投稿時間:2023-07-22 04:24:45 RSSフィード2023-07-22 04:00 分まとめ(27件)

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IT	InfoQ	Presentation: What the Data Says: Emerging Technical Trends in Front-End and How They Affect You	https://www.infoq.com/presentations/adoption-technological-trends/?utm_campaign=infoq_content&utm_source=infoq&utm_medium=feed&utm_term=global	Presentation What the Data Says Emerging Technical Trends in Front End and How They Affect YouLaurie Voss discusses the adoption of technical trends in web development and uses data from over responses to surveys of web developers to identify the key trends in front end development By Laurie Voss	2023-07-21 18:09:00
AWS	AWS Machine Learning Blog	Analyze rodent infestation using Amazon SageMaker geospatial capabilities	https://aws.amazon.com/blogs/machine-learning/analyze-rodent-infestation-using-amazon-sagemaker-geospatial-capabilities/	Analyze rodent infestation using Amazon SageMaker geospatial capabilitiesRodents such as rats and mice are associated with a number of health risks and are known to spread more than diseases Identifying regions of high rodent activity can help local authorities and pest control organizations plan for interventions effectively and exterminate the rodents In this post we show how to monitor and visualize …	2023-07-21 18:29:22
AWS	AWS Management Tools Blog	Maximize Cloud Benefits by Modernizing with AWS ModAx	https://aws.amazon.com/blogs/mt/maximize-cloud-benefits-by-modernizing-with-aws-modax/	Maximize Cloud Benefits by Modernizing with AWS ModAx“Lifting and shifting your on premises workloads to the cloud is a great option to move to the cloud quickly Organizations that take this approach are in a good position to take advantage of the benefits of modernization in the cloud While the initial move to the cloud may provide cost savings and improved scalability modernizing …	2023-07-21 18:11:56
海外TECH	Ars Technica	This LiDAR-equipped, 30-pound robot dog can be yours for $1,600	https://arstechnica.com/?p=1955810	boston	2023-07-21 18:42:42
海外TECH	Ars Technica	IMAX emulates PalmPilot software to power Oppenheimer’s 70 mm release	https://arstechnica.com/?p=1955799	oppenheimer	2023-07-21 18:23:25
海外TECH	MakeUseOf	How to Fix Error 0x80300024 in Windows	https://www.makeuseof.com/error-0x80300024-windows-fixes/	message	2023-07-21 18:15:23
海外TECH	DEV Community	Google BigQuery: Serverless data warehousing made simple	https://dev.to/mage_ai/google-bigquery-serverless-data-warehousing-made-simple-3em9	Google BigQuery Serverless data warehousing made simpleGuest blog by Shashank Mishra Data Engineer Expedia TLDRGoogle BigQuery is a serverless scalable data warehouse on Google Cloud It supports real time analytics machine learning and GIS capabilities With its unique architecture separating storage and computing it offers automatic scalability and strong security ideal for data driven businesses OutlineIntroduction to Google BigQueryKey features of Google BigQueryBigQuery s Unique ArchitectureBenefits of Using BigQueryConclusion Introduction to Google BigQueryGoogle BigQuery is a highly scalable serverless data warehouse offered by Google as part of its Google Cloud Platform GCP It is designed to streamline and simplify the processing of big data Serverless Architecture BigQuery operates on a serverless model which means users don t need to manage any infrastructure or do any server management This helps in focusing more on data analysis rather than worrying about capacity planning or server management It allows you to query massive datasets in seconds and get insights in real time without needing to worry about resource provision Real Time Analytics BigQuery is engineered for real time analytics It allows users to analyze real time data streams instantly With its ability to run SQL queries on gigabytes to petabytes of data it delivers speedy results on real time data analytics enabling businesses to make timely decisions In summary Google BigQuery with its serverless architecture and real time analytics serves as a robust platform to handle analyze and draw insights from massive datasets with ease Source Giphy Key features of Google BigQueryGoogle BigQuery offers a robust set of features that make it an ideal choice for businesses looking to leverage data for actionable insights These features extend from machine learning capabilities and geospatial analytics to multi cloud data analysis and automated data transfer services These cutting edge functionalities position BigQuery as a powerful tool in the data analytics landscape Let s dive into some of these key features Machine