投稿時間:2021-12-02 02:31:31 RSSフィード2021-12-02 02:00 分まとめ(43件)

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AWS	AWS News Blog	New DynamoDB Table Class – Save Up To 60% in Your DynamoDB Costs	https://aws.amazon.com/blogs/aws/new-dynamodb-table-class-save-up-to-60-in-your-dynamodb-costs/	New DynamoDB Table Class Save Up To in Your DynamoDB CostsToday we are announcing Amazon DynamoDB Standard Infrequent Access DynamoDB Standard IA A new table class for DynamoDB that reduces storage costs by percent compared to existing DynamoDB Standard tables and that delivers the same performance durability and scaling Nowadays many customers are moving their infrequently accessed data between DynamoDB and Amazon Simple Storage Service Amazon …	2021-12-01 16:58:46
AWS	AWS News Blog	New – Amazon RDS Custom for SQL Server Is Generally Available	https://aws.amazon.com/blogs/aws/new-amazon-rds-custom-for-sql-server-is-generally-available/	New Amazon RDS Custom for SQL Server Is Generally AvailableOn October we launched Amazon RDS Custom for Oracle a managed database service for applications that require customization of the underlying operating system and database environment RDS Custom lets you access and customize your database server host and operating system for example by applying special patches and changing the database software settings to …	2021-12-01 16:54:46
AWS	AWS News Blog	New – Amazon DevOps Guru for RDS to Detect, Diagnose, and Resolve Amazon Aurora-Related Issues using ML	https://aws.amazon.com/blogs/aws/new-amazon-devops-guru-for-rds-to-detect-diagnose-and-resolve-amazon-aurora-related-issues-using-ml/	New Amazon DevOps Guru for RDS to Detect Diagnose and Resolve Amazon Aurora Related Issues using MLToday we are announcing Amazon DevOps Guru for RDS a new capability for Amazon DevOps Guru It allows developers to easily detect diagnose and resolve performance and operational issues in Amazon Aurora Hundreds of thousands of customers nowadays are using Amazon Aurora because it is highly available scalable and durable But as applications grow in …	2021-12-01 16:51:42
js	JavaScriptタグが付けられた新着投稿 - Qiita	【p5.js】『Generative Design with p5.js』P_1_2_1_01 で登場する関数 part.1 int()	https://qiita.com/shibuya01055/items/e54d7ad6f0f9b35b3688	tileCountXintmapmouseXwidthmapはnumber型を返すそうなので、なぜintを使用しているかはmapの中身を調べないとわかりませんがごめんなさい、想定できることは浮動少数点を整数に変えようとしているのではと思いました。	2021-12-02 01:08:19
Program	[全てのタグ]の新着質問一覧｜teratail（テラテイル）	git cloneができない	https://teratail.com/questions/371892?rss=all	gitclone が でき ない gitnbspclone が でき ませ ん 。	2021-12-02 01:47:33
Program	[全てのタグ]の新着質問一覧｜teratail（テラテイル）	MySQLで未来日を含むデータ取得時に日付の降順でソートしたい。ただし、今日の日付については先頭にしたい。	https://teratail.com/questions/371891?rss=all	MySQLで未来日を含むデータ取得時に日付の降順でソートしたい。	2021-12-02 01:46:50
Program	[全てのタグ]の新着質問一覧｜teratail（テラテイル）	SiameseNetwork実行時のGPUの使用率	https://teratail.com/questions/371890?rss=all	SiameseNetwork実行時のGPUの使用率kerasとtensorflowで実装したSiamesenbspNetworkを実行するとGPUの使用率がくらいを推移し、CPUの使用率がくらいになります。	2021-12-02 01:38:29
Program	[全てのタグ]の新着質問一覧｜teratail（テラテイル）	Unity インポートしたAssetでエラー → Assetごと削除したにも関わらずエラーが残ったままになる	https://teratail.com/questions/371889?rss=all	UnityインポートしたAssetでエラー→Assetごと削除したにも関わらずエラーが残ったままになるUnityでAssetをインポートしました。	2021-12-02 01:36:03
Program	[全てのタグ]の新着質問一覧｜teratail（テラテイル）	掲示板作成の下準備について	https://teratail.com/questions/371888?rss=all	紹介	2021-12-02 01:21:45
Linux	Ubuntuタグが付けられた新着投稿 - Qiita	kaggle: command not found	https://qiita.com/citrus1998/items/5fc7e6656662edd7d912		2021-12-02 01:56:23
Docker	dockerタグが付けられた新着投稿 - Qiita	Docker Desktopが有料になるのでPodmanを使ってみる	https://qiita.com/curryside/items/93e7a475a3412fc450ea	今から脱DockerDesktopを行うのはリスクが高いため、pro以上のライセンスを購入することになると思うのですが、個人的にDocker以外のコンテナランタイムに興味が出たので勉強がてら色々いじってみてます。	2021-12-02 01:27:53
Docker	dockerタグが付けられた新着投稿 - Qiita	コンテナからコンテナを操作する	https://qiita.com/ymktmk_tt/items/d32f696070490d90d218	Dockerがインストールされているコンテナを使用するのはDinDと同じ先程と同じように起動中のコンテナを確認します最低つあると今回の検証が理解できますdockerpsコンテナを起動して中に入ります。	2021-12-02 01:26:53
Docker	dockerタグが付けられた新着投稿 - Qiita	Kubernetes超入門	https://qiita.com/dsagnlaiweudlbfna/items/55b162197afa74306067	kubeproxykubeletコンテナランタイムリソースクラスタ内の構成要素上図のNodePodリソース名役割Nodeクラスタで実行するコンテナを配置するためのサーバNamaspaceクラスタ内の仮想クラスタPodコンテナ実行に関する最小単位リソースRepricaSet同じ仕様のPodを複数生成・管理するDeploymentReplicaSetの世代管理をするServicePodの集合にアクセスするための経路を定義IngressServiceをksクラスタの外部に公開する他にも多くのリソースがあるksでは、これらのリソースがクラスタ内で強調しながらコンテナシステムを構成している。	2021-12-02 01:19:56
技術ブログ	Developers.IO	[レポート] A least privilege journey: AWS IAM policies and Access Analyzer #SEC324 #reinvent	https://dev.classmethod.jp/articles/reinvent-2021-report-sec324/	access	2021-12-01 16:22:18
海外TECH	Ars Technica	Chrome OS update turns Chromebooks into scanners	https://arstechnica.com/?p=1817153	cameras	2021-12-01 16:31:26
海外TECH	Ars Technica	Here’s why Elon Musk asked his SpaceX employees to work Thanksgiving	https://arstechnica.com/?p=1817058	problems	2021-12-01 16:17:56
海外TECH	MakeUseOf	How to Add Alt Text to Your Facebook Photos	https://www.makeuseof.com/how-to-add-alt-text-to-facebook-photos/	facebook	2021-12-01 16:30:12
海外TECH	MakeUseOf	YouTube Names the Top Videos and Creators of 2021	https://www.makeuseof.com/top-youtube-videos-of-2021/	youtube	2021-12-01 16:16:02
