Remove 2021 Remove Data Architecture Remove Data Quality Remove Data Transformation
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Create a modern data platform using the Data Build Tool (dbt) in the AWS Cloud

AWS Big Data

In this post, we delve into a case study for a retail use case, exploring how the Data Build Tool (dbt) was used effectively within an AWS environment to build a high-performing, efficient, and modern data platform. It does this by helping teams handle the T in ETL (extract, transform, and load) processes. usr/local/airflow/.local/bin/dbt

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Automate discovery of data relationships using ML and Amazon Neptune graph technology

AWS Big Data

The goal of a data product is to solve the long-standing issue of data silos and data quality. Independent data products often only have value if you can connect them, join them, and correlate them to create a higher order data product that creates additional insights. We focus on the former.

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Showpad accelerates data maturity to unlock innovation using Amazon QuickSight

AWS Big Data

In 2021, Showpad set forth the vision to use the power of data to unlock innovations and drive business decisions across its organization. In 2021, Showpad decided to take the next step in its data evolution and set forth the vision to power innovation, product decisions, and customer engagement using data-driven insights.