How to Build a Modern Data Warehouse

In this video we'll show you how to build or adapt your data warehouse to meet the challenges of the modern data landscape, including:

- Cloud locations (often multiple clouds)
- Massive data streams from machine learning, AI, IoT and more
- Structured and semi-structured data
- The need for reports and insights to be delivered faster and more reliably

Areas we cover include:

- What a modern data warehouse architecture should look like
- Solving the typical challenges that companies see when integrating wide ranges of data sources into their warehouse
- New technologies to help you build effective and scalable warehouses

00:00 Introduction
02:55 How the data landscape is changing
06:20 Impact of the cloud on your data warehouse
09:29 Data processing trends
12:23 Data structure trends
15:09 The need for data agility
16:11 What a modern data warehouse looks like
19:48 Data lake vs data warehouse
22:07 From data lake to relational database
23:35 Handling source data
26:32 Dealing with high velocity data
29:56 DataOps and DevOps
32:00 Providing data to consumers