| IT |
ITmedia 総合記事一覧 |
[ITmedia Mobile] povo2.0に1260円の期間限定トッピング「データ追加1GB（180日間）」登場 |
https://www.itmedia.co.jp/mobile/articles/2308/13/news051.html
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itmediamobilepovo |
2023-08-13 16:30:00 |
| TECH |
Techable（テッカブル） |
NTT西日本グループとマクニカが提携。地方自治体における自動運転サービスの社会実装を加速 |
https://techable.jp/archives/216371
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地方自治体 |
2023-08-13 07:00:59 |
| python |
Pythonタグが付けられた新着投稿 - Qiita |
外接円の半径「2023 福島大学前期 人間社会(数理自然科学類)【4】(1)」をsympyとFreeCADでやってみたい。 |
https://qiita.com/mrrclb48z/items/8fae87b765865246accf
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class |
2023-08-13 16:37:36 |
| python |
Pythonタグが付けられた新着投稿 - Qiita |
from ABC281 to ABC290 (A, B) |
https://qiita.com/nkfr26/items/b928dba0dc1aa110d1b7
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aabch |
2023-08-13 16:10:45 |
| AWS |
AWSタグが付けられた新着投稿 - Qiita |
TaskCatをCodeBuildで動かして、CFnを自動でテスト |
https://qiita.com/a_b_/items/6adf3a8adfcebcbccb9b
|
codebui |
2023-08-13 16:32:49 |
| Azure |
Azureタグが付けられた新着投稿 - Qiita |
まだOpenAI使ったことないの？この記事で全員ハンズオンさせてやんよ！ |
https://qiita.com/fe_js_engineer/items/4c11827906d38051ae51
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azure |
2023-08-13 16:31:20 |
| 技術ブログ |
Developers.IO |
【小ネタ】シェルスクリプトからLambdaを呼び出す際のJSONエスケープエラーとその解決策 |
https://dev.classmethod.jp/articles/shell-script-lambda-json-escape-error-solution/
|
escapeerror |
2023-08-13 07:36:58 |
| 海外TECH |
DEV Community |
Diagramming and Database Design📊🔍💡 |
https://dev.to/documatic/diagramming-and-database-design-42ff
|
Diagramming and Database DesignIn today s data driven world efficient management of information is critical for the success of various applications and systems Databases serve as the backbone of data storage and retrieval and designing them effectively is vital to ensure optimal performance and scalability In this article I will delve into the art of Visualizing Data Structures and Relationships where we explore the power of diagramming in database design to visualize data structures and relationships as well as Tools and software for database diagramming empowering software developers database administrators and data enthusiasts with unparalleled visualization prowess I hope this article helps you say goodbye to complexity and hello to crystal clear data models entity relationships and data flows within databases PrerequisitesTo make the most of the invaluable insights provided in this article I recommend a foundational understanding of the following concepts Basic Database Concepts Familiarity with fundamental database concepts such as tables fields records and relationships will be beneficial SQL Structured Query Language Having a basic knowledge of SQL will help you understand the data manipulation and retrieval processes within databases Data Modeling Fundamentals A grasp of data modeling principles will enhance your ability to conceptualize data structures and relationships Diagramming Tools Familiarity with diagramming tools or software such as ER diagram tools and UML modeling tools will facilitate practical application However if you re a passionate learner with a determination to delve into the world of data visualization and database design these prerequisites are not mandatory This article will give you a solid foundation for your journey to become a proficient data visualizer Overview of Diagramming in Database DesignDiagrams are the visual blueprints that bring clarity and understanding to the intricate world of database design In this section we explore the significance of visual representation the various types of diagrams commonly employed and the art of selecting the perfect diagram for a given task Importance of Visual Representation In the realm of complex data structures and relationships visual representation plays a pivotal role in simplifying the design process Diagrams offer an intuitive and comprehensive view of the database making it easier for stakeholders to grasp the system s architecture and functionality They act as powerful communication tools fostering collaboration between developers designers and stakeholders leading to more informed decision making and streamlined development Types of Diagrams Used Entity Relationship ER Diagrams The backbone of database design ER diagrams showcase the entities attributes and relationships within a database They help us understand how data entities interact with each other defining cardinality and providing a blueprint for data modeling Data Flow Diagrams DFD DFDs illustrate the flow of data within a system They visualize how data moves from input to processing and finally to output DFDs are particularly useful for understanding data transformations and identifying potential bottlenecks in the data flow Unified Modeling Language UML Diagrams Widely used in software engineering UML diagrams can be adapted for database design Class diagrams represent the static structure of data and its relationships while object diagrams show specific instances of data objects Associations and multiplicity depict how data elements interact in a database Choosing the Right Diagram for the Task Selecting the appropriate diagram type for a specific task is crucial to accurately