Learning Integration Google BigQuery provides built in machine learning capabilities enabling data scientists to create and execute machine learning models on structured and semi structured data directly inside BigQuery using SQL This ML integration allows users to build models with the ease of SQL commands eliminating the need to move data across different environments or learn a new language GIS Capabilities BigQuery GIS or Geo Viz allows analysts to manage and analyze geospatial data in BigQuery by providing SQL geographic functions These functions make it easier to understand spatial relationships and provide insights about geographic based data that are critical for businesses like determining delivery routes analyzing service coverage areas and much more BI Engine BigQuery BI Engine is a fast in memory analysis service that allows users to analyze data stored in BigQuery with sub second query response time and high concurrency Integrated with popular tools like Google Data Studio it enables analysts and data scientists to create interactive dashboards and reports without any performance latency BigQuery Omni BigQuery Omni is a multi cloud data analytics solution that allows users to execute BigQuery s powerful analytics capabilities on data stored not just in Google Cloud but also AWS and Azure This means you can break down data silos and gain insights across different cloud platforms without having to move or copy data enabling a truly multi cloud data analytics approach BigQuery Data Transfer Service The BigQuery Data Transfer Service automates data movement from SaaS applications to Google BigQuery on a scheduled managed basis This allows businesses to maintain an updated data warehouse without the hassle of writing custom scripts or manually importing data simplifying data ingestion and ensuring that data is readily available for analysis In essence Google BigQuery provides a comprehensive suite of tools and capabilities that not only simplify data warehousing tasks but also empower businesses to draw actionable insights from their data Source Giphy Google BigQuery s unique architectureAt its core Google BigQuery s architecture is a manifestation of Google s Dremel technology Dremel is a highly scalable interactive ad hoc query system for the analysis of read only nested data and BigQuery utilizes this technology to execute SQL like queries over multi terabyte datasets in seconds Dremel Inspired Architecture BigQuery s Dremel inspired architecture allows it to deliver incredibly fast analytics on a petabyte scale By creating a tree architecture for dispatching queries and aggregating results Dremel enables BigQuery to scan trillions of rows in seconds and return results in a blink This architecture uses a combination of columnar storage for data organization and tree architecture for query execution allowing BigQuery to run SQL queries on large datasets swiftly Separation of Compute and Storage A fundamental design principle of BigQuery is the decoupling of compute and storage The data you store in BigQuery is kept in a multi tenant distributed architecture separated from the computational resources This separation allows for nearly infinite scalability as your data grows BigQuery scales to meet your storage needs without any intervention and you can ramp up query computing power as needed without being limited by your data size Compute Resources When you run a query BigQuery dynamically allocates computing resources as needed This serverless model means that you don t have to worry about pre provisioning compute capacity and you only pay for the queries you run Storage Layer On the storage side BigQuery automatically replicates data for durability and high availability It also handles all ongoing maintenance including patches and upgrades Data in BigQuery is stored in Capacitor Google s next generation columnar storage format which is highly compressed and optimized for reading large amounts of structured data Google BigQuery s unique architecture inspired by Dremel and its separation of compute and storage lead to high speed query performance automatic scalability and strong data security thereby making it an efficient data warehouse solution for businesses of all sizes Source Giphy Benefits of using Google BigQueryGoogle BigQuery provides a number of benefits that make it a compelling choice for businesses of all sizes from startups to large enterprises who are looking to derive insights from their data These benefits stem from BigQuery s serverless architecture automatic scalability strong security features and other business benefits