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Implement data warehousing solution using dbt on Amazon Redshift

AWS Big Data

Seeds – These are CSV files in your dbt project (typically in your seeds directory), which dbt can load into your data warehouse using the dbt seed command. This includes the host, port, database name, user name, and password. An Amazon Simple Storage (Amazon S3) bucket to host documentation files. project-dir.

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Setting up and Getting Started with Cloudera’s New SQL AI Assistant

Cloudera

Please refer to the product documentation for more information about specific releases. Supported AI models and services The SQL AI Assistant is not bundled with a specific LLM; instead it supports various LLMs and hosting services. Log in to the Cloudera Data Warehouse service as DWAdmin. or higher on the public cloud.

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Break data silos and stream your CDC data with Amazon Redshift streaming and Amazon MSK

AWS Big Data

A CDC-based approach captures the data changes and makes them available in data warehouses for further analytics in real-time. usually a data warehouse) needs to reflect those changes in near real-time. This post showcases how to use streaming ingestion to bring data to Amazon Redshift.

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How to enable Cloudera Data Visualization in CDW

Cloudera

In our previous blog post we introduced Cloudera Data Visualization in Cloudera Data Warehouse (CDW) available in tech preview, in CDP Public Cloud. This blog will help you get started with Cloudera Data Visualization, so you can start building interesting and powerful applications on all types of data.

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Power enterprise-grade Data Vaults with Amazon Redshift – Part 2

AWS Big Data

Amazon Redshift is a popular cloud data warehouse, offering a fully managed cloud-based service that seamlessly integrates with an organization’s Amazon Simple Storage Service (Amazon S3) data lake, real-time streams, machine learning (ML) workflows, transactional workflows, and much more—all while providing up to 7.9x

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The Top Three Entangled Trends in Data Architectures: Data Mesh, Data Fabric, and Hybrid Architectures

Cloudera

Data mesh conceptual hierarchy. Instead of having a central team that manages all the data for a company, the thinking is that the responsibility of generating, curating, documenting, updating, and managing data should be distributed across the company based on whichever team is best suited to produce and own that data.

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How Data Governance Protects Sensitive Data

erwin

And knowing the business purpose translates into actively governing personal data against potential privacy and security violations. Do You Know Where Your Sensitive Data Is? Data is a valuable asset used to operate, manage and grow a business.