DataAI ETL Alteryx - Customer-Ready Evaluation

Product: Alteryx

Distribution: Customer-ready evaluation

Source: DataAI_ETL_Alteryx_Evaluation/docs/INSTALLATION_AND_USAGE.md inside DataAI_ETL_Alteryx_Evaluation.zip

Package SHA-256: 1d26eedb8d99bfe792140afcc50dc10db9abac78033b76ec7cc00d487da647aa

Download customer-ready package | Download checksum | Read the evaluation license

Start here: Download one customer-ready ZIP. It already contains the DataAI libraries, product assets, documentation, samples, licenses, internal checksums, and local verification files for this integration. Spark, Hadoop, vendor products, and proprietary drivers remain customer-provided.

Alteryx: Customer Evaluation Installation and Usage

This is the customer-ready DataAI ETL evaluation package from Yanbor LLC, provider of the DataAI product. DataAI runs inside the customer's pipeline; it is not a hosted service and makes no required DataAI network call.

Prerequisites

Windows 64-bit
Alteryx Designer 2026.1 with AMP
Java 17
Apache Spark 3.5.0 with Scala 2.12

Installation and first verification

Review LICENSE.md, then install install\DataAI_ETL_Alteryx_2026_1_Evaluation.yxi in Alteryx Designer.
Run smoke-test\run-smoke-test.ps1 separately to verify the delivered DataAI libraries.
Add DataAI ETL Quality to an AMP workflow and configure the customer-selected spark-submit executable and evaluation tables.
Accept the evaluation terms in the tool, run the workflow, and require status Succeeded with exit code 0.
Inspect only the customer-selected Spark output tables. External Designer/Server validation remains customer-specific.

Evaluation boundary

Use only fictional or approved non-production data.
Review LICENSE.md; the standard evaluation is less than 32 consecutive calendar days.
DataAI software is provided AS IS, with no obligations except those expressly accepted in a signed commercial agreement or order form.
Spark, Hadoop, cloud platforms, BI tools, orchestration products, and vendor drivers remain customer-provided and governed by their respective terms.
A successful local smoke test validates the delivered DataAI artifacts. It does not claim certification on the customer's external platform.

Package layout

install/: platform-specific installer or packages, when applicable.
lib/: DataAI JARs required by Spark-based integrations.
smoke-test/ or nuget-smoke-test/: executable local verification.
docs/: complete function catalog and product-specific guidance.
samples/: fictional evaluation inputs.
platform/: platform-specific examples, notebooks, configuration, POMs, or container-review assets.
PACKAGE_CONTENTS.sha256: SHA-256 for every other file in this ZIP.

Local DataAI Library Smoke Test

This test uses only fictional in-memory rows. It starts local Spark, executes normalization, profiling, required and numeric quality rules, clean/rejected routing, the complete function-catalog check, and iterative matrix balancing.

Requirements

Java 17.
Apache Spark 3.5.0 with Scala 2.12.
spark-submit available on PATH, or supplied with -SparkSubmit.

Spark and Hadoop are customer-provided runtimes and are intentionally not bundled in the DataAI evaluation ZIP.

Run

From the extracted package root:

.\smoke-test\run-smoke-test.ps1

If the customer's Windows policy blocks direct script invocation and the customer's security policy permits a process-only override, run:

powershell.exe -NoProfile -ExecutionPolicy Bypass -File `
  .\smoke-test\run-smoke-test.ps1

This option applies only to that PowerShell process; it does not change the computer's execution policy.

For an explicit executable path:

.\smoke-test\run-smoke-test.ps1 `
  -SparkSubmit 'C:\spark\bin\spark-submit.cmd'

Success requires exit code 0 and a DATAAI_*_SMOKE_TEST_PASS marker. This local check validates the delivered DataAI libraries. It does not replace the documented validation on Databricks, AWS, Azure, Oracle, Google Cloud, Tableau, Alteryx, or another customer-selected external platform.

Verify the downloaded ZIP

$expected = (Get-Content .\DataAI_ETL_Alteryx_Evaluation.zip.sha256).Split()[0]
$actual = (Get-FileHash .\DataAI_ETL_Alteryx_Evaluation.zip -Algorithm SHA256).Hash.ToLowerInvariant()
if ($actual -ne $expected) { throw 'DataAI ETL package checksum mismatch.' }