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Fundamentals of Data Engineering

Xebia

All the stages of the data engineer lifecycle must consider the previously listed undercurrents to function properly. In-stream processing intends to serve the data with the lowest possible latency in a “speed” layer, usually a NoSQL database. The central thesis is to stream process all the data. Data disappears.

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Serverless Cloud – Why you should consider going serverless?

Trigent

From client-server to servers in internet data centers to cloud computing and now ….serverless. Cloud computing enabled establishments to move their infrastructure from Capex to Opex, where companies could now hire their infrastructure instead of investing in expensive hardware and software. serverless.

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A Firewall Admin’s Introduction to Serverless Security

Palo Alto Networks

From Next-Generation Firewalls protecting network segments in data centers to WildFire preventing zero-day exploits, and from cloud security with Prisma Cloud to the cutting edge of endpoint protection with Cortex XDR, we encounter and learn from it all. Each event source might send data in a different format.

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How to Effectively Scale Up Your App To Handle 1 Million Users?

Xicom

Manage The Load of Users: If you maintain the user experience in your app, then definitely the number of users will rapidly increase. In case, if you are using a traditional data center for managing the current workload, then it is best to leverage cloud for your on-premises solutions to scale your app efficiency under a limited budget.

SOA 52
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Where Programming, Ops, AI, and the Cloud are Headed in 2021

O'Reilly Media - Ideas

in 2008 and continuing with Java 8 in 2014, programming languages have added higher-order functions (lambdas) and other “functional” features. Cloud computing has replaced data centers, colocation facilities, and in-house machine rooms. AWS Lambda) only change the nature of the beast. Starting with Python 3.0