represent the underlying database structure Consider the complexity of the data the level of detail required and the purpose of the visualization For database architecture and data modeling ER diagrams shine while DFDs are preferred for showcasing data flow and system behaviour UML diagrams on the other hand excel in representing the relationship between data elements in object oriented systems By mastering the art of choosing the right diagram you can unleash the true potential of data visualization in database design transforming abstract concepts into lucid blueprints for success In the next section we dive deeper into the world of Entity Relationship ER Diagrams Entity Relationship ER DiagramsEntity Relationship ER diagrams are the bedrock of database design providing a visual representation of the data model s fundamental building blocks Let us delve into the core elements of ER diagrams uncovering the secrets behind entities attributes relationships and the cardinality that binds them Understanding Entities and Attributes Entities are the fundamental objects or concepts represented within the database Each entity corresponds to a table in the database and it encompasses all instances or occurrences of the entity s concept Attributes on the other hand define the characteristics or properties of the entities They represent the data elements that describe an entity s attributes providing valuable information about the entities features Defining Relationships and Cardinality The essence of an ER diagram lies in its portrayal of relationships between entities Relationships define how entities interact or associate with one another Cardinality further refines these relationships indicating the number of occurrences of one entity that are associated with the occurrences of another entity Cardinality can be one to one one to many N many to one N or many to many N N depending on the specific scenario Conventions and Symbols Used ER diagrams employ standardized conventions and symbols to create uniform representations Entities are typically depicted as rectangles with their respective attributes listed within them Relationships are shown as diamond shaped connectors between entities with cardinality indicators specified near the connectors Various lines and crow s foot notations signify the cardinality type helping to precisely define the relationship between entities For a clear and consistent understanding of ER diagrams mastering these conventions and symbols is crucial ensuring smooth communication and collaboration among all stakeholders involved in the database design process Data Flow Diagrams DFD Data Flow Diagrams DFDs are powerful tools for understanding how data moves within a system and between various components I will explore with you how they map data flows and processes the different levels of DFDs and guidelines for creating these insightful visual representations Mapping Data Flows and Processes DFDs illustrate the path of data as it travels through a system from its point of origin to its final destination These diagrams focus on the data movement between processes data stores and external entities By mapping data flows and processes DFDs highlight the interactions and transformations data undergoes during its journey through the system Different Levels of DFDs DFDs come in multiple levels each offering a specific level of detail and abstraction The highest level DFD Level provides a bird s eye view of the entire system depicting major processes and their interconnections As we move to lower level DFDs such as Level and beyond more intricate details emerge breaking down processes into subprocesses and revealing finer data flows within the system Guidelines for Creating DFDs To create effective and insightful DFDs consider the following guidelines Identify Boundaries Define the scope of the system by identifying its boundaries and external entities that interact with it Start with Level Begin by creating a Level DFD to establish a high level overview of the system and its major processes Decompose Processes Break down complex processes into smaller subprocesses for greater clarity and granularity Balancing Data Flows Ensure that data flows are balanced meaning the input and output data of a process remain consistent No Process Explosion Avoid excessive decomposition of processes to prevent process explosion and maintain readability Use Descriptive Labels Employ clear and descriptive labels for data flows and processes to enhance understanding Validation and Feedback Validate your DFDs with stakeholders and subject matter experts to ensure accuracy and incorporate feedback for improvement By adhering to these guidelines you can craft DFDs that unravel the intricacies of data movement in your system facilitating effective communication and decision making UML Diagrams for Database DesignUnified Modeling Language UML diagrams provide a standardized and versatile notation for visualizing data structures and relationships in database design In this section let s journey into the world of UML diagrams exploring how Class Diagrams facilitate data modeling how Object Diagrams depict instances and the significance of Associations and Multiplicity in database visualization Using Class