Serverless Data Warehousing As a serverless solution BigQuery eliminates the need for businesses to manage administer or tune any infrastructure saving them time and resources This allows businesses to focus on what truly matters ーderiving insights from their data and using them to make informed business decisions Automatic Scalability BigQuery scales automatically to accommodate your data and workloads Its architecture separates storage and computation enabling each to scale independently This ensures that the system can handle any volume of data and any number of queries while maintaining high performance Strong Security Features BigQuery is designed with a robust security model that integrates with other Google Cloud security tools It offers data encryption at rest and in transit identity and access management and a host of other security features that help businesses protect their sensitive data Business Benefits Beyond the technical features BigQuery offers tangible business benefits It provides real time insights that enable businesses to make timely decisions improving operational efficiency and enabling new opportunities It also reduces costs as businesses only pay for the storage they use and the queries they run making BigQuery a cost effective solution for data warehousing Source Giphy In conclusion Google BigQuery stands out as a robust serverless data warehouse in the Google Cloud Platform Its unique Dremel inspired architecture supports immense scalability and swift real time analytics With features like machine learning integration GIS capabilities and multi cloud data analytics it equips businesses to derive critical insights from massive datasets efficiently and securely BigQuery simplifies data management providing a potent solution for data driven decision making in the ever evolving digital landscape In episode of Datawarehouse series we ll explore how we can integrate Data Warehousing services like Snowflake Redshift Google BigQuery with Mage Link to the original blog	2023-07-21 18:44:08
海外TECH	DEV Community	Snowflake: Revolutionizing data warehousing	https://dev.to/mage_ai/snowflake-revolutionizing-data-warehousing-1dkm	Snowflake Revolutionizing data warehousingGuest blog by Shashank Mishra Data Engineer Expedia TLDRSnowflake is a cloud based data warehousing platform that brings a new level of performance simplicity and affordability to businesses that require big data processing and analytics OutlineIntroduction to snowflakeKey features of snowflakeSnowflake s unique architectureBenefits of using snowflakeConclusion Introduction to snowflakeSnowflake is a powerful cloud based data warehousing platform known for its unique flexible architecture By separating compute and storage resources it offers scalable efficient and cost effective data management Snowflake eliminates the complexity of traditional data warehouses offering a user friendly fully managed solution It supports various data formats and integrates well with diverse data processing tools and BI software With robust security measures including encryption and role based access control Snowflake ensures data safety Essentially it empowers organizations to be data driven delivering a powerful and simple to use data warehouse solution in the cloud Source Giphy Key features of snowflakeSnowflake is a powerful data warehousing platform that incorporates a broad set of capabilities designed to make data storage retrieval and analysis more efficient flexible and scalable Let s dive into some of the prime features that make Snowflake a standout choice in the realm of cloud data platforms Elastic Scalability Snowflake enables you to scale up or down instantaneously It can handle any volume of data the number of users or the complexity of queries without compromising performance Zero Management Snowflake is a fully managed service that requires no management from your end such as indexing or tuning and it handles all infrastructure optimization availability data protection and more Multi Cloud Platform Snowflake can run on multiple clouds including AWS Google Cloud and Azure This cross cloud capability allows businesses to leverage the advantages of different cloud providers Data Sharing Snowflake allows you to share live ready to query data across your organization with partners or even with your customers securely and in real time Performance and Speed Snowflake s unique architecture offers excellent query performance and allows for quick data retrieval empowering businesses with real time insights Data Security Snowflake offers robust security features including automatic data