Critical Thinking - Bug Bounty Podcast’s Post

You've likely heard of SQL Injection but have you heard of NoSQL Injection? In this video, I provide a detailed explanation of NoSQL Injection and we get hands-on with both an authentication bypass and pulling a user's clear text password with NoSQL Injection. Finally, I share a custom script I created to automate the process. (Shout out to TryHackMe for the excellent lab!) Video: https://lnkd.in/gzTZz_G2

💉💉 New room NoSQL Injection from TryHackMe: A walkthrough depicting basic NoSQL injections on MongoDB. 💉💉 This is free and an updated of a previously released room 💉 What is NoSQL 💉 NoSQL Injection 💉 Operator Injection: Bypassing the Login Screen 💉 Operator Injection: Logging in as Other Users 💉 Operator Injection: Extracting Users' Passwords 💉 Syntax Injection: Identification and Data Extraction #tryhackme #NoSQL #sqlinjection #nosqlinjection https://lnkd.in/dw5p2Uhc

⬇️ Decrease response times during extensive filtering, data retrieval, and sorting operations using NoSQL databases. 💡 Here's how by Tiago Sousa and José Oliveira, in their new article 💪 🔗 Link to the article in Ana Zagalo's comment. #xgeeks #KIgroup #DataEngineering #SearchEngines #NewArticle

NoSQL Injection Exploiting NoSQL operator injection to extract uknown fields - one of the most awesome exercises AND DONE

🚀 Serialization & Deserialization in Apache Spark Serialization and deserialization play a major role in making Spark applications fast and efficient. Here is how it works 1️⃣ What is Serialization? Serialization is the process of converting an object into a byte stream so that it can be stored or transferred across the network. In Spark, this happens every time data moves between nodes or if there is caching in memory. 2️⃣ What is Deserialization? Deserialization is the reverse process, converting bytes back into an object so Spark can process it. This happens when data is retrieved from storage or transferred between worker nodes ✅ Why Serialization Matters in Spark Efficient serialization: 1️⃣ Speeds up data transfers across nodes, making Spark tasks faster 2️⃣ Reduces memory usage when caching data in memory 3️⃣ Optimizes shuffle operations for wide transformations like join, groupByKey, and reduceByKey by Reducing Network I/O, Reducing Serialization Overhead ✅Java vs. Kryo Serialization Spark offers two major serialization methods: 📍 Java Serialization (Default): Reliable but slower and more memory-intensive  📍 Kryo Serialization: Faster and more compact, ideal for large datasets. Switching to Kryo can boost performance for heavy data jobs. 📝 Best Practices ✅ we should prefer Kryo when dealing with large volumes of data ✅ Register custom classes for serialization to speed up Kryo ✅ Using DataFrames or Datasets for their optimized encoders—these reduce the need for heavy serialization #DataEngineering #ApacheSpark #BigData #DataStorage #SeekhoBigdataInstitute_Karthik_Kondpak

Understanding Database Types 🔍 To make informed decisions for our projects, it's crucial to grasp the different types of databases available in the market. By understanding the key characteristics of each database type and exploring popular options, we can effectively compare their use cases. Subscribe to our weekly newsletter for a free 158-page System Design PDF: [Qodek.io](https://www.qodek.io) 📚💻 Examples: - Relational Databases - NoSQL Databases - Graph Databases Real Application Insights 🚀 Explore the world of database types and make informed decisions for your projects. Join us at Qodek.io to dive deeper into database technologies and enhance your skills. 💡 #DatabaseTypes #SystemDesign #Coding #InterviewTips #Qodek

Apache Cassandra 5.0 is now General Availability (GA)! 🎉 This major release significantly improves performance, usability, and capabilities for the world's most powerful distributed database. Key features include: - Storage Attached Indexes (SAI) for improved query flexibility - Trie Memtables and SSTables for enhanced efficiency - JDK 17 support for better performance - Unified Compaction Strategy for improved node density - Vector Search capabilities for AI applications - Dynamic Data Masking for improved security 🔗 and more at: https://lnkd.in/e3k35MTK ⚠ As a reminder, the Cassandra 5.0 launch marks the end of the 3.x series. Users are encouraged to plan their upgrade strategy soon. 🔗 Blog: https://lnkd.in/eJT-VsuF ⬇ Download: https://lnkd.in/dU__DRmQ 🤝 Learn more about Cassandra 5.0 at CommunityOverCode in Denver, October 7-10, 2024. https://lnkd.in/gpY6fUkN

How To Series : NoSQL Injection Vulnerability Detection https://lnkd.in/dxgyeJgA

#100daysofALXSE Day 87: I was introduced to NoSQL. I noticed the difference between its schema and that of MSQL, including differences in string syntaxes. In NoSQL, databases store collections, which in turn have documents within them. Data stored in NoSQL is usually unstructured, which makes it very flexible in usage and retention. It is usually more beneficial in large and data-intensive applications because it is easily scalable. #ALX_SE #DoHardThings

Discover how open-source Postgres is shaping the future of data in our latest blog. Developed by global community volunteers, Postgres has released major versions annually since 1986. EDB is proud to drive the future of open-source for transactional, analytical, and AI workloads with Postgres. Learn more about why Postgres is the future-proof database for enterprises here >> https://lnkd.in/eDesXCFm #Postgres #PostgreSQL #justsolveitwithPostgres #EDBPostgresAI #data #AI #database #DBA #opensource