Remove Analytics Architecture Remove Architecture Remove Data Warehouse
article thumbnail

Modern Customer Data Platform Principles

Data Engineering Podcast

Summary Databases and analytics architectures have gone through several generational shifts. A substantial amount of the data that is being managed in these systems is related to customers and their interactions with an organization. How has that changed the architectural approach to CDPs? Want to see Starburst in action?

Data Lake 147
article thumbnail

Beginners Guide to Azure Synapse Analytics for Data Engineers

ProjectPro

This beginner's guide will give you a detailed overview of Azure Synapse Analytics and its architecture to help you build enterprise-grade data pipelines for your next data analytics project. Table of Contents What is Azure Synapse Analytics? Why Use Azure Synapse Analytics For Big Data Analytics Projects?

Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

article thumbnail

A Prequel to Data Mesh

Towards Data Science

My personal take on justifying the existence of Data Mesh A senior stakeholder at one my projects mentioned that they wanted to decentralise their data platform architecture and democratise data across the organisation. When I heard the words ‘decentralised data architecture’, I was left utterly confused at first!

article thumbnail

Implementing a Pharma Data Mesh using DataOps

DataKitchen

Below is our fourth post (4 of 5) on combining data mesh with DataOps to foster innovation while addressing the challenges of a decentralized architecture. We’ve covered the basic ideas behind data mesh and some of the difficulties that must be managed. Figure 1: Data requirements for phases of the drug product lifecycle.

article thumbnail

An Exploration Of The Expectations, Ecosystem, and Realities Of Real-Time Data Applications

Data Engineering Podcast

Select Star’s data discovery platform solves that out of the box, with an automated catalog that includes lineage from where the data originated, all the way to which dashboards rely on it and who is viewing them every day. Can you describe what is driving the adoption of real-time analytics?

article thumbnail

An In-Depth Guide to Real-Time Analytics

Striim

What’s the difference between real-time analytics and streaming analytics? Streaming analytics focuses on analyzing data in motion, unlike traditional analytics, which deals with data stored in databases or data warehouses.

article thumbnail

Data Engineering Weekly #107

Data Engineering Weekly

The author narrates how OS-C adopted Data Contract and federated data governance strategy to help fight against climate change. link] Sponsored: Why You Should Care About Dimensional Data Modeling It's easy to overlook all of the magic that happens inside the data warehouse.