encryption network policies and role based access control to protect your data Support for Structured and Semi Structured Data Snowflake natively supports JSON Avro XML ORC and Parquet allowing you to work with various data formats in a flexible and straightforward manner Time Travel Snowflake s Time Travel feature enables access to historical data at any point in the past providing easy data recovery and audit capabilities Automatic Concurrency Scaling During high demand Snowflake automatically spins up additional computing resources to ensure consistent high speed performance for all users and queries In Database Machine Learning Snowflake supports in database machine learning allowing you to train models directly where your data resides reducing data movement and improving security and efficiency Source Giphy Snowflake s unique architectureSnowflake s architecture is a hybrid of traditional shared disk and shared nothing architectures with an additional layer of cloud services This three tier architecture consists of Storage Layer The base layer of Snowflake s architecture is the database storage layer It manages all aspects of data storage in Snowflake Cloud Agnostic Storage Snowflake can store an unlimited amount of structured and semi structured data across multiple cloud platforms It can run on AWS Google Cloud or Azure Automatic Organization Data is automatically divided into micro partitions when loaded into Snowflake These micro partitions are columnar and compressed for optimal storage and query performance Immutable Data Once written data in Snowflake is immutable which provides the ability to access data at any point in time a feature known as Time Travel Compute Layer The second layer is the compute layer known as virtual warehouses This layer is responsible for executing queries on the data Elasticity and Separation of Compute and Storage Virtual warehouses are independent compute resources that do not share CPU memory or storage enabling them to scale up or down instantaneously based on workload ensuring optimal performance without any contention Multi cluster Warehouses For large concurrent workloads Snowflake can automatically scale out queries across multiple compute clusters to maintain performance Cloud Services Layer The top layer is the cloud services layer It coordinates and manages all aspects of Snowflake s functionality Security and Access Control This layer handles tasks such as user authentication session management access control and encryption Metadata Management Snowflake automatically maintains detailed metadata about all objects in the system including data files table structures and data statistics Query Optimization and Execution The cloud services layer optimizes and executes all SQL queries It compiles SQL statements into low level code that s executed on virtual warehouses Transactions and ACID Compliance Snowflake supports fully ACID compliant transactions ensuring data consistency and reliability In essence Snowflake s unique architecture enables a highly efficient flexible and scalable data processing environment making it a powerful choice for organizations seeking to leverage data for business insights Source Giphy Benefits of using snowflakeSnowflake offers numerous advantages that make it a highly effective solution for data warehousing These benefits spanning from operational efficiency to strategic decision making are designed to cater to both technical needs and business objectives providing an edge in today s data driven landscape Seamless Data Integration Snowflake integrates effortlessly with existing data management tools ETL ELT solutions and business intelligence platforms This allows organizations to continue using their preferred tools while leveraging Snowflake s powerful data warehousing capabilities Multi Cloud and Cross Cloud Capabilities Snowflake isn t tied to a single cloud provider You can use it on AWS Google Cloud or Azure giving you the flexibility to choose your preferred cloud vendor leverage multi cloud strategies or even migrate between them Disaster Recovery The platform s ability to replicate data across cloud regions helps in achieving a robust disaster recovery strategy mitigating the risk of data loss and ensuring business continuity Democratizing Data Snowflake empowers organizations to democratize their data by making it accessible for stakeholders across the organization The increased availability of data for business users can drive data driven decisions at all levels of the organization Collaboration and Data Exchanges Snowflake data exchange allows organizations to share