Data Engineering Podcast
A podcast by Tobias Macey - Domenica
Categorie:
419 Episodio
-
Eliminate Friction In Your Data Platform Through Unified Metadata Using OpenMetadata
Pubblicato: 10/11/2021 -
Business Intelligence Beyond The Dashboard With ClicData
Pubblicato: 06/11/2021 -
Exploring The Evolution And Adoption of Customer Data Platforms and Reverse ETL
Pubblicato: 05/11/2021 -
Removing The Barrier To Exploratory Analytics with Activity Schema and Narrator
Pubblicato: 29/10/2021 -
Streaming Data Pipelines Made SQL With Decodable
Pubblicato: 29/10/2021 -
Data Exploration For Business Users Powered By Analytics Engineering With Lightdash
Pubblicato: 23/10/2021 -
Completing The Feedback Loop Of Data Through Operational Analytics With Census
Pubblicato: 21/10/2021 -
Bringing The Power Of The DataHub Real-Time Metadata Graph To Everyone At Acryl Data
Pubblicato: 16/10/2021 -
How And Why To Become Data Driven As A Business
Pubblicato: 14/10/2021 -
Make Your Business Metrics Reusable With Open Source Headless BI Using Metriql
Pubblicato: 08/10/2021 -
Adding Support For Distributed Transactions To The Redpanda Streaming Engine
Pubblicato: 06/10/2021 -
Building Real-Time Data Platforms For Large Volumes Of Information With Aerospike
Pubblicato: 02/10/2021 -
Delivering Your Personal Data Cloud With Prifina
Pubblicato: 30/09/2021 -
Digging Into Data Reliability Engineering
Pubblicato: 26/09/2021 -
Massively Parallel Data Processing In Python Without The Effort Using Bodo
Pubblicato: 25/09/2021 -
Declarative Machine Learning Without The Operational Overhead Using Continual
Pubblicato: 19/09/2021 -
An Exploration Of The Data Engineering Requirements For Bioinformatics
Pubblicato: 19/09/2021 -
Setting The Stage For The Next Chapter Of The Cassandra Database
Pubblicato: 12/09/2021 -
A View From The Round Table Of Gartner's Cool Vendors
Pubblicato: 09/09/2021 -
Designing And Building Data Platforms As A Product
Pubblicato: 04/09/2021
This show goes behind the scenes for the tools, techniques, and difficulties associated with the discipline of data engineering. Databases, workflows, automation, and data manipulation are just some of the topics that you will find here.