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Netflix at AWS re:Invent 2019

Netflix Tech

4:45pm-5:45pm NFX 209 File system as a service at Netflix Kishore Kasi , Senior Software Engineer Abstract : As Netflix grows in original content creation, its need for storage is also increasing at a rapid pace. Technology advancements in content creation and consumption have also increased its data footprint. Wednesday?—?December

AWS 40
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Netflix at AWS re:Invent 2019

Netflix Tech

4:45pm-5:45pm NFX 209 File system as a service at Netflix Kishore Kasi , Senior Software Engineer Abstract : As Netflix grows in original content creation, its need for storage is also increasing at a rapid pace. Technology advancements in content creation and consumption have also increased its data footprint. Wednesday?—?December

AWS 40
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Netflix at AWS re:Invent 2019

Netflix Tech

4:45pm-5:45pm NFX 209 File system as a service at Netflix Kishore Kasi , Senior Software Engineer Abstract : As Netflix grows in original content creation, its need for storage is also increasing at a rapid pace. Technology advancements in content creation and consumption have also increased its data footprint. Wednesday?—?December

AWS 15
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Azure vs AWS: How to Choose the Cloud Service Provider?

Existek

And companies that have completed it emphasize gained advantages like accessibility, scalability, cost-effectiveness, etc. . Scalable computing customized according to the company’s needs is a fundamental feature to look for. AWS: Elastic Compute Cloud remains the core feature of AWS for scalable computing. Read the article.

Azure 52
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The Good and the Bad of Apache Spark Big Data Processing

Altexsoft

This article will expose Apache Spark architecture, assess its advantages and disadvantages, compare it with other big data technologies, and provide you with the path to learning this impactful instrument. Maintained by the Apache Software Foundation, Apache Spark is an open-source, unified engine designed for large-scale data analytics.

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How to build up a data team (everything I ever learned about recruiting)

Erik Bernhardsson

I strongly believe that data engineers need to understand the full stack from idea, to machine learning algorithm, to code running in production. That’s why I really avoid the “data science” label – most people within this group are generally lacking on the core programming side. Building the right team.

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How to build up a data team (everything I ever learned about recruiting)

Erik Bernhardsson

I strongly believe that data engineers need to understand the full stack from idea, to machine learning algorithm, to code running in production. That’s why I really avoid the “data science” label – most people within this group are generally lacking on the core programming side. Building the right team.