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Dev

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Streaming SQL in Stateful DataFlows

  • SQL Streaming Queries and Stream Processing Operations is released in Stateful DataFlow Beta 7 running on Fluvio 0.15.2
  • SQL Streaming on Stateful DataFlow allows running ad-hoc queries on saved state objects and materialized views based on live event streams.
  • SQL is considered the universal language of data for making data accessible across different systems and teams.
  • The article explores the challenges and solutions of bridging static and streaming data using SQL syntax for real-time data processing.

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Medium

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SQL vs. Python for Data Analysis: Which One Should You Master First?

  • SQL is a domain-specific language for managing and querying relational databases.
  • Python excels in data manipulation, statistical analysis, and visualization.
  • Use SQL for retrieving, filtering, and aggregating data from databases and managing database structures.
  • Use Python for complex data manipulations, statistical analysis, machine learning, and creating visualizations.

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Medium

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I am trying to insert missing order_ids from the order_details table into the orders table while…

  • Efficiently inserting data into a PostgreSQL database is paramount for maintaining performance and data integrity.
  • Batch insertion is considerably faster than inserting rows individually, especially for large datasets.
  • Properly handling duplicate key violations is crucial for maintaining data integrity in PostgreSQL.
  • Optimizing SQL queries, using appropriate indexes, and minimizing data transfer can significantly improve insertion speed.

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Amazon

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How Mindbody improved query latency and optimized costs using Amazon Aurora PostgreSQL Optimized Reads

  • Mindbody, a technology platform for fitness and wellness businesses, faced scaling and performance challenges due to data growth.
  • They adopted Amazon Aurora PostgreSQL Optimized Reads to improve query latency and reduce costs.
  • The root cause analysis revealed issues with query performance, CPU utilization, and I/O costs.
  • Mindbody transitioned to Aurora Optimized Reads by upgrading the database cluster and creating a proof-of-concept environment.
  • Performance improvements included reduced CPU and IOPS usage, leading to better query response times.
  • Cost benefits were observed with a 23% reduction in Aurora costs and increased price predictability.
  • Aurora Optimized Reads enabled Mindbody to meet performance SLAs efficiently and reduce operational costs.
  • By leveraging Optimized Reads, Mindbody improved query performance and cost efficiency in managing large datasets.
  • The team successfully transitioned to Aurora PostgreSQL Optimized Reads, enhancing their platform's reliability.
  • Users can access the Optimized Reads feature through the Amazon RDS console for better query performance.
  • Key contributors include Sandeep Koppula, Rahul Gupta from Mindbody, and Mukesh Agrawal from AWS.

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Cloudblog

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8 steps to ensuring a smooth Spanner go-live

  • Design, develop, test, and optimize your Spanner schema and transactions.
  • Choose suitable deployments, considering availability, performance, and geographical proximity.
  • Implement a backup and disaster recovery strategy to protect critical data.
  • Stay secure by utilizing Spanner's security features and carefully defining access controls.

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Alvinashcraft

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Dew Drop – February 21, 2025 (#4367)

  • The Dew Drop for February 21, 2025 contains a variety of articles covering topics like .NET MAUI, AI, Web Development, Visual Studio, Design, Database, and more.
  • From .NET MAUI Performance Features to building AI-Powered apps using WinUI Scheduler, the top links feature a range of informative articles.
  • In Web & Cloud Development, discussions include TypeScript in Node.js, transitioning from Create React App to Vite, and deploying WebJobs to Azure Container Apps.
  • AI-related articles talk about Doc-Powered AI Assistant, ethical concerns around Generative AI, and AI Agents for beginners.
  • Design, Methodology & Testing topics cover Developer Experience trends and leveraging GitHub Copilot Workspace Extensions.
  • The Mobile, IoT & Game Development section touches on Amazon's decision to shut down its Android Appstore and introduces the Raspberry Pi team.
  • Podcasts featured in the Dew Drop discuss aspects like Engineering Excellence, Azure Security, AI Models, and empathy in engineering management.
  • Community & Events section highlights software engineering job openings, developer community engagement on content moderation, and the Opengrep launch as a free fork.
  • Database-related topics include SQL Server Performance, TLS 1.2 for Azure Cosmos DB, and updates on Azure Database for MySQL.
  • In SharePoint, M365 & MS Teams, articles detail getting started with Copilot and ClipChamp's video creation capabilities.
  • Miscellaneous news covers insights on DOGE currency, sea level rise due to melting glaciers, and Microsoft's updates like major OCR upgrade for Snipping Tool in Windows 11.

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Dev

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Starting my Back-end Journey (2/?)

  • A database is an organized collection that helps manage a large volume of data.
  • Databases offer benefits like organization, easy access, and scalability, promoting data integrity and security.
  • The key components of a database are tables, rows, and columns.
  • The next topics will cover different types of databases, such as relational and non-relational.

