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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
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21 August 2021 | 00:27:38
Migrate And Modify Your Data Platform Confidently With Compilerworks - E213
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A major concern that comes up when selecting a vendor or technology for storing and managing your data is vendor lock-in. What happens if the vendor fails? What if the technology can’t do what I need it to? Compilerworks set out to reduce the pain and complexity of migrating between…
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A major concern that comes up when…
18 August 2021 | 01:06:09
Prepare Your Unstructured Data For Machine Learning And Computer Vision Without The Toil Using Activeloop - E212
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The vast majority of data tools and platforms that you hear about are designed for working with structured, text-based data. What do you do when you need to manage unstructured information, or build a computer vision model? Activeloop was created for exactly that purpose. In this episode…
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The vast majority of data tools and…
15 August 2021 | 00:48:39
Build Trust In Your Data By Understanding Where It Comes From And How It Is Used With Stemma - E211
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All of the fancy data platform tools and shiny dashboards that you use are pointless if the consumers of your analysis don’t have trust in the answers. Stemma helps you establish and maintain that trust by giving visibility into who is using what data, annotating the reports with…
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10 August 2021 | 00:52:37
Data Discovery From Dashboards To Databases With Castor - E210
Summary
Every organization needs to be able to use data to answer questions about their business. The trouble is that the data is usually spread across a wide and shifting array of systems, from databases to dashboards. The other challenge is that even if you do find the information you…
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Every organization needs to be able to…
07 August 2021 | 00:52:47
Charting A Path For Streaming Data To Fill Your Data Lake With Hudi - E209
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Data lake architectures have largely been biased toward batch processing workflows due to the volume of data that they are designed for. With more real-time requirements and the increasing use of streaming data there has been a struggle to merge fast, incremental updates with large,…
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Data lake architectures have largely been…
03 August 2021 | 01:09:37
Adding Context And Comprehension To Your Analytics Through Data Discovery With SelectStar - E208
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Companies of all sizes and industries are trying to use the data that they and their customers generate to survive and thrive in the modern economy. As a result, they are relying on a constantly growing number of data sources being accessed by an increasingly varied set of users. In order…
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Companies of all sizes and industries are…
31 July 2021 | 00:51:23
Building a Multi-Tenant Managed Platform For Streaming Data With Pulsar at Datastax - E207
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Everyone expects data to be transmitted, processed, and updated instantly as more and more products integrate streaming data. The technology to make that possible has been around for a number of years, but the barriers to adoption have still been high due to the level of technical…
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Bringing The Metrics Layer To The Masses With Transform - E206
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Strategies For Proactive Data Quality Management - E205
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Data quality is a concern that has been gaining attention alongside the rising importance of analytics for business success. Many solutions rely on hand-coded rules for catching known bugs, or statistical analysis of records to detect anomalies retroactively. While those are useful tools,…
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