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Tag: data warehouse

Master Data vs. Reference Data – DATAVERSITY

The terms “master data” and “reference data” can be confused fairly easily. Both provide data that changes only occasionally over time and provide data...

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7 Steps to Mastering Data Engineering – KDnuggets

Image by Author  Data engineering refers to the process of creating and maintaining structures and systems that collect, store, and transform data into a...

Achieve near real time operational analytics using Amazon Aurora PostgreSQL zero-ETL integration with Amazon Redshift | Amazon Web Services

“Data is at the center of every application, process, and business decision. When data is...

How Aura from Unity revolutionized their big data pipeline with Amazon Redshift Serverless | Amazon Web Services

This post is co-written with  Amir Souchami and  Fabian Szenkier from Unity. Aura from Unity (formerly known...

Use Apache Iceberg in your data lake with Amazon S3, AWS Glue, and Snowflake | Amazon Web Services

This post is co-written with Andries Engelbrecht and Scott Teal from Snowflake. Businesses are constantly evolving, and...

Data Modeling Demystified: Crafting Efficient Databases for Business Insights

Introduction This article will introduce the concept of data modeling, a crucial process that outlines how data is stored, organized, and accessed within a database...

Data Lakehouse Architecture 101 – DATAVERSITY

A data lakehouse, in the simplest terms, combines the best functionalities of a data lake and a data warehouse. It offers a unified platform...

Create an end-to-end data strategy for Customer 360 on AWS | Amazon Web Services

Customer 360 (C360) provides a complete and unified view of a customer’s interactions and behavior across all touchpoints and channels. This view is used...

Exploring real-time streaming for generative AI Applications | Amazon Web Services

Foundation models (FMs) are large machine learning (ML) models trained on a broad spectrum of unlabeled and generalized datasets. FMs, as the name suggests,...

Unlock insights on Amazon RDS for MySQL data with zero-ETL integration to Amazon Redshift | Amazon Web Services

Amazon Relational Database Service (Amazon RDS) for MySQL zero-ETL integration with Amazon Redshift was announced in preview at AWS re:Invent 2023 for Amazon RDS...

Announcing data filtering for Amazon Aurora MySQL zero-ETL integration with Amazon Redshift | Amazon Web Services

As your organization becomes more data driven and uses data as a source of competitive advantage, you’ll want to run analytics on your data...

In-Memory Databases: An Overview – DATAVERSITY

In-memory databases work faster than databases with disk storage. This is because they use “internal” optimization algorithms, which are simpler and faster, and this...

Data Warehouse vs. Database – DATAVERSITY

What are data warehouses and databases? How are they different, and when should you use a data warehouse vs. database to store data? Below,...

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