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Sponsored Post: Fauna, Sisu, Educative, PA File Sight, Etleap, PerfOps, Triplebyte, Stream

High Scalability

Sisu Data is looking for machine learning engineers who are eager to deliver their features end-to-end, from Jupyter notebook to production, and provide actionable insights to businesses based on their first-party, streaming, and structured relational data. Apply here. Make your job search O (1), not O ( n ). Apply here.

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Sponsored Post: Fauna, Sisu, Educative, PA File Sight, Etleap, PerfOps, Triplebyte, Stream

High Scalability

Sisu Data is looking for machine learning engineers who are eager to deliver their features end-to-end, from Jupyter notebook to production, and provide actionable insights to businesses based on their first-party, streaming, and structured relational data. Apply here. Make your job search O (1), not O ( n ). Apply here.

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Sponsored Post: Fauna, Sisu, Educative, PA File Sight, Etleap, PerfOps, Triplebyte, Stream

High Scalability

Sisu Data is looking for machine learning engineers who are eager to deliver their features end-to-end, from Jupyter notebook to production, and provide actionable insights to businesses based on their first-party, streaming, and structured relational data. Apply here. Make your job search O (1), not O ( n ). Apply here.

article thumbnail

Sponsored Post: Fauna, Sisu, Educative, PA File Sight, Etleap, PerfOps, Triplebyte, Stream

High Scalability

Sisu Data is looking for machine learning engineers who are eager to deliver their features end-to-end, from Jupyter notebook to production, and provide actionable insights to businesses based on their first-party, streaming, and structured relational data. Apply here. Make your job search O (1), not O ( n ). Apply here.

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Orchestrating Data/ML Workflows at Scale With Netflix Maestro

The Netflix TechBlog

It is a general-purpose workflow orchestrator that provides a fully managed workflow-as-a-service (WAAS) to the data platform at Netflix. It serves thousands of users, including data scientists, data engineers, machine learning engineers, software engineers, content producers, and business analysts, for various use cases.

Java 202
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Microservices Adoption in 2020

O'Reilly

Software engineers comprise the survey audience’s single largest cluster, over one quarter (27%) of respondents (Figure 1). software and systems architects, technical leads—architects represent almost 28% of the sample. Use of a Central, Managed Database. Respondent Demographics. Figure 1: Respondent roles.

Database 135