OwlTail

Cover image of Allyson Gale

Allyson Gale

4 Podcast Episodes

Latest 9 Oct 2021 | Updated Daily

Weekly hand curated podcast episodes for learning

Episode artwork

Flyte: Lyft Data Processing Platform with Allyson Gale and Ketan Umare

Software Daily

Lyft is a ridesharing company that generates a high volume of data every day. This data includes ride history, pricing information, mapping, routing, and financial transactions. The data is stored across a variety of different databases, data lakes, and queueing systems, and is processed at scale in order to generate machine learning models, reports, and data applications.Data workflows involve a set of interconnected systems such as Kubernetes, Spark, Tensorflow, and Flink. In order for these systems to work together harmoniously, a workflow manager is often used to orchestrate them together. A workflow platform lets a data engineer have a high-level view into how data moves through the system, and can be used to reason about retries, resource utilization, and scalability.Flyte is a data processing system built and open-sourced at Lyft. Allyson Gale and Ketan Umare work at Lyft, and they join the show to talk about how Flyte works, and why they needed to build a new workflow processing system when there are already tools available such as Airflow.

12 Mar 2020

Episode artwork

Flyte: Lyft Data Processing Platform with Allyson Gale and Ketan Umare

Podcast – Software Engineering Daily

Lyft is a ridesharing company that generates a high volume of data every day.  This data includes ride history, pricing information, mapping, routing, and financial transactions. The data is stored across a variety of different databases, data lakes, and queueing systems, and is processed at scale in order to generate machine learning models, reports, and data applications. Data workflows involve a set of interconnected systems such as Kubernetes, Spark, Tensorflow, and Flink. In order for these systems to work together harmoniously, a workflow manager is often used to orchestrate them together. A workflow platform lets a data engineer have a high-level view into how data moves through the system, and can be used to reason about retries, resource utilization, and scalability. Flyte is a data processing system built and open-sourced at Lyft. Allyson Gale and Ketan Umare work at Lyft, and they join the show to talk about how Flyte works, and why they needed to build a new workflow processing system when there are already tools available such as Airflow. Sponsorship inquiries: sponsor@softwareengineeringdaily.com The post Flyte: Lyft Data Processing Platform with Allyson Gale and Ketan Umare appeared first on Software Engineering Daily.

1hr 1min

12 Mar 2020

Similar People

Episode artwork

Flyte: Lyft Data Processing Platform with Allyson Gale and Ketan Umare

Data – Software Engineering Daily

Lyft is a ridesharing company that generates a high volume of data every day.  This data includes ride history, pricing information, mapping, routing, and financial transactions. The data is stored across a variety of different databases, data lakes, and queueing systems, and is processed at scale in order to generate machine learning models, reports, and data applications. Data workflows involve a set of interconnected systems such as Kubernetes, Spark, Tensorflow, and Flink. In order for these systems to work together harmoniously, a workflow manager is often used to orchestrate them together. A workflow platform lets a data engineer have a high-level view into how data moves through the system, and can be used to reason about retries, resource utilization, and scalability. Flyte is a data processing system built and open-sourced at Lyft. Allyson Gale and Ketan Umare work at Lyft, and they join the show to talk about how Flyte works, and why they needed to build a new workflow processing system when there are already tools available such as Airflow. Sponsorship inquiries: sponsor@softwareengineeringdaily.com The post Flyte: Lyft Data Processing Platform with Allyson Gale and Ketan Umare appeared first on Software Engineering Daily.

55mins

12 Mar 2020

Episode artwork

Flyte: Lyft Data Processing Platform with Allyson Gale and Ketan Umare

Software Engineering Daily

Lyft is a ridesharing company that generates a high volume of data every day.  This data includes ride history, pricing information, mapping, routing, and financial transactions. The data is stored across a variety of different databases, data lakes, and queueing systems, and is processed at scale in order to generate machine learning models, reports, and data applications. Data workflows involve a set of interconnected systems such as Kubernetes, Spark, Tensorflow, and Flink. In order for these systems to work together harmoniously, a workflow manager is often used to orchestrate them together. A workflow platform lets a data engineer have a high-level view into how data moves through the system, and can be used to reason about retries, resource utilization, and scalability. Flyte is a data processing system built and open-sourced at Lyft. Allyson Gale and Ketan Umare work at Lyft, and they join the show to talk about how Flyte works, and why they needed to build a new workflow processing system when there are already tools available such as Airflow. Sponsorship inquiries: sponsor@softwareengineeringdaily.com The post Flyte: Lyft Data Processing Platform with Allyson Gale and Ketan Umare appeared first on Software Engineering Daily.

1hr 1min

12 Mar 2020

Most Popular