live data with their business partners creating collaborative opportunities and enabling more informed decision making across the business ecosystem Reduced Total Cost of Ownership TCO With its fully managed services Snowflake reduces the need for extensive in house data management and infrastructure bringing down the total cost of ownership The resources saved can be utilized for business critical operations and innovation Resource Optimization Snowflake s separate compute and storage resources allow organizations to optimize resource usage based on their specific needs This not only enhances performance but also results in cost savings by ensuring resources are not wasted Business Agility With its robust features scalability and ease of use Snowflake empowers businesses to be more agile Organizations can rapidly adapt to changes whether it s increased demand new data sources or evolving business needs Source Giphy ConclusionSnowflake is a comprehensive data warehousing solution designed for the cloud era Its unique architecture and suite of features empower organizations to handle vast amounts of data with ease speed and flexibility From effortless integration with existing tools to unparalleled scalability and from secure real time data sharing to cost effective operations Snowflake offers a transformative approach to data management It ensures that businesses of all sizes and industries can leverage data effectively to derive valuable insights make informed decisions and ultimately drive growth and innovation in an increasingly data centric world Whether you re a small business looking to harness the power of data or a large enterprise aiming to optimize your data operations Snowflake stands as a compelling choice in the realm of cloud data warehousing In episode of data warehouse series we ll explore Google BigQuery Link to the original blog	2023-07-21 18:34:25
海外TECH	DEV Community	How to Scrape Data From Zillow?	https://dev.to/dustykaisler/how-to-scrape-data-from-zillow-5cgo	How to Scrape Data From Zillow Zillow com is a popular online real estate marketplace that provides information about real estate properties in the United States Zillow was founded in and it is one of the leading real estate websites offering a wide range of services related to buying selling renting and financing properties Zillow allows users to search for homes and apartments available for sale or rent across various locations The platform provides detailed property listings with information such as property photos descriptions pricing and amenities Users can also find data on historical property values local market trends and neighborhood information One of the notable features of Zillow is its Zestimate an automated valuation model that provides an estimated property value for millions of homes based on various factors such as recent sales data location and property characteristics However it s essential to note that Zestimates are estimates and may not always reflect the true market value accurately In addition to residential properties Zillow also includes listings for commercial properties land and vacation rentals What is web scraping Web scraping is the process of extracting data from websites automatically It involves using software or scripts to access web pages download the content and extract specific information from the HTML code of the web pages Web scraping allows you to collect large amounts of data from websites efficiently and can be used for various purposes such as data analysis research or populating a database How to scrape Zillow using Python You can use Python with libraries like requests for making HTTP requests and BeautifulSoup or Scrapy for parsing and extracting the relevant information from the web pages Here s an example of how to use Python with requests and BeautifulSoup to scrape data from a webpage import requestsfrom bs import BeautifulSoupurl headers User Agent Mozilla X Linux x AppleWebKit KHTML like Gecko Chrome Safari response requests get url headers headers if response status code soup BeautifulSoup response content html parser addresses soup find all address data test property card addr for address in addresses print address getText Output list of addresseselse print Failed to retrieve data Status code response status code Please remember that it will probably be required to implement some rate limiting between requests or use a proxy and dynamically change User agents per request So if you see an error ImportError No module named requests while running this script you probably need to install the requests package or BeautifulSoup