Diagrams for Data Modeling Class Diagrams serve as a powerful tool for data modeling in database design They present a static view of the data structure showcasing classes representing entities or tables and their attributes By defining associations between classes Class Diagrams unveil the relationships between data elements providing a blueprint for creating well organized databases Object Diagrams for Instances Object Diagrams a subset of Class Diagrams zoom in on specific instances of classes offering a snapshot of the data at a particular point in time They illustrate the objects representing data instances and the relationships between them giving a concrete view of data in action Associations and Multiplicity Associations in UML diagrams depict the connections between classes revealing how they are related Multiplicity represented by numeric values defines the number of objects associated with a particular class It enables us to understand the cardinality of the relationships guiding us in designing database tables and establishing proper foreign key constraints By leveraging UML diagrams you gain a robust and standardized approach to represent data models and relationships enhancing collaboration among developers and stakeholders and paving the way for effective database design Database NormalizationBefore we look at some wonderful tools and popular software which are used for Diagramming and database design Let s take a look into one important concept of database which plays an indelible role in your database design and even implementation Normalization is a fundamental concept in database design playing a pivotal role in creating efficient and robust database structures In this section we highlight the paramount importance of normalization in diagramming and database design We delve into the various Normal Forms outlining the step by step normalization process and elucidating the compelling benefits it brings to database management Importance of Normalization in Diagramming and Database Design Normalization is vital in database diagramming as it helps organize data systematically reduces redundancy and minimizes data inconsistencies By breaking down data into smaller manageable units normalization fosters a clear representation of the data structure in diagrams paving the way for better understanding and maintainability Explanation of Normal Forms Normalization follows a set of rules known as Normal Forms each designed to address specific data anomalies and improve data integrity The prominent Normal Forms include First Normal Form NF Second Normal Form NF Third Normal Form NF and beyond Each Normal Form builds upon the previous one ensuring data is free from redundancy and adheres to atomicity and integrity Step by Step Normalization Process The normalization process involves identifying functional dependencies within the data and organizing it into appropriate tables The step by step approach involves breaking down complex data into simpler components eliminating data repetition and establishing proper relationships between tables This iterative process leads to a well structured normalized database design Benefits of Normalization Normalization bestows several compelling advantages upon the database design Data Integrity Normalization ensures data consistency and integrity reducing the risk of anomalies and data corruption Flexibility A normalized database allows for easier data modification and updates without affecting other parts of the database Reduced Redundancy By eliminating data redundancy normalization optimizes data storage minimizing storage requirements Improved Performance Well normalized databases tend to perform better in data retrieval and querying operations leading to enhanced system performance Easier Maintenance With a clear and organized structure maintaining the database becomes more straightforward reducing the likelihood of errors and issues By grasping the significance of normalization and adhering to the Normal Forms you can elevate your database design leading to more efficient scalable and maintainable systems Normalized vs no normalized diagramNormalized Diagram A normalized diagram represents a database that adheres to the principles of normalization Entities are organized into separate tables and relationships between entities are carefully defined using primary keys and foreign keys Each table is designed to store specific types of data reducing data redundancy and improving data integrity Normalized diagrams provide a clear and concise view of the database making it easier to understand and maintain Non Normalized Diagram A non normalized diagram also known as a denormalized diagram depicts a database structure that does not adhere to the principles of normalization In denormalized databases data may be duplicated across multiple tables leading to data inconsistencies and wastage of storage space Relationships between entities may not be adequately defined making it challenging to understand the data model s intricacies In the next section we explore Tools and Software for Database Diagramming Let s continue our exploration of database Diagramming Tools and Software for Database DiagrammingUnlock the Potential of Database Visualization