Loading Zuora
Data to AWS S3
Using dlt
in Python
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zuora
is a subscription management platform that enables businesses to handle their subscription-based services efficiently. This guide will walk you through loading data from zuora
to AWS S3
using the open-source python library dlt
. The AWS S3
destination allows you to store data in various formats such as JSONL, Parquet, or CSV, making it easy to create data lakes. For more details about the zuora
platform, visit their official website.
dlt
Key Features
- Pipeline Metadata:
dlt
pipelines leverage metadata to provide governance capabilities, including load IDs for data lineage and traceability. Learn more - Schema Enforcement and Curation:
dlt
empowers users to enforce and curate schemas, ensuring data consistency and quality. Read more - Schema Evolution:
dlt
alerts users to schema changes, allowing them to take necessary actions for maintaining data integrity. Learn more - Scaling and Finetuning:
dlt
offers several mechanisms and configuration options to scale up and fine-tune pipelines. Read more - Snowflake and Google Cloud Storage: Learn how to set up your bucket with the bucket_url and credentials for staging destinations. Learn more