Data Engineering Podcast
Tobias Macey
Data Engineering Podcast
Tobias Macey
Monday 27 June 2022 : Summary The proliferation of sensors and GPS devices has dramatically increased the number of applications for spatial data, and the need...
Monday 27 June 2022 : Summary The most complicated part of data engineering is the effort involved in making the raw data fit into the narrative of the business....
Sunday 19 June 2022 : Summary Data analysis is a valuable exercise that is often out of reach of non-technical users as a result of the complexity of data...
Sunday 19 June 2022 : Summary Metadata is the lifeblood of your data platform, providing information about what is happening in your systems. A variety of...
Monday 13 June 2022 : Summary Building a well rounded and effective data team is an iterative process, and the first hire can set the stage for future success or...
Monday 13 June 2022 : Summary Unstructured data takes many forms in an organization. From a data engineering perspective that often means things like JSON files,...
Monday 06 June 2022 : Summary The best way to make sure that you don’t leak sensitive data is to never have it in the first place. The team at Skyflow decided...
Monday 06 June 2022 : Summary Cloud services have made highly scalable and performant data platforms economical and manageable for data teams. However, they are...
Monday 30 May 2022 : Summary A large fraction of data engineering work involves moving data from one storage location to another in order to support different...
Monday 30 May 2022 : Summary The latest generation of data warehouse platforms have brought unprecedented operational simplicity and effectively infinite scale....
Monday 23 May 2022 : Summary The interfaces and design cues that a tool offers can have a massive impact on who is able to use it and the tasks that they are...
Monday 23 May 2022 : Summary Machine learning has become a meaningful target for data applications, bringing with it an increase in the complexity of...
Monday 16 May 2022 : Summary Industrial applications are one of the primary adopters of Internet of Things (IoT) technologies, with business critical operations...
Monday 16 May 2022 : Summary Designing a data platform is a complex and iterative undertaking which requires accounting for many conflicting needs. Designing a...
Monday 09 May 2022 : Summary Dan Delorey helped to build the core technologies of Google’s cloud data services for many years before embarking on his latest...
Monday 09 May 2022 : Summary Many of the events, ideas, and objects that we try to represent through data have a high degree of connectivity in the real world....
Monday 02 May 2022 : Summary The predominant pattern for data integration in the cloud has become extract, load, and then transform or ELT. Matillion was an...
Monday 02 May 2022 : Summary Building a data platform is an iterative and evolutionary process that requires collaboration with internal stakeholders to ensure...
Sunday 24 April 2022 : Summary A huge amount of effort goes into modeling and shaping data to make it available for analytical purposes. This is often due to the...
Sunday 24 April 2022 : Summary There are very few tools which are equally useful for data engineers, data scientists, and machine learning engineers. WhyLogs is a...
Monday 18 April 2022 : Summary The next paradigm shift in computing is coming in the form of quantum technologies. Quantum procesors have gained significant...
Saturday 16 April 2022 : Summary Putting machine learning models into production and keeping them there requires investing in well-managed systems to manage the full...
Monday 11 April 2022 : Summary Data engineering is a practice that is multi-faceted and requires integration with a large number of systems. This often means...
Sunday 10 April 2022 : Summary Any time that you are storing data about people there are a number of privacy and security considerations that come with it. Privacy...
Sunday 03 April 2022 : Summary The flexibility of software oriented data workflows is useful for fulfilling complex requirements, but for simple and repetitious...
Data Engineering Podcast
Tobias Macey
Bring Geospatial Analytics Across Disparate Datasets Into Your Toolkit With The Unfolded Platform
Summary The proliferation of sensors and GPS devices has dramatically increased the number of applications for spatial data, and the need...
Strategies And Tactics For A Successful Master Data Management Implementation
Summary The most complicated part of data engineering is the effort involved in making the raw data fit into the narrative of the business....
Combining The Simplicity Of Spreadsheets With The Power Of Modern Data Infrastructure At Canvas
Summary Data analysis is a valuable exercise that is often out of reach of non-technical users as a result of the complexity of data...