海外TECH	MakeUseOf	Notion vs. Confluence: Which Is the Best Collaboration Tool?	https://www.makeuseof.com/notion-vs-confluence/	tools	2021-12-01 16:15:47
海外TECH	MakeUseOf	How to Close Apps on iPad and iPhone	https://www.makeuseof.com/close-apps-on-ipad-iphone/	quick	2021-12-01 16:01:13
海外TECH	MakeUseOf	AirPods Microphone Not Working? Here's What to Do	https://www.makeuseof.com/airpod-microphone-not-working/	airpods	2021-12-01 16:01:14
海外TECH	DEV Community	How Should an Ideal "Deploy PHP via GitHub Actions" Hosting Service Look Like?	https://dev.to/ionos/how-should-an-ideal-deploy-php-via-github-actions-hosting-service-look-like-1i44	How Should an Ideal quot Deploy PHP via GitHub Actions quot Hosting Service Look Like Hi everyone I m Robert Product Owner at IONOS We recently launched a hosting tool called Deploy Now that allows users to deploy static sites via GitHub Actions We would like to move on to PHP in the next step Thus my question How should a Deploy PHP via GitHub Actions hosting product look like so that you would use and love it What do you consider important features What annoys you when using other hosting services We ve already put together a first Alpha If you would like to join you can send me a mail with your GitHub name to info deploynow dev	2021-12-01 16:38:11
海外TECH	DEV Community	Five Data Quality Tools You Should Know	https://dev.to/mbogan/five-data-quality-tools-you-should-know-5gkd	Five Data Quality Tools You Should KnowData quality ensures that an organization s data is accurate consistent complete and reliable The quality of the data dictates how useful it is to the enterprise Ensuring data qualityーespecially with the sheer amount of data available to today s enterprisesーis a tremendously complex beast To do this effectively the modern enterprise relies on data quality tools In this post we will consider five data quality tools and see how they can help you in your data journey Great ExpectationsSpectaclesDatafolddbt Data Build Tool EvidentlyBefore we dive in with our tools let s first set the stage for why ensuring data quality is a business essential Why Bother with Data Quality Today s businesses are dependent on data more than ever before According to a recent Gartner data quality market survey poor data quality costs enterprises an average of million annually Erroneous data can result in lost business opportunities bad market reputation low customer confidence and significant financial losses How Do We Get Bad Data Broadly both external and internal factors can cause data quality issues External causes refer to things that are out of an enterprise s control such as third party data Internal causes stem from problems within the organization s ecosystem External factors can manifest when organizations use outside data sources For example different companies IT systems may be integrated after a merger or acquisition Some organizations may ingest data from third party sources like Meta Google Analytics or AWS Data Exchange A failure to audit data quality sourced from third parties or poor input validation in applications can also cause data quality issues An example of an internal factor could be enterprise data silos Data silos are little known data sources used by only certain teams or departments within an organization Another factor is the lack of proper data ownership Yet another cause can be using wrong data types and data models On top of this software engineers at any layer of the application may introduce code updates that change fields and break the data Any of these factors can cause poor data quality and inconsistencies Measuring Data QualityHow data quality plays out in an organization largely depends on how that organization defines it and prioritizes it However there are seven useful indicators of quality Relevancy how relevant the data is for the business Accuracy how accurate the data is Completeness whether the data is complete and in a stable state Consistency how consistent the data is across the organization If the same piece of data from multiple sources is transformed using the same application the output should always be the same Conformity whether the data adheres to the standards and format expected by business rules Uniqueness whether multiple copies of the same data are available in the enterprise or if it s the single source of truth Timeliness how timely the data is for current business needs Ensuring Data QualityEnterprises typically use automated tools for checking data quality These tools can be either custom developed or vendor supplied Both choices have their pros and cons In house solutions are feasible if there are IT resources available and data quality requirements are well defined Roll your own solutions can also help cut down capital expenditures On the other hand building a custom solution can be time consuming and that lost time sometimes outweighs the benefits Buying a solution is best if a company needs a reliable solution quickly and doesn t want to maintain it themselves Now that