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TronWeekly

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PYTH Network Bottom In? Why $0.35 Could Be Next!

  • Grayscale Pyth Trust offers institutions exposure to the governance token.
  • PYTH Network, a decentralized oracle network, received a boost with the Grayscale Pyth Trust launch.
  • Analysts predict a potential PYTH rally after reaching a price bottom between $0.15 and $0.17.
  • PYTH Network's cross-chain compatibility has contributed to its growing adoption in the broader Web3 landscape.

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Soais

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Streamlining Automation with UiPath healing Agent

  • The UiPath Healing Agent is an advanced feature that brings AI-powered solutions to UiPath Robots, Orchestrator, and Studio.
  • Its primary goal is to minimize downtime in automations by intelligently addressing issues caused by changes in application interfaces or UI disruptions.
  • The Healing Agent fixes issues that arise due to changes in the application interface and resolves problems caused by UI interference that obstructs the automation.
  • The UiPath Healing Agent simplifies automation maintenance by automatically adapting to UI changes and providing debug files with recommended fixes.

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Soais

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Creating Job Requisition in ORC

  • Job Requisition is a task by which we can hire an employee in the particular job domain.
  • During the job requisition creation process, we can view the progress of the job requisition in the Progress tab.
  • Oracle Recruiting Cloud offers various roles to manage the recruiting process efficiently, such as administrator, recruiter, and hiring manager.
  • A job requisition template provides a way to facilitate the creation of job requisitions by defaulting values in several fields.

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Soais

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Neoload for Performance Testing

  • Neoload is a powerful performance testing tool for modern applications.
  • Key advantages include user-friendly interface, realistic load simulations, continuous integration and DevOps support, reusable test scripts, scalability and cloud support, comprehensive reporting and analytics, integration with APM tools, and support for microservices and APIs.
  • Overall, Neoload is a preferred choice for enterprises looking to optimize application performance.

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Dbi-Services

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Troubleshooting Oracle Data Guard

  • Oracle Data Guard is a vital Disaster Recovery solution integrated in Oracle Database Enterprise Edition.
  • Key steps to troubleshoot a Data Guard configuration involve checking setup using the "broker" CLI, determining lag between databases, and resolving errors or configuration issues.
  • Issues like full Fast Recovery Area (FRA) on the standby database can be resolved by deleting older archivelogs to free up space.
  • Ensuring the standby_file_management parameter is set to AUTOMATIC on both primary and standby databases is crucial for sync.
  • Cross-testing connections, checking password files, and monitoring alert logs are essential troubleshooting tasks.
  • Dropping and recreating the Data Guard configuration with correct parameters can help resolve synchronization issues.
  • In cases of missing archivelogs, utilizing RMAN's RECOVER DATABASE FROM SERVICE command on the standby can expedite recovery.
  • Monitoring SCN (System Change Number) values on both primary and standby databases can help track synchronization.
  • Troubleshooting Data Guard becomes more manageable with these strategies and tips in place.

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Dbi-Services

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Why Data Pump Fails to Import Scheduler-Programs

  • Oracle Data Pump may fail to import Scheduler-Programs containing arguments, presenting a persistent issue without an official solution.
  • When faced with missing scripts and retired developers, reengineering the solution becomes the only choice.
  • Exporting and importing the schema initially led to confusion with numerous error messages.
  • Error messages indicated issues like missing tables or view privileges, making it challenging to pinpoint the problem.
  • The script for creating Scheduler-Programs and their arguments can be extracted using dbms_metadata.
  • Reconstructing missing arguments for Scheduler-Programs is possible through USER_SCHEDULER_PROGRAM_ARGS.
  • By using dbms_scheduler.define_program_argument, each argument can be defined for the Scheduler-Program.
  • Completing this process involves defining each argument individually based on the specified format.
  • Executing the script to define arguments and enabling the Scheduler-Program can address the import issues.
  • This guide offers a solution to importing Scheduler-Programs with arguments and welcomes alternative approaches from readers.

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TronWeekly

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EigenLayer, Polymarket, and UMA Unite to Forge Advanced Oracle for Prediction Markets

  • EigenLayer, Polymarket, and UMA have joined forces to develop an advanced oracle system for prediction markets.
  • The collaboration aims to improve the functionality and scalability of prediction markets and blockchain data.
  • The new oracle system will focus on community-driven consensus and leverage EigenLayer's restaking mechanism.
  • UMA's decentralized voting mechanism and Polymarket's existing oracle system will also be integrated in the development.

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Medium

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SQL Performance Tuning Scenario #10: Large Dataset Processing Strategies

  • When to use Native SQL Processing vs. Application-Side Processing.
  • How Do Yourself Parallelism (DYP) can accelerate large-scale data operations.
  • Practical implementations of parallel file loading and batch querying using Python (Pandas) and ThreadPoolExecutor.
  • Balancing SQL-native optimizations vs. external parallel execution techniques for large dataset processing.

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