Omid Eidivandiserverlessfolks.hashnode.dev·Sep 10, 2023The meaningfulness of Events via standardization ( Part 4 )In this part of the series, I'll focus on Filtering and Versioning optimization in EDA. Some From The Past In the previous parts, we focused on Event Envelope Promises documenting Validation Filtering Event Driven Design introduces some comple...Discussstandardization
Daniel HavenforSlauth.io - The IAM Copilot's blogblog.slauth.io·Jul 18, 2023Exploring the Need for a Widely Adopted API Protocol in the Cyber IndustryThe cyber industry's rapid growth has revolutionized how we live and work, ushering in a new era of connectivity and digital innovation. However, despite the industry's advancements, a widely adopted API (Application Programming Interface) protocol s...Discuss·47 readsSecurity and IAM trendsAPIs
Abhay swarnakarabhayswarnakar.hashnode.dev·Jun 28, 2023Feature ScalingFeature scaling is a data preprocessing technique that involves transforming the value of features or variables in a dataset to a similar scale. Feature scaling can vary your results a lot while using certain algorithms and have minimal or no effect ...Discuss·1 like·36 readsPython 3
Eng.TipsforEng.TIPSeng.tips·Jun 3, 2023Using Technical Leverage to Fight DebtI've never worked at a company, or even on a team/project, that didn't suffer from and generate "technical debt" in some way, shape, or form. These days, there's no avoiding it. Our industry is moving too fast across too many dimensions for any team ...Discusstechnical-debt
Mayank Sahaicodingmoon.hashnode.dev·Apr 29, 2023ECMA and ECMAScript: What You Need to KnowMany people, whether new to the development field or with experience, have doubts and confusion around ECMA and ECMAScript.😵💫 In this article, we'll get it straight once and for all.😯 Standardization in the Computer Industry: Standardization play...Discuss·47 readsECMA and ECMAScriptJavaScript
Akash Kumarakashkunwar.hashnode.dev·Apr 17, 2023Understanding the Differences Between Normalization and Standardization of DataIn data analysis, normalization and standardization are two common techniques used to prepare data for further analysis or modeling. The purpose of both techniques is to convert numerical data to a common scale to eliminate the effects of differences...Discussnormalization
