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Tag: data warehouses

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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Amazon DataZone announces integration with AWS Lake Formation hybrid access mode for the AWS Glue Data Catalog | Amazon Web Services

Last week, we announced the general availability of the integration between Amazon DataZone and AWS Lake Formation hybrid access mode. In this post, we...

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...

Automate large-scale data validation using Amazon EMR and Apache Griffin | Amazon Web Services

Many enterprises are migrating their on-premises data stores to the AWS Cloud. During data migration, a key requirement is to validate all the data...

Tallinn-based Supersimple raises €2 million pre-seed to rethink how companies work with structured data | EU-Startups

Supersimple, an AI-native data analytics platform that enables anyone to explore data and accurately answer complex questions in minutes, today announced €2 million in...

Guide to Migrating from Databricks Delta Lake to Apache Iceberg

Introduction In the fast changing world of big data processing and analytics, the potential management of extensive datasets serves as a foundational pillar for companies...

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...

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,...

Data Integration Tools – DATAVERSITY

Data integration tools are used to collect data from external (and internal) sources, and to reformat, cleanse, and organize the collected data. The ultimate...

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