DataAI ETL Oracle AIDP Spark - Customer-Ready Evaluation

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.

Oracle AIDP Spark: 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

• Java 17
• Apache Spark 3.5.0 with Scala 2.12
• Customer-controlled Oracle AIDP or OCI Data Flow evaluation environment

Installation and first verification

1. Review LICENSE.md and run smoke-test\run-smoke-test.ps1 on compatible local or edge-node Spark.
2. Upload the DataAI JARs to a customer-controlled artifact location visible to the Oracle Spark job.
3. Create isolated source and output schemas and grant the evaluation job identity minimum permissions.
4. Run the configuration-driven CLI or embed the libraries in the Oracle Spark application.
5. Verify output row counts, quality findings, matrix results, permissions, and retry behavior on the exact Oracle runtime.

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.

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

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

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

Verify the downloaded ZIP

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