How to create a great app icon for Google Play | Ankit Mittal posted on the topic | LinkedIn (2024)

Ever faced the challenge of optimizing database queries for faster performance? Here's a pro tip: Utilize indexing effectively to supercharge your database queries! By strategically indexing columns frequently used in WHERE clauses or JOIN conditions, you can significantly speed up query execution time and improve overall application performance. Remember, it's not just about indexing every column blindly. Analyze your query patterns and choose the right columns to index for maximum impact. Have you tried this trick before? Share your experiences or questions below! Let's level up our full-stack development game together. #database #backendDevelopment #dbms #optimisation

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4 common mistakes backend developers do:1. Overlooking Security Concerns: Backend engineers may sometimes prioritize functionality over security, leading to vulnerabilities in the system. This could include improper input validation, inadequate access controls, or failing to encrypt sensitive data. Neglecting security measures can leave the application vulnerable to attacks such as SQL injection, cross-site scripting (XSS), or data breaches, compromising user privacy and system integrity.2. Ignoring Scalability: Backend engineers may focus solely on solving immediate requirements without considering the long-term scalability of the system. This can result in architectures that struggle to handle increased traffic or data volume as the application grows. Failure to design for scalability may lead to performance issues, downtime during peak usage periods, and ultimately, a poor user experience.3. Lack of Documentation: Documentation is often an afterthought for backend engineers, especially when deadlines are tight. However, inadequate documentation can hinder collaboration among team members, make it difficult to onboard new developers, and lead to misunderstandings or errors during maintenance or updates.4. Not Knowing Basics of Frontend: Backend engineers who lack a basic understanding of frontend development principles may struggle to collaborate effectively with frontend teams. This can result in misaligned expectations, delays in implementing frontend features, and inconsistencies in the user interface.By addressing these common mistakes, backend engineers can enhance the security, scalability, maintainability, and overall success of their projects while fostering better collaboration and communication within their teams.#backenddevelopment #softwareengineering #softwaredevelopment

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Story: ACID is the pillar of dbms. Let's understand it!Once upon a time, in the big world of data, there was a small family named Database Design. In this family, there were four important guidelines called ACID: Atomicity, Consistency, Isolation, and Durability.Atomicity: Imagine you're cooking a dish. Atomicity means either the dish gets cooked fully, or it doesn't get cooked at all. Just like that, in the database world, either all changes happen, or none happen, keeping everything in order.Consistency: which is like keeping things organized. Think of it as arranging your toys neatly in a row. Consistency makes sure that everything in the database stays organized and correct, without any mess.Isolation: which is like having your own space to play without others bothering you. In the database, it means that one action doesn't interfere with another. Each action happens separately, just like how you play without others disturbing you.Durability: which is all about keeping things safe. Imagine you build a sandcastle, and even if a big wave comes, it doesn't wash it away. Durability in the database means that once something is saved, it stays saved, no matter what happens.So, in the kingdom of Database Design, ACID rules keep everything running smoothly. They make sure data is safe, organized, and reliable, which is super important in our digital world.#database #dbms #acid #databasedesign

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Why do we need `sudo` Command in Linux?The `sudo` command is pivotal in Linux administration, ensuring both security and operational efficiency.Enhancing Security:1. Access Control Mechanism: `sudo` restricts users to predefined privileges, preventing unauthorized system modifications.2. Preventing Unauthorized Access: Users can execute commands with elevated privileges only when necessary, reducing security risks.3. Auditability and Accountability: `sudo` logs all commands, enhancing system transparency and accountability.Streamlining Administration:1. Granular Privilege Delegation: Administrators can assign specific permissions, optimizing resource utilization.2. Facilitating Collaboration: `sudo` enables temporary privilege elevation, fostering teamwork while maintaining security.3. Safeguarding System Integrity: Selective privilege escalation prevents unintended system modifications, ensuring stability.Best Practices:1. Principle of Least Privilege: Grant minimal access required for user roles, balancing security and productivity.2. Regular Auditing: Periodically review `sudo` configurations to align with security policies and user roles.3. User Education: Educate users on `sudo` best practices to promote security awareness and accountability.`sudo` is indispensable for Linux security and administration, offering access control, accountability, and operational efficiency. Embracing its usage is crucial for maintaining system integrity and optimizing administrative workflows in diverse computing environments.#linux #linuxcommands #sudo

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I think Swiggy and Zomato can do this similarly. So that I don't spend 30 minutes searching for the food I want to eat. what's your take on this ? Do you love finding that perfect meal or want quick limited options solution.#fomo #fooddelivery #designthinking

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Advanced SQL Concept: Rank and Dense Rank1. RANK:RANK() is a window function in SQL that assigns a rank to each row within a partition of a result set. The rank is determined by the order specified in the ORDER BY clause of the function. Here's a simplified breakdown of how RANK() works:It assigns unique ranks to each distinct value in the ordered partition.If multiple rows have the same value, they receive the same rank, and the number of tied rows then increments the next rank.The ranking skips the following ranks after the tied rows, leaving no gaps in the ranking sequence.For example, consider a leaderboard where users are ranked based on their scores. If multiple users have the same score, they will share the same rank, and the next rank will be incremented accordingly.2. DENSE_RANK:DENSE_RANK() is another window function in SQL that assigns a rank to each row within a result set, similar to RANK(). However, unlike RANK(), DENSE_RANK() does not leave gaps in the ranking sequence when there are ties. Here's how it differs:It assigns a unique rank to each distinct value in the ordered partition, just like RANK().When multiple rows have the same value, they all receive the same rank, and the next rank is incremented by one without skipping any ranks.Using the same leaderboard example, if multiple users have the same score, DENSE_RANK() will assign them consecutive ranks without gaps, ensuring each rank is unique.Comparison:RANK() might leave gaps in the ranking sequence when there are ties, whereas DENSE_RANK() ensures consecutive ranks without gaps.RANK() is applicable when you want to handle ties by leaving gaps in the ranking sequence, while DENSE_RANK() is preferred when you need continuous ranks without gaps.In summary, RANK() and DENSE_RANK() are powerful tools for ranking data in SQL. Understanding their differences lets you choose the appropriate function based on your use case. Whether you need gaps in the ranking sequence or continuous ranks, these functions provide valuable insights into your data and enhance your analytical capabilities.#sql #sqlqueries #postgresql #mysql #dbms

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Did you also feel a bit scared like me seeing AI progress so fast, that after a year or so it will pass us in every way? On a side note I'm excited to use devin and share my experience with you, whenever available. share your experiences, using AI?#ai #devin #cognition #tech4dev

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3 common mistakes freshers do in software development!!1. Insufficient understanding of data structures and algorithms: Freshers may not have a deep understanding of fundamental data structures and algorithms. This can lead to inefficient code solutions and missed opportunities for optimization. It's essential for them to invest time in mastering data structures and algorithms to write more efficient and scalable code.2. Poor version control practices: Freshers may not fully grasp the importance of version control systems like Git or may not use them effectively. This can result in code conflicts, lost work, and difficulty in collaborating with team members. Understanding branching, merging, and commit practices is crucial for effective collaboration and code management.3. Neglecting software testing: Some freshers may underestimate the importance of testing and debugging in software development. They may write code without considering edge cases or fail to write comprehensive test cases. This can result in buggy software and costly rework later on. Freshers should prioritize writing automated tests, performing thorough manual testing, and debugging their code to ensure its reliability and stability.so don't make these mistakes and build better software products. share some mistakes you have made at the start of your journey !! #softwaredevelopment #fresher #developer

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comment below, how do you choose it ?

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