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The Roots of Today's Modern Backend Engineering Practices

The Pragmatic Engineer

Joshua is currently VP of Product & Strategy at VMware, a cloud computing and virtualization technology company. Joshua also writes an excellent Substack newsletter about how to design products which customers love, how to operate live services at scale, grow and optimize your technology orgs, and the history of the tech industry.

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Going from Developer to CEO: Chronosphere

The Pragmatic Engineer

However, Martin had not written a line of production code for the last four years, as he’s taken on the role of CEO, and heads up observability scaleup Chronosphere – at more than 250 people and growing. From learning to code in Australia, to working in Silicon Valley How did I learn to code?

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Bun: lessons from disrupting a tech ecosystem

The Pragmatic Engineer

Bun has other contributors, but Jared writes the lion’s share of code. Its top focus is performance, and according to benchmarks shared in the launch video , around 10x performance increases can be observed when building packages, running code, or handling inbound requests on a server.

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How and Why NetSpring is Building the Next Generation of Product Analytics on Snowflake

Snowflake

The resulting changes to business models and basic technologies spawned next-generation capabilities for practically every category of software, including product analytics. Next-gen product analytics is now warehouse-native, an architectural approach that allows for the separation of code and data.

BI 83
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Create a New React Project From Scratch [Step-by-Step Guide]

Knowledge Hut

If you are an aspiring web developer who wants to establish their career in React and other modern frontend technologies, these tutorials will provide you the basic understanding that you need to learn, rehearse and practice. Technology is a work in progress. Before we learn React. It is designed based on the client server concept.

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Apache Spark vs MapReduce: A Detailed Comparison

Knowledge Hut

Market Demands for Spark and MapReduce Apache Spark was originally developed in 2009 at UC Berkeley by the team who later founded Databricks. Most cutting-edge technology organizations like Netflix, Apple, Facebook, and Uber have massive Spark clusters for data processing and analytics. Where is Spark Usually Used?

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15 Data Visualization Projects for Beginners with Source Code

ProjectPro

According to the Massachusetts Institute of Technology, 90% of the information transmitted to the brain is visual. Get FREE Access to Machine Learning Example Codes for Data Cleaning, Data Munging, and Data Visualization 3) Boxplot with Seaborn Seaborn is another statistical graphics library in Python built on top of matplotlib.

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