Space and Time’s Post

&Types of SQL Command& 1]DDL 2]DML 3]DCL 4]TCL 5]DQL SQL commands can be categorized into five main types: 1. DDL (Data Definition Language): Defines and modifies database structures. Examples: CREATE: Creates a new table or database. ALTER: Modifies an existing table or database structure. DROP: Deletes a table or database. 2. DML (Data Manipulation Language): Manages and manipulates data within tables. Examples: SELECT: Retrieves data from tables. INSERT: Adds new records to a table. UPDATE: Modifies existing records. DELETE: Removes records from a table. 3. DCL (Data Control Language): Controls access and permissions to the database. Examples: GRANT: Gives users specific privileges. REVOKE: Removes previously granted privileges. 4. TCL (Transaction Control Language): Manages transactions in the database. Examples: COMMIT: Saves all changes made in the current transaction. ROLLBACK: Undoes changes made in the current transaction. SAVEPOINT: Sets a point to which you can roll back. 5. DQL (Data Query Language): Focuses on querying and retrieving data. Examples: SELECT: Used to query data from one or more tables #Sppu #Blockchaindeveloper #DBMS #Database #Blockchain #Bitcoin #etherium #Management #fronendandbackend #Google #Microsoft

📊 Data Windowing in PostgreSQL: Unleashing the Power of SQL for Advanced Analytics Just published an in-depth article on implementing data windowing in PostgreSQL without writing additional code. Here's why it matters: 🔹 Efficient data aggregation and organization 🔹 Powerful insights from time-series data 🔹 Real-world application using OHLC crypto market data We dive into: 1️⃣ Generating group numbers 2️⃣ Creating sub-group references 3️⃣ Handling missing data points 4️⃣ Renumbering for effective organization Key takeaway: PostgreSQL's advanced SQL capabilities make complex data windowing operations accessible and efficient. Whether you're in finance, data science, or any field dealing with time-series data, this technique can significantly enhance your analytical capabilities. Read the full article to master data windowing and elevate your PostgreSQL skills! https://lnkd.in/d6FNFZDW #DataAnalysis #PostgreSQL #SQL #DataScience #Cryptocurrency

The best way to practice your SQL skills is to dive headfirst into on-chain analysis. The opportunities in web3 for honing your SQL skills are unmatched. The first thing you'll notice in web3 is the sheer amount of data you can access, and it's all real-time and on-chain. It's a stark contrast to web2 where finding a good dataset feels like searching for a needle in a haystack. For anyone keen on brushing up their SQL skills, web3 feels like striking gold. Here, data isn't just available; it's practically waiting for you to explore and analyze. But here’s where the real fun begins. Web3's visualization platforms, such as Flipside and Dune, don’t just use SQL; they require you to be good at it. You start with a SQL query and that query becomes the foundation of your dashboard. In essence, the strength of your query decides the quality of your dashboard, making every project a direct reflection of your SQL skill level. It's a practical, hands-on approach where your ability to craft precise, effective queries leads to insightful, valuable dashboards. I put this approach to the test myself with a project analyzing the SEI network using Flipside. For those interested, I’ve detailed the marketing insights I was able to pull from the data in a Medium post linked below. You can also check out the dashboard using the link at the bottom of the post. #web3marketing #web3analysis #onchainanalysis https://lnkd.in/d5r-6h7K

