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Edited dbt feast quick start (#186)
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@vidhanbhonsle
vidhanbhonsle authored Mar 22, 2024
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44 changes: 2 additions & 42 deletions modules/other-integrations/pages/getting.started.dbt-feast-teradata-pipeline.adoc
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:page-revdate: August 4th, 2023
:description: dbt Feast integration with Teradata
:keywords: data warehouses, compute storage separation, teradata, vantage, cloud data platform, object storage, business intelligence, enterprise analytics, AI/ML, AI, ML, feature engineering, feature store, FEAST
:page-image-directory: getting.started.dbt-feast-teradata-pipeline
:tabs:

== Overview
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dbt takes this raw data and builds the following model, which is more suitable for ML modeling and analytics tools:

[erd, format=svg, width=100%]
....
# Entities
[`fact: Analytic_Dataset`] {bgcolor: "#f37843", color: "#ffffff", border: "0", border-color: "#ffffff"}
*`cust_id ` {bgcolor: "#f9d6cd", color: "#000000", label: "INTEGER", border: "1", border-color: "#ffffff"}
`income ` {bgcolor: "#fcece8", color: "#868686", label: "DECIMAL(15, 1)", border: "1", border-color: "#ffffff"}
`age ` {bgcolor: "#fcece8", color: "#868686", label: "INTEGER", border: "1", border-color: "#ffffff"}
`years_with_bank ` {bgcolor: "#fcece8", color: "#868686", label: "INTEGER", border: "1", border-color: "#ffffff"}
`nbr_children ` {bgcolor: "#fcece8", color: "#868686", label: "INTEGER", border: "1", border-color: "#ffffff"}
`marital_status_0 ` {bgcolor: "#fcece8", color: "#868686", label: "INTEGER", border: "1", border-color: "#ffffff"}
`marital_status_1 ` {bgcolor: "#fcece8", color: "#868686", label: "INTEGER", border: "1", border-color: "#ffffff"}
`marital_status_2 ` {bgcolor: "#fcece8", color: "#868686", label: "INTEGER", border: "1", border-color: "#ffffff"}
`marital_status_other ` {bgcolor: "#fcece8", color: "#868686", label: "INTEGER", border: "1", border-color: "#ffffff"}
`gender_0 ` {bgcolor: "#fcece8", color: "#868686", label: "INTEGER", border: "1", border-color: "#ffffff"}
`gender_1 ` {bgcolor: "#fcece8", color: "#868686", label: "INTEGER", border: "1", border-color: "#ffffff"}
`gender_other ` {bgcolor: "#fcece8", color: "#868686", label: "INTEGER", border: "1", border-color: "#ffffff"}
`state_code_0 ` {bgcolor: "#fcece8", color: "#868686", label: "INTEGER", border: "1", border-color: "#ffffff"}
`state_code_1 ` {bgcolor: "#fcece8", color: "#868686", label: "INTEGER", border: "1", border-color: "#ffffff"}
`state_code_2 ` {bgcolor: "#fcece8", color: "#868686", label: "INTEGER", border: "1", border-color: "#ffffff"}
`state_code_3 ` {bgcolor: "#fcece8", color: "#868686", label: "INTEGER", border: "1", border-color: "#ffffff"}
`state_code_4 ` {bgcolor: "#fcece8", color: "#868686", label: "INTEGER", border: "1", border-color: "#ffffff"}
`state_code_5 ` {bgcolor: "#fcece8", color: "#868686", label: "INTEGER", border: "1", border-color: "#ffffff"}
`state_code_other ` {bgcolor: "#fcece8", color: "#868686", label: "INTEGER", border: "1", border-color: "#ffffff"}
`acct_type_0 ` {bgcolor: "#fcece8", color: "#868686", label: "INTEGER", border: "1", border-color: "#ffffff"}
`acct_type_1 ` {bgcolor: "#fcece8", color: "#868686", label: "INTEGER", border: "1", border-color: "#ffffff"}
`acct_type_2 ` {bgcolor: "#fcece8", color: "#868686", label: "INTEGER", border: "1", border-color: "#ffffff"}
`acct_type_other ` {bgcolor: "#fcece8", color: "#868686", label: "INTEGER", border: "1", border-color: "#ffffff"}
`CK_avg_bal ` {bgcolor: "#fcece8", color: "#868686", label: "FLOAT", border: "1", border-color: "#ffffff"}
`CK_avg_tran_amt ` {bgcolor: "#fcece8", color: "#868686", label: "FLOAT", border: "1", border-color: "#ffffff"}
`CC_avg_bal ` {bgcolor: "#fcece8", color: "#868686", label: "FLOAT", border: "1", border-color: "#ffffff"}
`CC_avg_tran_amt ` {bgcolor: "#fcece8", color: "#868686", label: "FLOAT", border: "1", border-color: "#ffffff"}
`SV_avg_bal ` {bgcolor: "#fcece8", color: "#868686", label: "FLOAT", border: "1", border-color: "#ffffff"}
`SV_avg_tran_amt ` {bgcolor: "#fcece8", color: "#868686", label: "FLOAT", border: "1", border-color: "#ffffff"}
`q1_trans_cnt ` {bgcolor: "#fcece8", color: "#868686", label: "DECIMAL(15, 0)", border: "1", border-color: "#ffffff"}
`q2_trans_cnt ` {bgcolor: "#fcece8", color: "#868686", label: "DECIMAL(15, 0)", border: "1", border-color: "#ffffff"}
`q3_trans_cnt ` {bgcolor: "#fcece8", color: "#868686", label: "DECIMAL(15, 0)", border: "1", border-color: "#ffffff"}
`q4_trans_cnt ` {bgcolor: "#fcece8", color: "#868686", label: "DECIMAL(15, 0)", border: "1", border-color: "#ffffff"}
`event_timestamp ` {bgcolor: "#fcece8", color: "#868686", label: "TIMESTAMP(0)", border: "1", border-color: "#ffffff"}
`created ` {bgcolor: "#fcece8", color: "#868686", label: "TIMESTAMP(0)", border: "1", border-color: "#ffffff"}
....

image::{page-image-directory}//dbt-feast.png[dbt feast,align="center",width=50%]

== Configure dbt
Create file `$HOME/.dbt/profiles.yml` with the following content. Adjust `<host>`, `<user>`, `<password>` to match your Teradata instance.
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