Remove Applications Remove Continuous Integration Remove Data Engineering Remove Microservices
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AWS Amplify or Kinvey for External Databases, Identity Providers and DevOps

Progress

AWS Amplify is a set of libraries, UI components, and a command line interface to build a mobile backend and integrate with your mobile and web apps. AWS Amplify is a good choice as a development platform when: Your team is proficient with building applications on AWS with DevOps, Cloud Services and Data Engineers.

AWS 52
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AWS Amplify or Kinvey for External Databases, Identity Providers and DevOps

Progress

AWS Amplify is a set of libraries, UI components, and a command line interface to build a mobile backend and integrate with your mobile and web apps. AWS Amplify is a good choice as a development platform when: Your team is proficient with building applications on AWS with DevOps, Cloud Services and Data Engineers.

AWS 52
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Machine Learning with Python, Jupyter, KSQL and TensorFlow

Confluent

This blog post focuses on how the Kafka ecosystem can help solve the impedance mismatch between data scientists, data engineers and production engineers. Impedance mismatch between data scientists, data engineers and production engineers. integration) and preprocessing need to run at scale.

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160+ live online training courses opened for May and June

O'Reilly Media - Ideas

Real-Time Streaming Analytics and Algorithms for AI Applications , May 15. Data science and data tools. Practical Linux Command Line for Data Engineers and Analysts , May 20. First Steps in Data Analysis , May 20. Data Analysis Paradigms in the Tidyverse , May 30. Systems engineering and operations.

Course 44
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AWS Amplify or Kinvey for External Databases, Identity Providers and DevOps

Progress

AWS Amplify is a set of libraries, UI components, and a command line interface to build a mobile backend and integrate with your mobile and web apps. AWS Amplify is a good choice as a development platform when: Your team is proficient with building applications on AWS with DevOps, Cloud Services and Data Engineers.

AWS 10
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Technology Trends for 2023

O'Reilly Media - Ideas

The two are closely related, of course; while the concept of design patterns is applicable to any programming paradigm, object-oriented programming (particularly Java, C#, and C++) is where they’ve taken hold. For several years, microservices has been one of the most popular topics in software architecture, and this year is no exception.

Trends 131
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Data Gravity in Cloud Networks: Achieving Escape Velocity

Kentik

In an ideal world, organizations can establish a single, citadel-like data center that accumulates data and hosts their applications and all associated services, all while enjoying a customer base that is also geographically close. Dallas, Texas, is where our customer data was backed up for reliability/fault tolerance.

Network 59