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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
Paving The Road For Fast Analytics On Distributed Clouds With The Yellowbrick Data Warehouse - E190
Summary
The data warehouse has become the focal point of the modern data platform. With increased usage of data across businesses, and a diversity of locations and environments where data needs to be managed, the warehouse engine needs to be fast and easy to manage. Yellowbrick is a data warehouse…
Summary
The data warehouse has become the focal…
28 May 2021 | 00:52:41
Easily Build Advanced Similarity Search With The Pinecone Vector Database - E189
Summary
Machine learning models use vectors as the natural mechanism for representing their internal state. The problem is that in order for the models to integrate with external systems their internal state has to be translated into a lower dimension. To eliminate this impedance mismatch Edo…
Summary
Machine learning models use vectors as…
25 May 2021 | 00:46:48
A Holistic Approach To Data Governance Through Self Reflection At Collibra - E188
Summary
Data governance is a phrase that means many different things to many different people. This is because it is actually a concept that encompasses the entire lifecycle of data, across all of the people in an organization who interact with it. Stijn Christiaens co-founded Collibra with the…
Summary
Data governance is a phrase that means…
21 May 2021 | 00:55:53
Unlocking The Power of Data Lineage In Your Platform with OpenLineage - E187
Summary
Data lineage is the common thread that ties together all of your data pipelines, workflows, and systems. In order to get a holistic understanding of your data quality, where errors are occurring, or how a report was constructed you need to track the lineage of the data from beginning to…
Summary
Data lineage is the common thread that…
18 May 2021 | 00:57:39
Building Your Data Warehouse On Top Of PostgreSQL - E186
Summary
There is a lot of attention on the database market and cloud data warehouses. While they provide a measure of convenience, they also require you to sacrifice a certain amount of control over your data. If you want to build a warehouse that gives you both control and flexibility then you…
Summary
There is a lot of attention on the…
14 May 2021 | 01:15:07
Making Analytical APIs Fast With Tinybird - E185
Summary
Building an API for real-time data is a challenging project. Making it robust, scalable, and fast is a full time job. The team at Tinybird wants to make it easy to turn a continuous stream of data into a production ready API or data product. In this episode CEO Jorge Sancha explains how…
Summary
Building an API for real-time data is a…
11 May 2021 | 00:54:24
Making Spark Cloud Native At Data Mechanics - E184
Summary
Spark is one of the most well-known frameworks for data processing, whether for batch or streaming, ETL or ML, and at any scale. Because of its popularity it has been deployed on every kind of platform you can think of. In this episode Jean-Yves Stephan shares the work that he is doing at…
Summary
Spark is one of the most well-known…
07 May 2021 | 00:40:16
The Grand Vision And Present Reality of DataOps - E183
Summary
The Data industry is changing rapidly, and one of the most active areas of growth is automation of data workflows. Taking cues from the DevOps movement of the past decade data professionals are orienting around the concept of DataOps. More than just a collection of tools, there are a number…
Summary
The Data industry is changing rapidly,…
04 May 2021 | 00:57:08
Self Service Data Exploration And Dashboarding With Superset - E182
Summary
The reason for collecting, cleaning, and organizing data is to make it usable by the organization. One of the most common and widely used methods of access is through a business intelligence dashboard. Superset is an open source option that has…
27 April 2021 | 00:47:25
Moving Machine Learning Into The Data Pipeline at Cherre - E181
Summary
Most of the time when you think about a data pipeline or ETL job what comes to mind is a purely mechanistic progression of functions that move data from point A to point B. Sometimes, however, one of those transformations is actually a full-fledged machine learning project in its own right.…
Summary
Most of the time when you think about a…
20 April 2021 | 00:48:05