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Data Engineering Podcast
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.
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Tobias Macey
Tobias Macey
Using FoundationDB As The Bedrock For Your Distributed Systems - E80
Summary
The database market continues to expand, offering systems that are suited to virtually every use case. But what happens if you need something customized to your application? FoundationDB is a distributed key-value store that provides the primitives that you need to build a custom database…
Summary
The database market continues to expand,…
07 May 2019 | 01:06:02
Running Your Database On Kubernetes With KubeDB - E79
Summary
Kubernetes is a driving force in the renaissance around deploying and running applications. However, managing the database layer is still a separate concern. The KubeDB project was created as a way of providing a simple mechanism for running your storage system in the same platform as your…
Summary
Kubernetes is a driving force in the…
29 April 2019 | 00:50:55
Unpacking Fauna: A Global Scale Cloud Native Database - E78
Summary
One of the biggest challenges for any business trying to grow and reach customers globally is how to scale their data storage. FaunaDB is a cloud native database built by the engineers behind Twitter’s infrastructure and designed to serve the needs of modern systems. Evan Weaver is…
Summary
One of the biggest challenges for any…
22 April 2019 | 00:53:51
Index Your Big Data With Pilosa For Faster Analytics - E77
Summary
Database indexes are critical to ensure fast lookups of your data, but they are inherently tied to the database engine. Pilosa is rewriting that equation by providing a flexible, scalable, performant engine for building an index of your data to enable high-speed aggregate analysis. In this…
Summary
Database indexes are critical to ensure…
15 April 2019 | 00:43:42
Serverless Data Pipelines On DataCoral - E76
Summary
How much time do you spend maintaining your data pipeline? How much end user value does that provide? Raghu Murthy founded DataCoral as a way to abstract the low level details of ETL so that you can focus on the actual problem that you are trying to solve. In this episode he explains his…
Summary
How much time do you spend maintaining…
08 April 2019 | 00:53:42
Why Analytics Projects Fail And What To Do About It - E75
Summary
Analytics projects fail all the time, resulting in lost opportunities and wasted resources. There are a number of factors that contribute to that failure and not all of them are under our control. However, many of them are and as data engineers we can help to keep our projects on the path…
Summary
Analytics projects fail all the time,…
01 April 2019 | 00:36:30
Building An Enterprise Data Fabric At CluedIn - E74
Summary
Data integration is one of the most challenging aspects of any data platform, especially as the variety of data sources and formats grow. Enterprise organizations feel this acutely due to the silos that occur naturally across business units. The CluedIn team experienced this issue…
Summary
Data integration is one of the most…
25 March 2019 | 00:57:50
A DataOps vs DevOps Cookoff In The Data Kitchen - E73
Summary
Delivering a data analytics project on time and with accurate information is critical to the success of any business. DataOps is a set of practices to increase the probability of success by creating value early and often, and using feedback loops to keep your project on course. In this…
Summary
Delivering a data analytics project on…
18 March 2019 | 00:54:31
Customer Analytics At Scale With Segment - E72
Summary
Customer analytics is a problem domain that has given rise to its own industry. In order to gain a full understanding of what your users are doing and how best to serve them you may need to send data to multiple services, each with their own tracking code or APIs. To simplify this process…
Summary
Customer analytics is a problem domain…
04 March 2019 | 00:47:47
Deep Learning For Data Engineers - E71
Summary
Deep learning is the latest class of technology that is gaining widespread interest. As data engineers we are responsible for building and managing the platforms that power these models. To help us understand what is involved, we are joined this week by Thomas Henson. In this episode he…
Summary
Deep learning is the latest class of…
25 February 2019 | 00:42:46