Level Up Your Data Platform With Active Metadata
Summary Metadata is the lifeblood of your data platform, providing information about what is happening in your systems. A variety of...
Hire And Scale Your Data Team With Intention
Summary Building a well rounded and effective data team is an iterative process, and the first hire can set the stage for future success or...
Discover And De-Clutter Your Unstructured Data With Aparavi
Summary Unstructured data takes many forms in an organization. From a data engineering perspective that often means things like JSON files,...
Simplify Data Security For Sensitive Information With The Skyflow Data Privacy Vault
Summary The best way to make sure that you don’t leak sensitive data is to never have it in the first place. The team at Skyflow decided...
Bringing The Modern Data Stack To Everyone With Y42
Summary Cloud services have made highly scalable and performant data platforms economical and manageable for data teams. However, they are...
A Multipurpose Database For Transactions And Analytics To Simplify Your Data Architecture With Singlestore
Summary A large fraction of data engineering work involves moving data from one storage location to another in order to support different...
Data Cloud Cost Optimization With Bluesky Data
Summary The latest generation of data warehouse platforms have brought unprecedented operational simplicity and effectively infinite scale....
Unlocking The Value Of Data Across The Organization Through User Friendly Data Tools With Prophecy
Summary The interfaces and design cues that a tool offers can have a massive impact on who is able to use it and the tasks that they are...
Cloud Native Data Orchestration For Machine Learning And Data Engineering With Flyte
Summary Machine learning has become a meaningful target for data applications, bringing with it an increase in the complexity of...
Designing And Deploying IoT Analytics For Industrial Applications At Vopak
Summary Industrial applications are one of the primary adopters of Internet of Things (IoT) technologies, with business critical operations...
Insights And Advice On Building A Data Lake Platform From Someone Who Learned The Hard Way
Summary Designing a data platform is a complex and iterative undertaking which requires accounting for many conflicting needs. Designing a...
Exploring The Insights And Impact Of Dan Delorey's Distinguished Career In Data
Summary Dan Delorey helped to build the core technologies of Google’s cloud data services for many years before embarking on his latest...
Scaling Analysis of Connected Data And Modeling Complex Relationships With The TigerGraph Graph Database
Summary Many of the events, ideas, and objects that we try to represent through data have a high degree of connectivity in the real world....
Leading The Charge For The ELT Data Integration Pattern For Cloud Data Warehouses At Matillion
Summary The predominant pattern for data integration in the cloud has become extract, load, and then transform or ELT. Matillion was an...
Evolving And Scaling The Data Platform at Yotpo
Summary Building a data platform is an iterative and evolutionary process that requires collaboration with internal stakeholders to ensure...
Operational Analytics At Speed With Minimal Busy Work Using Incorta
Summary A huge amount of effort goes into modeling and shaping data to make it available for analytical purposes. This is often due to the...
Gain Visibility Into Your Entire Machine Learning System Using Data Logging With WhyLogs
Summary There are very few tools which are equally useful for data engineers, data scientists, and machine learning engineers. WhyLogs is a...
Connecting To The Next Frontier Of Computing With Quantum Networks
Summary The next paradigm shift in computing is coming in the form of quantum technologies. Quantum procesors have gained significant...
What Does It Really Mean To Do MLOps And What Is The Data Engineer's Role?
Summary Putting machine learning models into production and keeping them there requires investing in well-managed systems to manage the full...
DataOps As A Service For Your Data Integration Workflows With Rivery
Summary Data engineering is a practice that is multi-faceted and requires integration with a large number of systems. This often means...
Synthetic Data As A Service For Simplifying Privacy Engineering With Gretel
Summary Any time that you are storing data about people there are a number of privacy and security considerations that come with it. Privacy...
Accelerate Development Of Enterprise Analytics With The Coalesce Visual Workflow Builder
Summary The flexibility of software oriented data workflows is useful for fulfilling complex requirements, but for simple and repetitious...
