In this video, GT and Marcus are working through the guts of data analytics, including ETL, compute for ML, and storage. These stages are where the data engineering and data analytics really come into play. Tune in, and take note of GT's super relevant database credentials...and an interesting storage analogy, straight from the kitchen.
- Category
- Extreme Networks
- Tags
- etl, data handling, compute
Be the first to comment
Up Next
Autoplay
-
05:38
RouterOS enterprise Data Server: storage, networking, compute... ALL-IN-ONE!
-
15:39
Analytics in 15: Don’t Create More Data Silos! Use CDC and Data Streaming- AWS Analytics in 15
-
06:46
Process Data from Kinesis Data Streams with Kinesis Data Analytics | Amazon Web Services
-
12:40
Handle Late or Duplicated Data and Archive Events for On-Demand Replay | 5/5
-
01:06
Pure Storage and Mercedes F1 - Real-Time Data Analytics
-
05:27
How do I configure an AWS AppSync schema to handle nested JSON data in DynamoDB?
-
05:06
BookMyShow: How BMS Scaled Data Analytics to Handle 28M Ticket Sales with Modern Data Architecture
-
10:14
Speed Up Data Analytics with Pure Storage | Lightboard Session
-
19:13
Data Center Demand: Compute, Memory, Storage, and Networking | Intel Business
-
19:13
Data Center Demand: Compute, Memory, Storage, and Networking | Intel Technology
-
12:25
How to Set Up WooCommerce Product Filters for Your Online Store
-
08:51
Best AI Content Writers in 2025: Our Top Picks
-
07:05
How to Set Up Email on Apple Mail in Minutes | Hostinger
-
14:47
How to Create a Professional Fitness Website With Ease
-
10:15
How to Host an Ark Server: Hostinger Tutorial
-
14:14
How to Build a Small Business Website | From Zero to Launch
-
17:31
10 Hobbies for Students That ACTUALLY Make You Money
-
05:49
SSH Connection Refused: 6 Methods to Fix It (Hostinger Tutorial)
-
17:01
How to Create a Business Website with AI | Fast & Easy!
-
12:56
How to Build a WordPress Website With AI