with Cutting Edge Tools In this section we embark on an exploration of the leading tools and software that empower you to create stunning database diagrams with ease and precision From popular diagramming tools to specialized Integrated Development Environments IDEs with robust database features you ll discover a wealth of resources to enhance your database design journey Let s delve into the world of database diagramming software compare their strengths and find the perfect fit for your unique needs Popular Diagramming Tools Unleash your creativity with a diverse range of popular diagramming tools that support various diagram types including ER diagrams and UML diagrams Tools like Lucidchart An intuitive cloud based diagramming tool with an extensive library of shapes and templates Collaborate in real time with team members and seamlessly integrate with other productivity apps draw io A free and feature rich diagramming tool with an open source option Create professional quality diagrams with ease and save your work to your preferred cloud storage Creately A versatile online diagramming and design tool that supports various diagram types Access thousands of templates and collaborate with team members effortlessly offer intuitive interfaces drag and drop functionality and an array of symbols to craft expressive and polished diagrams Empower your team with collaborative features real time editing and seamless integration with other productivity tools Integrated Development Environment IDE Features Supercharge your database design process by leveraging the power of Integrated Development Environments IDEs with built in database support IDEs like Visual Studio Code A lightweight yet powerful IDE with an extensive library of extensions Leverage database extensions to manage and visualize databases directly from the editor IntelliJ IDEA A feature rich Java IDE with support for database development Use dedicated database tools and plugins for seamless data visualization and manipulation Eclipse A widely used IDE with an ecosystem of plugins for various languages and frameworks Install database related plugins to enhance your database design capabilities provide dedicated plugins and extensions for database management allowing you to create visualize and modify databases seamlessly from within the development environment Experience the convenience of integrated version control SQL query execution and schema comparison tools Comparing Diagramming Software Navigate the myriad options by comparing diagramming software based on key features usability collaboration capabilities and pricing models Consider factors like Cloud based vs desktop applicationsOffline access and sync capabilitiesUser interface and ease of useCollaboration and team featuresAvailability of industry specific templates and stencilsLicensing models and pricing optionsBy carefully evaluating these aspects you can find the ideal software that aligns perfectly with your database diagramming aspirations Empowered with cutting edge tools you re ready to unleash your creativity and transform complex data into captivating diagrams Best Practices for Effective Database DiagramsCrafting Clear and Cohesive Visualizations Let us look into the best practices that will elevate your database diagrams to new heights Follow these guidelines to ensure your diagrams remain consistent up to date and effectively communicate complex database structures and relationships to your team and stakeholders Keeping Diagrams Consistent and Up to date Version Control Use version control systems to track changes and revisions in your diagrams This ensures you have a historical record of modifications and allows you to revert to previous versions if needed Naming Conventions Adopt a consistent naming convention for entities attributes and relationships in your diagrams This promotes clarity and helps everyone understand the structure at a glance Regular Review Set a schedule for reviewing and updating your diagrams to reflect any changes in the database schema Keeping diagrams current avoids confusion and discrepancies Collaborating on Diagrams in a Team Centralized Repository Store your diagrams in a centralized location that is accessible to all team members Cloud based storage or version control repositories are ideal for collaborative efforts Real time Collaboration Leverage tools that support real time collaboration enabling team members to work simultaneously on diagrams and providing instant feedback Communicate Changes When updating diagrams communicate the changes to the team and seek feedback Transparent communication fosters better collaboration and a shared understanding of the database design Documenting Diagrams for Clarity Add Descriptions Include brief descriptions or comments within the diagrams to explain complex relationships or special considerations Contextual Information Provide context for the diagrams by explaining the purpose and scope of the database This ensures everyone understands the broader context of the system Use External Documentation For extensive databases supplement your diagrams with external documentation such as data dictionaries or entity relationship descriptions for comprehensive reference By adhering to these best