and here you can find information on how you can fix this error How to scrape Zillow using Python Selenium Here s a simple example of how to use Python Selenium for web scraping from selenium import webdriverfrom selenium webdriver common by import By Replace path to webdriver with the path to your web driver executable driver webdriver Chrome executable path path to webdriver url driver get url Extract data using Selenium methods items driver find elements By CSS SELECTOR div grid search results ul li for item in items address item find element By CSS SELECTOR address print address Close the web driver after scraping driver quit You can find more examples of how to scrape Zillow using Python in this thread as well	2023-07-21 18:09:12
Apple	AppleInsider - Frontpage News	How to use iPad as a portable monitor for your Nintendo Switch	https://appleinsider.com/inside/ipados-17/tips/how-to-use-ipad-as-a-portable-monitor-for-your-nintendo-switch?utm_medium=rss	How to use iPad as a portable monitor for your Nintendo SwitchA feature in iPadOS enables iPads to work with USB C capture cards Here s how to use the feature to make your large screen iPad work as an external monitor for your Nintendo Switch Use iPad as a monitorApple briefly mentioned external webcam support when it revealed iPadOS during WWDC This support uses a system that brings video recorded from a device into a compatible camera app which coincidentally applies to devices like capture cards Read more	2023-07-21 18:50:00
Apple	AppleInsider - Frontpage News	Apple Vision Pro firmware hints at three distinct battery models	https://appleinsider.com/articles/23/07/21/apple-vision-pro-firmware-hints-at-three-distinct-battery-models?utm_medium=rss	Apple Vision Pro firmware hints at three distinct battery modelsAccording to software update support for Apple Vision Pro released on Thursday night there are three battery models to power the headset Apple Vision Pro and attached battery packOn Thursday Apple rolled out the back end that enables the Vision Pro to receive firmware updates And in it are details about models numbers of the Apple Vision Pro battery kit so the back end can identify specifically what version of a firmware needs to be deployed for a specific combination of hardware Read more	2023-07-21 18:18:01
Apple	AppleInsider - Frontpage News	AI companies pledge to safety commitments at White House, but Apple's absence raises eyebrows	https://appleinsider.com/articles/23/07/21/ai-companies-pledge-to-safety-commitments-at-white-house-but-apples-absence-raises-eyebrows?utm_medium=rss	AI companies pledge to safety commitments at White House but Apple x s absence raises eyebrowsThe White House convened with heads of seven companies to drive voluntary commitments to develop safe and transparent AI but Apple was not among those present and it s not clear why The White House meets with AI companiesThe administration has recently announced that it has secured voluntary commitments from seven leading artificial intelligence AI companies to manage the risks posed by AI This initiative underscores safety security and trust principles in developing AI technologies Read more	2023-07-21 18:08:11
海外TECH	Engadget	Reddit takes control of popular subreddit that protested API changes	https://www.engadget.com/reddit-takes-control-of-popular-subreddit-that-protested-api-changes-182005439.html?src=rss	Reddit takes control of popular subreddit that protested API changesAs it promised Reddit has been taking over control of subreddits that shut down to protest changes to the platform s API The admin account u ModCodeofConduct has taken sole charge of r malefashionadvice a community with more than million subscribers The subreddit joined thousands of others in closing shop in mid June to show opposition to the new API rules Other subreddits started allowing users to post porn in protest Third party developers used the API to build thousands of apps that hook into Reddit Many of their apps helped with moderation or accessibility However Reddit decided to start charging for the formerly free API forcing the developers of many popular apps to abandon their projects A transcription community also closed over a quot lack of trust quot in the platform Reddit saw a sizable drop in traffic after the protest started according to third party data The company warned moderators that kept their subreddits private or in read only mode that it would replace them One of the former r malefashionadvice mods told The Verge that Reddit removed their privileges on Thursday something they d been expecting to happen In a pinned post u