The breakdown:
00:00 - Intro
02:15 - MLOps Overview
05:03 - Feature Engineering
07:44 - MLOps Workflow
10:44 - Solution: Feature Store
14:25 - Feature Store Competitive Landscape
17:03 - Features of a Feature Store
21:01 - CTO: Feature Store Sneakpeak
25:55 - Python Code example
27:57 - ML Pipeline example
30:07 - Covid-19 Patient Deterioration
33:26 - LIVE DEMO
52:45 - QA
5G is in the process of transforming communications technology, enabling never-before-seen data transfer speeds and high-performance remote computing capabilities. As a cloud-native application, 5G provides advantages in terms of speed, agility, efficiency and robustness.
Transferring data is a hassle if you don't have the right tools, particularly when you're transferring from multiple sources or in various formats. Fortunately, you can use tools to make the entire ETL process simpler and less prone to error. Platforms like Teradata make it easy to get your data where it needs to go.
Flat files are files that contain a representation of a database (aptly named flat file databases), usually in plain text with no markup. CSV files, which separate data fields using comma delimiters, are one common and well-known type of flat file; other types include XML and JSON. Thanks to their simple architecture and lightweight footprint, flat files are a popular choice for representing and storing information.
Apache YuniKorn (Incubating) has just released 0.10.0 (release announcement). As part of this release, a new feature called Gang Scheduling has become available. By leveraging the Gang Scheduling feature, Spark jobs scheduling on Kubernetes becomes more efficient.
The world loves to talk about data, and how valuable it is. Yet, what that really refers to is insights – data by itself is meaningless, and, only from being able to extract insights that you can do something with, does raw information have value.
ISO 27001 certification provides a standardized confirmation for customers regarding security best practices and capabilities.
Businesses can now use Fivetran with the Lakehouse Platform on Google Cloud. We are excited to launch Fivetran support for a newly available solution: Databricks on Google Cloud. We’ve partnered with both Databricks and Google Cloud for many years now, and understand the unique value they each deliver to Fivetran customers, so it was a priority for us to support their joint effort.
