Remove AWS Remove Data Remove Engineering Remove GCP(Google Cloud Platform)
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Snow Angels Come Early to Data : Snowflake's Strength Spells Success for Startups

Tom Tunguz

" As with many other companies reporting strength in the market, AI & unstructured data workloads are fueling growth. ” Unstructured data is the growth engine : 17x growth y/y suggests a small number last year, but phenomenal interest. Consumption of unstructured data was up 17x year-over-year.

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The 4 Questions Startups Should Ask Themselves about Building with Generative AI

Tom Tunguz

Layer : application, platform, or infrastructure? In the cloud, AWS, Azure, & GCP have created about as much market cap as all the top 100 B2B & B2C publics built on cloud (Netflix, ServiceNow, AirBnb, etc). Access to proprietary data provides a moat. Moats : how to develop competitive advantage?

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Moving ChartMogul to AWS and Kubernetes

Chart Mogul

A few months ago, we retired our last pieces of infrastructure on DigitalOcean, marking our migration to AWS as complete. Our journey was not your regular AWS migration as it involved moving our infrastructure from classic VMs to containers orchestrated by Kubernetes. Ultimately, we decided to go with AWS. Team expertise.

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Data Scientist Job Description and Templates

User Pilot

Interested in data scientist roles? In this guide, we’ll explore the ins and outs of data scientist roles through detailed job descriptions and handy templates. TL;DR A data scientist is someone who uses their knowledge of statistics, programming, and specific industry expertise to extract meaningful information from data.

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Data Scientist Career Path

User Pilot

Starting a career as a data scientist requires understanding the key steps, skills, and experiences needed for success. In this article, we will outline the typical journey for data scientists, covering educational requirements, entry-level positions, potential advancements, and long-term opportunities. Data Analyst (2-4 years) 3.

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Cisco, Google reenergize multicloud/hybrid cloud joint development

IT World

Cisco and Google have expanded their joint cloud-development activities to help customers more easily build secure multicloud and hybrid applications everywhere from on-premises data centers to public clouds. Check out what hybrid cloud computing is and learn what you need to know about multi-cloud.

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IaaS PaaS SaaS: Mastering The 3 Different Cloud Service Models

How To Buy Saas

This may include infrastructural support like storage, security, network equipment, and data centers, as well as comprehensive applications built to perform specific tasks. Virtualization of computing resources Helps manage large physical data centers for physical servers. You can get them all through cloud computing.