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
How CloverDX can help your data warehousing project: https://www.cloverdx.com/solutions/da...
More about the CloverDX data platform: https://www.cloverdx.com/product
Request a CloverDX demo: https://www.cloverdx.com/demo
Follow CloverDX on LinkedIn: / cloverdx
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