Towards AWS’ Post

How can you gain insights from a DynamoDB table? While relational databases utilize SQL, querying DynamoDB requires a different approach. I recently completed a hands-on project on AWS that you can try too: Create a new DynamoDB table and upload sample data using AWS CloudShell. Use Partition and Sort keys to retrieve data. Query a DynamoDB table through the console and CLI. For detailed steps, check out my full documentation below. Special thanks to NextWork AmaliTech Aminu Mohammed Twumasi

Indexes are tricky when your database is sharded ⚡ A database needs to be partitioned and sharded when the data goes big or the load surges. So, how would indexes work in such situations? I just published a video explaining how indexes work in a distributed database like DynamoDB, along with the trade-offs they make, and the pros and cons of picking one over another. give it a watch - youtu.be/eQ3eNd5WbH8 Note: this fundamental concept holds for any distributed database in the world and is an essential building block for you to understand and use them better. ⚡ I keep writing and sharing my practical experience and learnings every day, so if you resonate then follow along. I keep it no fluff. #AsliEngineering #DatabaseFundamentals #SystemDesign

🚀 DynamoDB's Import from S3 Now Supports Up To 50,000 Objects! . Why Is This A Cool Update? . Before this update it was common to merge objects stored in S3 into a larger, single file or a smaller number of files before running a bulk import. . This process is necessary to reduce the number of files being imported into DynamoDB in order to stay under the limitations on the number of objects that can be imported in a single import job. . This new update allows up to 50,000 S3 objects in a single import, reducing the need to combine files beforehand and simplifying the import process. . If you are new to S3-To-DynamoDB-Import, here are some key aspects I've put together: . 1️⃣ No Code Required: Say goodbye to custom scripts and hello to a seamless, code-free import process. . 2️⃣ Multiple Formats Support: It supports multiple formats like: CSV, DynamoDB JSON, and Amazon Ion formats. . 3️⃣ Effortless Import: Dynamically creates new tables with the necessary partitions, all while managing capacity to ensure a smooth import. . 4️⃣ Cost-Efficiency: Charges are based on the uncompressed size, offering a budget-friendly solution, without consuming any DynamoDB table capacity units. . If you're looking to refine your data strategies, incorporating this feature might be your next best move. #AWS #DynamoDB #AWScommunity

🌟 **𝗗𝗔𝗬 𝟭𝟵 #𝟵𝟬𝗗𝗮𝘆𝘀𝗢𝗳𝗗𝗲𝘃𝗢𝗽𝘀 𝗧𝗔𝗦𝗞: 𝗗𝗢𝗖𝗞𝗘𝗥 𝗙𝗢𝗥 𝗗𝗘𝗩𝗢𝗣𝗦 𝗘𝗡𝗚𝗜𝗡𝗘𝗘𝗥𝗦** 🌟 Continuing my journey in the Docker realm, I’m excited to share that I’ve learned how to create a **docker-compose.yml** file and push it to my repository. Today, we’re diving deeper into essential concepts of **DOCKER VOLUME** and **𝐃𝐎𝐂𝐊𝐄𝐑 𝐍𝐄𝐓𝐖𝐎𝐑𝐊**! 😃 ### 📦 **𝗗𝗢𝗖𝗞𝗘𝗥 𝗩𝗢𝗟𝗨𝗠𝗘**   Docker Volumes are like separate storage areas accessible by containers. They allow you to store data, such as databases, outside of the container, ensuring that data isn’t lost when a container is removed. Plus, multiple containers can mount the same volume, enabling data sharing! For more details, check out this reference. ### 🌐 **𝗗𝗢𝗖𝗞𝗘𝗥 𝗡𝗘𝗧𝗪𝗢𝗥𝗞**   Docker Networks let you create virtual networks to connect multiple containers, allowing seamless communication between them and with the host machine. While each container has its own storage space, we use volumes for sharing storage between containers. For more details, check out this reference. ### 🛠️ **𝐓𝐀𝐒𝐊𝐒 𝐅𝐎𝐑 𝐓𝐎𝐃𝐀𝐘:** 1️⃣ **𝐂𝐑𝐄𝐀𝐓𝐄 𝐀 𝐌𝐔𝐋𝐓𝐈-𝐂𝐎𝐍𝐓𝐀𝐈𝐍𝐄𝐑 𝐃𝐎𝐂𝐊𝐄𝐑-𝐂𝐎𝐌𝐏𝐎𝐒𝐄 𝐅𝐈𝐋𝐄**     🔹 Bring up and down containers in a single shot (e.g., create application and database containers).     🔹 Use `docker-compose up -d` to start the application in detached mode.     🔹 Utilize `docker-compose scale` to adjust the number of replicas for a specific service.     🔹 Check container status with `docker-compose ps` and view logs with `docker-compose logs`.     🔹 Use `docker-compose down` to stop and remove all associated containers, networks, and volumes. ⚙️ 2️⃣ **𝐋𝐄𝐀𝐑𝐍 𝐓𝐎 𝐔𝐒𝐄 𝐃𝐎𝐂𝐊𝐄𝐑 𝐕𝐎𝐋𝐔𝐌𝐄𝐒 𝐀𝐍𝐃 𝐍𝐀𝐌𝐄𝐃 𝐕𝐎𝐋𝐔𝐌𝐄𝐒 **     🔹 Share files and directories between multiple containers.     🔹 Create two or more containers that read and write data to the same volume using the `docker run --mount` command.     🔹 Verify data consistency across containers with the `docker exec` command.     🔹 List all volumes using `docker volume ls` and remove them when done with `docker volume rm`. 🗑️ I’m thrilled to enhance my skills in containerization and orchestration! 💪 If you’re also on a DevOps journey, let’s connect and share our experiences! 🤝 #Docker #DevOps #DockerCompose #DockerVolume #DockerNetwork #ContinuousLearning #Containerization #shubhamlondhe #TrainWithShubham

