What's New In Data

Building a Multi-Cloud Data Fabric for Analytics

Dec 8, 2021

58:48

Highlights

AI Chapters

Episode notes

Cloud Computing

01:32

Is There a Reduced Cost in Multi Cloud?

04:02

The Data Lake Versus the Data Warehouse

03:45

Introduction

2min

Why You Need a Data Lake

2min

Data Lake - The Data Lake Is a Great Way to Quickly and Easily Query Data

4min

Are You Seeing More Use Cases With Data Warehouse and Data Lake?

4min

Is There a Single Cloud or Multi Cloud?

4min

Is There a Reduced Cost in Multi Cloud?

4min

Cloud Computing

2min

Using a Third Party Product to Extract the Latest Changes in a Table

4min

Azure Data Factory - The Best Way to Save Time and Money

2min

10.

A Data Fabric Is a Data Warehouse

5min

11.

Is There a Difference Between a Data Lake and a Relational Database?

3min

12.

Decentralization of the Data Mesh

4min

13.

Data Mesh Is the Theory of It All, but We Need to Technology Behind It to Make It Effective

2min

14.

Data Mesh - The Number One Problem I've Seen With Customers

2min

15.

Data Mesh

3min

16.

Streaming ETL Versus Batchloading?

3min

17.

The Data Lake Versus the Data Warehouse

4min

18.

The Difference Between Snowflake and Synapse

4min

19.

Data Fabric and Data Match - What's the Key Difference?

3min

The Striim team sits down with James Serra from Ernst & Young to discuss the benefits of a Modern Data Fabric.

What's New In Data is a data thought leadership series hosted by John Kutay who leads data and products at Striim. What's New In Data hosts industry practitioners to discuss latest trends, common patterns for real world data patterns, and analytics success stories.