How do databases handle concurrent operations? 🔀 Let's envision a scenario where you're transferring money (let's say 100Rs) from your account to your friend's account. At the database level, this transfer of money would be executed via a database "write" transaction. This transaction would involve debiting the money from your account and simultaneously crediting the money to your friend's account. Imagine a scenario where, at a specific time instance (let's call it time T), the money has been debited from your account but not yet credited to your friend's account during a transaction. If someone attempts to read your account balance and your friend's account balance at time T, it will appear as if the money has vanished from the bank. This situation arises due to inconsistent reads, where read transactions are permitted to access inconsistent and uncommitted data from the database, even though the write transaction has not been fully completed, i.e., the 100Rs has not been credited to your friend's account. In this scenario, to prevent inconsistent reads, a type of lock known as a "Read-Write Lock" is required, which blocks all reads until the write operation is completed. However, locks can lead to resource contention, especially if multiple write operations occur simultaneously, causing multiple threads to be blocked until one thread completes writing the data. The main question that arises in this situation is: How do we achieve maximum concurrency with minimum contention? The answer lies in Multi-Version Concurrency Control (MVCC). This approach allows for multiple versions of data to coexist concurrently, enabling readers to access consistent snapshots of the data while writers are updating it. By maintaining separate versions of data, MVCC minimizes contention and optimizes concurrency, thus providing a more efficient and scalable solution compared to traditional locking mechanisms. To know more go to: https://lnkd.in/dx9tyh-H #databases #technology #technologynews #technologyfacts #startups #dbms #management #coder #developerlife #solutionsarchitect #systemdesign #solutionsarchitecture #databaseconcepts #concepts #programming #coderlife #business #concurrency #locks #database #databasedesign #mysql #sql #relationaldatabase #nosql #startup #bigdata #analytics #datascience #machinelearning #education

Broctagon Fintech Group has achieved 300% user growth and revolutionised its FX Trading with MongoDB Atlas! Broctagon's AXIS platform is a comprehensive solution that integrates multiple trading platforms but they were struggling with their existing relational database as demand grew. The company faced issues with scalability, rising costs, declining performance, and slowed innovation. The switch to MongoDB Atlas has yielded: 📍300% growth in user base within a year, now supporting over 1.5 million traders globally. 📍Ability to provision AXIS to new brokerages in just 24 hours, down from 3 days. 📍Report generation up to 10 times faster. 📍Support for 13 languages and integration with various payment solutions. 📍Launch of innovative features like the proprietary trading module. This success story has definitely set a new industry standard. Stewart Garrett, Céline Zuberek, Samantha Seow, Kevin Lim 林德义, Eunice Ng, Samyak Sabat, Fabian Au, Keagan Schmitz, Ban Selvakumar, Shreyaa C., Joe Toh, Emanuele Molteni, Hussain Boltwala, Anand Krishnan #MongoDB #ArtificialIntelligence #Innovation

What Goes Around Comes Around... And Around... SQL and the relational model. "Another wave of developers will claim that SQL and the RM are insufficient for emerging application domains... However, we do not expect these new data models to supplant the RM." "Blockchain Databases: An inefficient technology looking for an application. History has shown this is the wrong way to approach systems development." "Developers need to query their database directly.... ORMs are a vital tool for rapid prototyping {{are they really?}}. But they often sacrifice the ability to push logic into the DBMS in exchange for interoperability with multiple DBMSs {{that is rarely used or needed}} ." "...any product not starting with a cloud offering will likely fail."

https://lnkd.in/e2Q6QwDt Interesting article about storing hugh amount of data...never heard of ScyllaDB...also remarkable that RUST was favored over C++ to resolve concurrency issues...

What are the TCL Commands in SQL?: Introduction TCL (Transaction Control Language) commands are crucial in SQL overseeing changes enacted by DML (Data Manipulation Language) statements. These commands enable users and database administrators to manage transaction processes, maintaining data consistency and integrity. This article explores the main TCL commands, their functions, and their practical uses.  Learning Objectives What are TCL Commands? TCL […] The post What are the TCL Commands in SQL? appeared first on Analytics Vidhya. #DataAnalytics #DataScience #DataDriven #SaaS #CIO #Blockchain #BigDataAnalytics #DeepLearning

Did you know you can now use natural language to query your database? Think of the potential this unlocks for your team and users with Langchain + one LLM. Interested? Dive into the quickstart guide: https://lnkd.in/dJXrbiH4 #Database #Langchain

$MDB earnings today 💰 "MongoDB, Inc. develops and provides commercial support for the source-available database engine MongoDB, a NoSQL database that stores data in JSON-like documents with flexible schemas." Fundamentals + Seasonality from TradesViz👇 What do you think? 🤔 #stock #trading #futures #options #tradingperformance #tradingjournal #tradesviz #crypto #trader #stockmarket #forex #stocktrading #daytrader #data #datavisualization #analytics