we ve laid the groundwork let s look at our five data quality tools Of course this is not an exhaustive list and there are many other tools in the market The tools you choose to mix and match for your data quality needs will depend on your use case and budget Great ExpectationsGreat Expectations is an open source library used for validating documenting and profiling data Users define assertions in the form of expectations An expectation is exactly what the name suggestsーit s the quality you are expecting from the data Assertions are written in a declarative language For example here is a sample assertion where the column passenger count value has to be between and Another feature is automated data profiling Great Expectations can auto generate expectations from the data based on its statistics This can save time as data quality engineers don t have to write assertions from scratch Once expectations are ready they can be incorporated into the data pipeline For example in Apache Airflow the data validation step can be defined as a checkpoint script using the BashOperator This will trigger the quality check as data flows through the pipeline Great Expectations is compatible with most data sources such as CSV files SQL databases Spark DataFrames and Pandas SpectaclesSpectacles is a continuous integration CI tool designed to validate your project s LookML LookML is Looker s data modeling language If you aren t familiar with Looker it s a BI platform that allows people who don t “speak SQL to analyze and visualize data Spectacles validates LookML by running the SQL query behind it and checking for errors It integrates with GitHub GitLab and Azure DevOps The tool fits nearly any deployment patternーwhether called manually triggered from a pull request or run as part of an ETL job Having Spectacles as part of a CI CD workflow means LookML queries are automatically validated before the code is deployed into production DatafoldDatafold is a proactive data quality platform that has three main components Data Diff Data Catalog with column level lineage and Data Monitoring Data Diff allows you to compare two datasets for example dev and prod before merging them into production This helps users to adopt a more proactive development strategy Data Diff can also be integrated into a team s CI CD pipeline such that diffs can show up alongside code changes in GitHub or GitLab As an example let s look at the taxi trips dataset that comes with Datafold s sandbox environment As you can see in the image below we have run a Data Diff operation between datadiff demo public taxi trips and datadiff demo dev taxi trips datasets On the detailed panel on the right you can select different tabs to get different perspectives on the results The Overview tab will contain a rundown of the successful and failed tests The Schema section shows whether the columns from both datasets data type order of appearance match The Primary Keys section shows what percentage of primary keys are unique not NULL and matching between both datasets Although the Overview tab is a great source of information other tabs provide more useful details For example the Schemas tab can look like this Here the highlighted column is where the two datasets differ This saves time because data engineers can concentrate on the content of those two fields The Data Catalog lists all the data sources registered with Datafold It also allows users to find and profile any particular dataset using filters This can be a huge timesaver for organizations with hundredsーor even thousandsーof datasets It is an especially useful way to uncover anomalies Particularly the data lineage feature can help answer questions like the following Where is this value coming from How is this value affecting other tables How are these tables related The Data Catalog presents a dashboard like the one shown below As you scroll down you will see a list of each column The columns provide important details at a glance Completeness refers to what percentage of the values are not NULL Distribution shows which values appear the most and the least It will also show if the values are skewed towards a certain range Clicking the icon under Lineage will show something like this The graphical lineage diagram helps data engineers quickly find where a column s values come from Lineage can be checked for tables for all or specific columns and for upstream or downstream relationships Datafold s monitoring feature allows data engineers to write SQL commands to find anomalies and create automated alerts Alerting is backed by machine learning which studies the trends and seasonalities in the data to accurately spot anomalies The images below show such a query The query in this example is auto generated by Datafold It keeps track of the daily total fare and the total number of trips in the taxi dataset Datafold also allows users to examine the trend of anomalies over time as shown in the image below Here the yellow dots represent anomalies with respect to the minimum and maximum values dbtdbt is a data transformation workflow tool It runs