Here are 7 lessons I learned from building with DynamoDB after a few years. 1. Shifting my perspective of how SQL works and adopting a "know nothing" mindset, helped me learn DynamoDB really effectively. 2. DynamoDB enables a more product-driven design. You have think and plan about your access patterns first and foremost. 3. The entire system is designed to let you "never make a inefficient query". This makes DynamoDB so effective when latency is a requirement. 4. Like everything else, tradeoffs must be considered. Do I prioritize availability, performance and scalability or rather complex filters and consistency? 5. Consider your business needs first. DynamoDB isn't a one size fits all, but when it is the right fit, its more powerful and efficient than anything similar to it. 6. Understanding the partitioning and B-tree structure of the data internally has helped me literally supercharge my DynamoDB databases. The single table design is another huge concept that changed everything about DDB. 7. If they can do it, so can you. I read daily about small-big businesses building or migrating to DynamoDB and their successes. If they can do it, anyone can do it by understanding how DDB's system works. I've written about most of my experiences, learnings and tips I've picked up along the way. You can find all of my articles on DynamoDB here: https://lnkd.in/euzS8eRZ What would you add about your experience with DynamoDB? --- Like this post? 🛎️ Follow Uriel Bitton to learn more about building with DynamoDB ♻️ Repost to share it with your network ☕️ Need DynamoDB/database help? Grab the link under my name.

When should you use the Single Table Design in DynamoDB? I've got the tendency to use it in every database I design. Most of the time it works like magic. But it doesn't always fit. Here are use cases when you want to use it: - you have a lot of relational data - you have hierarchical type data - you're creating too many tables - your querying multiple tables to fetch data Here are some use cases when you don't want to use it: - you have highly unrelated data - you need to perform mostly/large analytical queries - multi tenant applications - you can still use the STD but not between apps The most important thing to know is when to use it and when not to use it. I've heard of stories where the single table design saved hundreds of dollars a month. I've also heard stories of people leaving DynamoDB because they didn't know how to use the Single Table Design properly. Now once you know it's a good fit for your use case, how do you implement it? This is one of the topics that I will talk about in my 7 day DynamoDB email course. If you're struggling with DynamoDB or even database scalability, you'll love this free course. Sign up for free below: https://lnkd.in/eU2Wz3vd #dynamodb #email #course #singletabledesign #database #aws

Hey Folks! Trust we are all doing great 🙂. I will be sharing an insight on how to read large file from S3 Bucket using the DynamoDB. Below you can see the created procedure. Step1: Load the large Object into the Amazon S3 Bucket Step 2: Generate an Object key from the S3 Bucket and store the Metadata of that Object into the DynamoDB which will contain the partition ID, sork ID and Attributes. step3: Read the Metadata from the DynamoDB and extract the large object with the metadata from the Amazon S3 Bucket with your Application, then you can perform the syncing in the application between the Metadata and Image File. Please for query purposes, you can query the DynamoDB but its not advisable to query S3 Bucket because the S3 Bucket sole aim is for storage and not for reading data with Query. The DynamoDB table could only contain 400kb of data making it pretty small to hold large data set. Hence, the Amazon S3 is the perfect storage system to hold large data in various structure or format. For structure, it can hold a structured, semi-structured and unstructured data and for format you can load images, videos, files, documents in the S3 Bucket. You can also create a Lambda function to trigger events from the S3 bucket into the DynamoDB in Metadata, the Client could use an API to get Metadata Object from the DynamoDB and triggers the Lambda to fetch the Object insync with the Metadata from the S3 Bucket. These are two ways you can use DynamoDB with Amazon S3 Bucket for large Object storage. #DataEngineer #DataBaseAdministrator #DataAnalyst