practices you empower your team with clear accurate and up to date database diagrams Effective diagrams enhance communication streamline development and serve as invaluable resources for everyone involved in the database design process ConclusionIn this article we explored the art of database diagramming delving into essential concepts like ER diagrams DFDs and UML diagrams Visualizing data structures is vital for effective database design enabling clear communication and shared understanding among teams and stakeholders By embracing best practices such as consistency regular updates and collaborative efforts we create cohesive and up to date diagrams These visualizations serve as powerful blueprints for building efficient and scalable databases As you venture forward remember that data visualization in database design is an evolving skill With dedication to best practices and the right tools you can unleash the transformative power of data and drive innovation in the data driven world Happy Hacking Bentil hereI hope this article empowers you to unravel the magic of data visualization and may your database design endeavours bring forth innovative solutions and transformative experiences Together let s harness the power of data to shape a future where information thrives and possibilities abound |
2023-08-13 07:34:59 |
| 海外TECH |
DEV Community |
Power of Parallel Query Execution in PostgreSQL |
https://dev.to/sarmadmm/power-of-parallel-query-execution-in-postgresql-57pn
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Power of Parallel Query Execution in PostgreSQLThe power of parallel query execution allows PostgreSQL to make substantial advancements in query optimisation This article will serve as your manual for comprehending and using this functionality revolutionising the way you approach performance improvement Let s explore parallelism in detail including its practical uses optimisation techniques and even a working code example Understanding Parallel Query ExecutionPostgreSQL s solution to making use of multi core machines for blazingly fast data processing is at its heart parallel query execution The database divides queries into smaller tasks each of which is executed concurrently by a different thread as we peel back the layers As a result resources are used effectively and speed increases are notable Real World Benefits of ParallelismWhen processing large amounts of data is required parallelism finds its true purpose We examine instances in real life where this feature improves performance We use a sales database as an example and apply parallelism to determine the overall sales amount for each product category The contrast in execution times highlights its potency Challenges of ParallelismParallelism is no different from other concepts in that it carries responsibility We face difficulties with load balancing competition for resources and potential overhead Our techniques address these problems head on providing smooth parallel processing You may effectively optimise parallelism using methods like query optimisation and partition pruning Formulating parallel ready queries for optimisationCreating queries that align perfectly is a crucial part of taking use of parallelism Our journey looks into query design illuminating the best index options filtering criteria and join algorithms Here we provide a real world code sample that illustrates how to use parallelism to calculate total sales demonstrating its use in real world applications to enable parallel query executionSET max parallel workers per gather to calculate total sales amount for each product category using parallelismSELECT category SUM amount AS total salesFROM salesGROUP BY category Configuring and Monitoring ParallelismTuning is necessary for ideal parallelism We explore PostgreSQL s configuration options like max parallel workers per gather and offer advice on finding the ideal mix You can avoid potential bottlenecks by staying on top of query health with the use of monitoring techniques Power of PostgreSQL and parallelismWe are coming to the end of our investigation into parallel query processing and fresh opportunities beckon We ve explored the theoretical terrain and seen parallelism s practical effects in action Observe the reporting query s improved performance and observe the wonder of parallelism at work as data transformation takes place These revelations highlight parallelism s revolutionary potential Finally this guide gives you a thorough knowledge of this revolutionary feature You are prepared to take advantage of multi core processing s full potential now that you have access to useful methodologies real world examples and useful insights This journey equips you to embrace innovation and raise your PostgreSQL performance to new heights whether you re optimising setups fine tuning queries or exploring uncharted waters |
2023-08-13 07:13:06 |
| 海外TECH |
DEV Community |
AWS Elastic Beanstalk |
https://dev.to/hasanelsherbiny/aws-elastic-beanstalk-4cdb
