From 95320c41c9a4d4c786e20bcb07a13ed5d27f29f7 Mon Sep 17 00:00:00 2001 From: Shay Molcho <152275799+shaymolcho@users.noreply.github.com> Date: Thu, 23 Jan 2025 12:05:51 +0200 Subject: [PATCH] Improve punctuation and formatting in README MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit Enhanced punctuation and formatting in the README. These changes enhance the document’s clarity and maintain a uniform structure. --- README.md | 8 ++++---- 1 file changed, 4 insertions(+), 4 deletions(-) diff --git a/README.md b/README.md index 90d2a6aca65..2a6f079ac5c 100644 --- a/README.md +++ b/README.md @@ -50,7 +50,7 @@ Additional topics for interview prep:

-The provided [Anki flashcard decks](https://apps.ankiweb.net/) use spaced repetition to help you retain key system design concepts. +The provided [Anki flashcard decks](https://apps.ankiweb.net/) use spaced repetition to help you retain key system design concepts: * [System design deck](https://github.com/donnemartin/system-design-primer/tree/master/resources/flash_cards/System%20Design.apkg) * [System design exercises deck](https://github.com/donnemartin/system-design-primer/tree/master/resources/flash_cards/System%20Design%20Exercises.apkg) @@ -225,7 +225,7 @@ You can use the following steps to guide the discussion. To help solidify this ### Step 1: Outline use cases, constraints, and assumptions -Gather requirements and scope the problem. Ask questions to clarify use cases and constraints. Discuss assumptions. +Gather requirements and scope the problem. Ask questions to clarify use cases and constraints. Discuss assumptions: * Who is going to use it? * How are they going to use it? @@ -238,7 +238,7 @@ Gather requirements and scope the problem. Ask questions to clarify use cases a ### Step 2: Create a high level design -Outline a high level design with all important components. +Outline a high level design with all important components: * Sketch the main components and connections * Justify your ideas @@ -1116,7 +1116,7 @@ Reasons for **NoSQL**: * Very data intensive workload * Very high throughput for IOPS -Sample data well-suited for NoSQL: +Sample data well-suited for **NoSQL**: * Rapid ingest of clickstream and log data * Leaderboard or scoring data