This quickstart focuses on the process of deployments via Terraform to create an #AzureCosmosDB database and a container within that database. You can later store data in this container. https://lnkd.in/eiVBQBhm

Hi Linkedin Community A Great List of Tech Articles to Read This Weekend: 1)10 Data Structures That Make Databases Fast and Scalable: by Ashish Pratap Singh:https://lnkd.in/g3sGhTUK 2) Build your own Uptime Monitoring Service by John Crickett:https://lnkd.in/gMCmYcsJ 3)The Journey of a SQL Query Through a Database : By Saurabh Dashora https://lnkd.in/g3dFjkzK 4)Let me explain SSO using a more practical example: Logging into Slack using Google Workspace (formerly G Suite)! By Brij kishore Pandey https://lnkd.in/gsjJ9WbT 5)Why and How to Build Your Personal Brand on LinkedIn ? By Hemant Pandey https://lnkd.in/gwSF6CWT 6)6 Common API Architecture Styles 🔥 By 🧡 By Nina Fernanda Durán https://lnkd.in/gKgFU-5z 7)The backbone of scalable systems isn’t just code—it’s message queues 🤔: By Abhishek Kumar https://lnkd.in/gHwtgJu7 8)How to build your own Redis By Nikki Siapno : https://lnkd.in/gXBZtyyd 9) How Databases Keep Passwords Securely 🔒 : By Neo Kim:https://lnkd.in/g8_wBMAt 10)If you use Kafka or are interested to learn, why is Kafka fast? Give it a read 👇 By Mayank Ahuja :https://lnkd.in/gf9bccW6 11)Must Know System Design Building Blocks : By Alex Xu https://lnkd.in/gny78mJw 12)What’s an event and what should be inside? By Raul Junco: https://lnkd.in/gam9Ug57 13)The Behavioral: STOP Making These Mistakes! By Jade Wilson :https://lnkd.in/gzuADbiE 14)How to keep learning new skills and advancing as software engineers while maintaining a work-life balance. By Fernando Franco: https://lnkd.in/gZAG4JDG 15) Message Queues v/s Message Brokers By Vivek Bansal https://lnkd.in/gK6Mgwm8 16)💡 How does Exit Codes impact debugging and Troubleshooting By Suman Chakraborty https://lnkd.in/grBBTJy2 17) What is the new Route-level render mode introduced in hashtag#Angular v19 🤔 By 🚀 Roberto Heckers https://lnkd.in/gg5tv2Tc 18) Just a few months after the launch of ChatGPT and hundreds of LLMs, some university servers started crashing. The cause: webcrawlers. By sukhad anand: https://lnkd.in/gwk-Eq4K 19)Why sessionStorage Is a Game-Changer for Temporary Web Data By Edi Rodriguez:https://lnkd.in/gD4cyJty 20) If You are an Engineer ,You need to learn an AI: By Alexandre Zajac https://lnkd.in/g8xvmtvx 21)Six core computer science projects that I absolutely loved doing during my bachelor's and master's. By Arpit Bhayani : https://lnkd.in/g7eZ6mmb 22)Seize your opportunity to shine. By Omar Halabieh:https://lnkd.in/gr7uic6w 23)HTTP has come a long, long way; here is the history behind HTTP 🎉 By Mahesh Mallikarjunaiah ↗️:https://lnkd.in/g7EdHR3j 24)How I got 27 hours in a week by installing one tool Jordan Cutler:https://lnkd.in/gm7Nv62G 25)Use range with Maps for iterating key-value pairs By Branko Pitulic:https://lnkd.in/gGuNEZ2f Happy Weekend Everyone

CockroachDB is a distributed SQL database built on a transactional and strongly-consistent key-value store. It scales horizontally; survives disk, machine, rack, and even datacenter failures with minimal latency disruption and no manual intervention; supports strongly-consistent ACID transactions; and provides a familiar SQL API for structuring, manipulating, and querying data.