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AWS Elastic Beanstalk What is AWS Elastic Beanstalk AWS Elastic Beanstalk is a cloud service that abstracts the complexity of infrastructure management and provides an easy to use platform for deploying scaling and managing web applications and services Elastic Beanstalk supports multiple programming languages platforms and web frameworks enablng developers to deploy applications with just a few clicks or a single command Key Features of AWS Elastic BeanstalkMultiple Platform Support Elastic Beanstalk supports various platforms including Java NET PHP Python Ruby Node js Go and Docker containers This flexibility allows developers to use their preferred programming languages and framworks Easy Application Deployment With Elastic Beanstalk deploying applications is simple and fast Developers upload their application code and Elastic Beanstalk automatically handles the provisioning of the underlying infrastructure and sets up the environmentAuto Scaling and Load Balancing Elastic Beanstalk automatically scales the application based on the incoming traffic It provisions resources and configures load balancing to ensure optimal performance and high availabilty Managed Environment Updates Elastic Beanstalk handles environment updates includng operating system patches and updates to underlying platform versions reducing the burden of manual maintenance Monitoring and Health Checks Elastic Beanstalk provides built in monitoring and health checks for the application Developers can view metrics logs and performance data directly from the AWS Management Console Integration with Other AWS Services Elastic Beanstalk seamlessly integrates with other AWS services such as Amazon RDS for databases Amazon S for storing application data and Amazon CloudWatch for monitoring Benefits of AWS Elastic BeanstalkSimplified Deployment Elastic Beanstalk automates the setup and configuration of the infrastructur allowing developers to focus on writing code and delivering applicationsScalability Elastic Beanstalk automatically scales the application based on demand ensuring that resources are allocatd efficiently to handle varying workloadsHigh Availabilty Elastic Beanstalk provisions resources across multiple Availability Zones providing high availability and fault tolerance for the application Reduced Operational Overhead Elastic Beanstalk manags environment updates and handles routine maintenance tasks reducing the operational burden on developers Use Cases for AWS Elastic BeanstalkAWS Elastic Beanstalk is suitable for various use cases Web Applications Elastic Beanstalk is ideal for deploying web applications and services that require ease of management and scalablity Microservices Developers can use Elastic Beanstalk to deploy and manage microservices based architectures efficiently Continuous Deployment Elastic Beanstalk integrats with AWS CodePipeline and other CI CD tools allowing developers to achieve continuous deployment with minimal effort Getting Started with AWS Elastic BeanstalkTo begin using AWS Elastic Beanstalk developers need an AWS account and access to the AWS Management Console or AWS CLI From there they can create a new environment upload their application code and deploy it to Elastic Beanstalk ConclusionAWS Elastic Beanstalk has revolutionized the deployment and management of web applications providing developers with a powerful platform to deploy applications with ease Its fully managed nature auto scaling capabilities and seamless integration with other AWS services make it an attractive choice for businesses looking to accelerate their application developmnt process With Elastic Beanstalk developers can unleash the full potential of the cloud driving innovation and delivering reliable and scalable web applications to their customers As the landscape of cloud computig evolves AWS Elastic Beanstalk remains a pivotal service empowring developers to focus on their core expertise and build cutting edge applications in the dynamic and competitive world of web development |
2023-08-13 07:04:15 |
| ニュース |
BBC News - Home |
Ministers face renewed pressure over boat crossings |
https://www.bbc.co.uk/news/uk-66490218?at_medium=RSS&at_campaign=KARANGA
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boats |
2023-08-13 07:56:20 |
| ニュース |
BBC News - Home |
World Athletics Championships 2023: Katarina Johnson-Thompson reawakened and on medal hunt |
https://www.bbc.co.uk/sport/athletics/66360625?at_medium=RSS&at_campaign=KARANGA
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World Athletics Championships Katarina Johnson Thompson reawakened and on medal huntBritish heptathlete Katarina Johnson Thompson on targeting success in Budapest after a difficult four years since becoming world champion |
2023-08-13 07:33:29 |
| ニュース |
BBC News - Home |
Match of the Day pundits amused after Roy Hodgson clashes with Max Lowe |
https://www.bbc.co.uk/sport/av/football/66489882?at_medium=RSS&at_campaign=KARANGA
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Match of the Day pundits amused after Roy Hodgson clashes with Max LoweMatch of the Day s Gary Lineker Alan Shearer and Micah Richards see the funny side as Crystal Palace manager Roy Hodgson clashes with Sheffield United s Max Lowe |
2023-08-13 07:26:13 |
| IT |
週刊アスキー |
ほっかほっか亭「ビフテキW重」や「ビフテキスペシャル」を数量限定で発売中！ |
https://weekly.ascii.jp/elem/000/004/149/4149715/
|
持ち帰り |
2023-08-13 16:15:00 |
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