• Select Nessie as your new source

There are two sections we need to fill out, the general and storage sections:

General (Connecting to Nessie Server)

• Set the name of the source to “nessie”
• Set the endpoint URL to “http://nessie:19120/api/v2” Set the authentication to “none”

"http://nessie" this namespace is determined by the service name in the docker compose yaml

Storage Settings

(So Dremio can read and write data files for Iceberg tables)

• For your access key, set “admin” (minio username)
• For your secret key, set “password” (minio password)
• Set root path to “warehouse” (any bucket you have access too) Set the following connection properties:
  • fs.s3a.path.style.access to true
  • fs.s3a.endpoint to minio:9000
  • dremio.s3.compat to true
• Uncheck “encrypt connection” (since our local Nessie instance is running on http)

"minio:9000" this namespace is determined by the service name in the docker compose yaml

Configuring S3/Minio Sources

For Lakehouse Bucket

Choose S3 Source

GENERAL SETTINGS

• name: lakehouse
• credentials: aws access key
• accesskey: admin
• secretkey: password
• encrypt connection: false

ADVANCED OPTIONS

• enable compatibility mode: true
• root path: /datalakehouse
• Connection Properties
  • fs.s3a.path.style.access = true
  • fs.s3a.endpoint = storage:9000

For Sample Data

Choose S3 Source

GENERAL SETTINGS

• name: sampledata
• credentials: aws access key
• accesskey: admin
• secretkey: password
• encrypt connection: false

ADVANCED OPTIONS

• enable compatibility mode: true
• root path: /sampledata
• Connection Properties
  • fs.s3a.path.style.access = true
  • fs.s3a.endpoint = storage:9000