ModCodeofConduct sought volunteers to take over the subreddit The admin account has posted similar messages on other subreddits for which it s the only current moderator including r AccidentalRenaissance which has more than subscribers and r ShittyLifeProTips million subscribers nbsp quot We are and have been enforcing the moderator Code of Conduct This is not new because of the protests quot a Reddit spokesperson told Engadget Under its guidelines Reddit considers a public community that has indefinitely been made private to be quot abandoned quot and it seeks quot new mods who want to reinvigorate it quot The spokesperson added that quot we have a practice of reactivating private high subscriber communities that are being camped on quot nbsp Meanwhile Reddit this week revived r place a communal art project that allows each user to place a single pixel onto a large mosaic once every few minutes Unsurprisingly redditors are using it to call out the company and CEO Steve Huffman aka u spez quot Never forget what was stolen from you quot reads a message on the mosaic that directs viewers to the r SaverdPartyApps community the new reddit r place is going exactly as expected lmao pic twitter com UVKlxOZMkー archer archer uwu July This article originally appeared on Engadget at	2023-07-21 18:20:05
Cisco	Cisco Blog	Enhancing the China TAC Partner Enablement Program with Cisco Black Belt Academy	https://feedpress.me/link/23532/16253445/enhancing-the-china-tac-partner-enablement-program-with-cisco-black-belt-academy	Enhancing the China TAC Partner Enablement Program with Cisco Black Belt AcademyWith Cisco Black Belt Academy trainings we enable our partners on Sell and Deploy as well as give post Sales Support around our latest Cisco solutions	2023-07-21 18:00:53
ニュース	BBC News - Home	Russian hardline Putin critic and commander Strelkov detained in Moscow	https://www.bbc.co.uk/news/world-europe-66265892?at_medium=RSS&at_campaign=KARANGA	ukraine	2023-07-21 18:14:22
ニュース	BBC News - Home	The Ashes Highlights: Mark Wood gives England hope in battle against Australia	https://www.bbc.co.uk/sport/av/cricket/66273299?at_medium=RSS&at_campaign=KARANGA	The Ashes Highlights Mark Wood gives England hope in battle against AustraliaWatch highlights of day three of the fourth Ashes Test at Old Trafford as Mark Wood strikes crucial late blows in England s battle against Australia	2023-07-21 18:25:03
ビジネス	ダイヤモンド・オンライン - 新着記事	一時的なブームかと思われた「サウナ」がますます盛り上がる理由とは - 医者が教える　究極にととのう　サウナ大全	https://diamond.jp/articles/-/326322	一時的なブームかと思われた「サウナ」がますます盛り上がる理由とは医者が教える究極にととのうサウナ大全サウナの入り方に戸惑う初心者から、サウナ慣れしてととのいにくくなってきた熟練サウナーまでそれぞれに合わせた「究極にととのう」ための入り方を、自らもサウナーの医師が解説した書籍「医者が教える究極にととのうサウナ大全」が発売に日常のパフォーマンスをあげ、美と健康をレベルアップする「最高のサウナの入り方」を、世界各国のエビデンスを元に教えます。	2023-07-22 03:50:00
ビジネス	ダイヤモンド・オンライン - 新着記事	臓器を変化させて、自分が産んだ卵を食べる…絶滅した不思議な生物の「すごい進化」とは？ - 若い読者に贈る美しい生物学講義	https://diamond.jp/articles/-/326190	臓器を変化させて、自分が産んだ卵を食べる…絶滅した不思議な生物の「すごい進化」とは若い読者に贈る美しい生物学講義万部突破のロングセラー養老孟司氏「面白くてためになる。	2023-07-22 03:47:00
ビジネス	ダイヤモンド・オンライン - 新着記事	【人気予備校講師が教える】「意識高い系」の英語学習に気後れしている人に推奨したい「英語力不問の勉強法」とは？ - アメリカの中学生が学んでいる14歳からの世界史	https://diamond.jp/articles/-/326200	【人気予備校講師が教える】「意識高い系」の英語学習に気後れしている人に推奨したい「英語力不問の勉強法」とはアメリカの中学生が学んでいる歳からの世界史発売直後から大きな話題を呼び、中国・ドイツ・韓国・ブラジル・ロシア・ベトナム・ロシアなど世界各国にも広がった「学び直し本」の圧倒的ロングセラーシリーズ「BigFatNotebook」の日本版が刊行。	2023-07-22 03:44:00
ビジネス	ダイヤモンド・オンライン - 新着記事	【神様】は見ている。運がいい人、お金持ちの人が大暑に食べるセンスあるもの - 旬のカレンダー	https://diamond.jp/articles/-/326401	【神様】は見ている。	2023-07-22 03:40:00
ビジネス	ダイヤモンド・オンライン - 新着記事	暑くて「ぼ～」がなくなる脳トレ - 1分間瞬読ドリル	https://diamond.jp/articles/-/326545		2023-07-22 03:35:00
ビジネス	ダイヤモンド・オンライン - 新着記事	【相続の裏ワザ】他の相続人に内緒でお金を残す方法がある!? 合法ノウハウを紹介！ - ぶっちゃけ相続「手続大全」	https://diamond.jp/articles/-/326537	裏ワザ	2023-07-22 03:30:00
ビジネス	ダイヤモンド・オンライン - 新着記事	【儲かる副業】Googleアドセンスのオススメ掲載位置3選 - ブログで５億円稼いだ方法	https://diamond.jp/articles/-/326536	方法	2023-07-22 03:25:00
ビジネス	ダイヤモンド・オンライン - 新着記事	【韓国で120万部のベストセラー！】なぜ韓国で空前絶後の販売記録を達成したのか？【日本人に足りないもの】 - 勉強が一番、簡単でした	https://diamond.jp/articles/-/326496	【韓国で万部のベストセラー】なぜ韓国で空前絶後の販売記録を達成したのか【日本人に足りないもの】勉強が一番、簡単でした韓国で長く読まれている勉強の本がある。	2023-07-22 03:20:00
ビジネス	ダイヤモンド・オンライン - 新着記事	「何をやっても絶対にやせない」と断言する人がやせない意外な理由 - 生きてるだけで、自然とやせる！　やせる日常動作大図鑑	https://diamond.jp/articles/-/326488	「何をやっても絶対にやせない」と断言する人がやせない意外な理由生きてるだけで、自然とやせるやせる日常動作大図鑑万人以上のダイエットを成功させ、自身もウエストcmを年間キープする健康運動指導士・植森美緒の新刊「生きてるだけで、自然とやせるやせる日常動作大図鑑」。	2023-07-22 03:15:00
ビジネス	ダイヤモンド・オンライン - 新着記事	夏休みの宿題で苦労する子の特徴と解決法 - 子育て365日	https://diamond.jp/articles/-/326483	夏休みの宿題で苦労する子の特徴と解決法子育て日【総フォロワー数万人】親力アドバイザーとして活動する教育評論家の親野智可等氏は、「子育てそのものをラクにしていくことが、日本の育児、教育の最大課題」と指摘しています。	2023-07-22 03:10:00
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