64 docs tagged with "learning"

Aggregate a Collection

Assert a collection

Concatenate a Collection

In order to understand how to improve business decision-making with ELARA AI, it is necessary to understand how to ingest, transform, and observe data in the ELARA AI Platform. In this course, you will use the ELARA Development Kit (EDK) to create and launch Solutions and work with data.

Define a Datastream

Define a file Datasource

Define a Pipeline Operation

Define a VariantType Datastream

Define an Expression

Define and launch a Pipeline

Define Assertions and Warnings

Delete a value in a Datastream

Disaggregate a collection

Encode to Json

Filter a collection

Get Data In and Out

Handle missing values

Handle Optional Data

Ingest File Data

Initialise a Project

Input another stream

Install the EDK CLI

Join collections

Launch a Solution

Log in with the EDK CLI

Manage Templates

Merge Templates

Monitor a Solution

Monitor Solutions

Monitor Tasks

Offset a collection

Parse Nested data

Parse Tabular data

Read a Datastream value

Select a collection

Send Data

Send Data Out

Set an initial Datastream value

Set up your Dev Environment

Transform BlobType Data

Transform Collection Data

Transform Data

Transform VariantType Data

Use a DictType Datastream

Use a StructType in a Datastream

Use BlobType Data

Use Collection Data Types

Use VariantType Data

Validate Data

Validate the BlobType

View Datastream Status

What are Assertions and Warnings

What are Collection Operations?

What are Collection Types?

What are Expressions?

What is a DataSink?

What is a Datasource?

What is a Datastream?

What is a Pipeline?

What is a Template?

What is the BlobType?

What is the Variant Data Type?

Work with the BlobType

Write to a Datastream