the data transformation code against the target database before deployment showing how the code will affect the data and highlighting any potential problems dbt does this by running SELECT statements to build the end state of the data based on the transformation logic dbt is easy to integrate into the modern BI stack and can be a valuable part of a CI CD pipeline It can be run automatically upon a pull request or on a schedule It has an automatic rollback feature that stops potentially code breaking changes from getting deployed Datafold and dbt can be used together for automating data quality testing Just like dbt Datafold can be integrated into the CI CD pipeline When used together they show how your code affects your data EvidentlyEvidently is an open source Python library that analyzes and monitors machine learning models It generates interactive reports based on Panda DataFrames and CSV files for troubleshooting models and checking data integrity These reports show model health data drift target drift data integrity feature analysis and performance by segment To see how Evidently can help you can open up a new notebook on Google Colab and copy the following code snippet pip install evidentlyimport pandas as pdimport mathfrom sklearn import datasetsfrom evidently dashboard import Dashboardfrom evidently tabs import DataDriftTabwine datasets load wine wine frame pd DataFrame wine data columns wine feature names number of rows len wine frame wine data drift report Dashboard tabs DataDriftTab wine data drift report calculate wine frame math floor number of rows wine frame math floor number of rows column mapping None wine data drift report save report html This code will generate and load a report in the browser The report s dashboard overview will show the distribution of references and current values based on every feature More close up inspection is possible from here For example the graph below shows the exact values where current and reference datasets differ Evidently has nifty features like numerical target drift categorical target drift regression model performance classification model performance and probabilistic classification model performance Final WordsData quality standards and business requirements are constantly evolving making the task of ensuring data quality a continuous journey The introduction of bad data into your data driven decision making will have many consequencesーall of which are detrimental to the business That s why it s necessary to maintain standards of data quality at every step in the data journey The five tools discussed here can be used during different phases of data processing and usage In your own organization s data journey it s worth testing out some of these tools individuallyーor in different combinationsーto see how they can benefit your use cases	2021-12-01 16:18:04
海外TECH	DEV Community	Rest and Spread operator	https://dev.to/arndddev/rest-and-spread-operator-18ig	Rest and Spread operatorHello programmers The ES Rest and the Spread parameters are still very unclear to some people and it seems to have so many people confused because they are identical The Rest and Spread operators are represented with I still don t have any idea on why the both of them are represented with honestly I feel like they should have come up with something else So now let s dive in to what they are and what they are used for REST OPERATORIf we have a function and we don t know how many arguments that will be passed in we use the Rest operator In the image above the was used to handle what was passed into the function if more values are passed into the function the Rest operator will take care of them SPREAD OPERATORThe Spread operator can be used in different situations it can also work with a function I ll show you the different scenarios were it can be used In the picture above the Spread operator was used to expand the array so it could be passed into the function In this image the spread operator was used to neutralize an array so an operation could be carried out on each of the values in the array Basically the Spread operator is used to neutralize an array Alright this is all I have on the Rest and Spread operator I hope you guys apply it in your new projects	2021-12-01 16:12:11
Apple	AppleInsider - Frontpage News	Don't get Spotify FOMO - here's how to get your Apple Music Replay playlist	https://appleinsider.com/articles/21/12/01/dont-get-spotify-fomo----heres-how-to-get-your-apple-music-replay?utm_medium=rss	Don x t get Spotify FOMO here x s how to get your Apple Music Replay playlistApple Music users may feel left out seeing all of the Spotify Wrapped stats being shared around social media but Apple has a similar service called Replay Here s how to get yours Get your Apple Music Replay playlistSpotify has a unique feature called Spotify Wrapped that shows off your top artists songs and genres of the year It is a trendy function that gets shared all over social media at the end of each year but Apple Music fans need not miss out Read more	2021-12-01 16:23:01
Apple	AppleInsider - Frontpage News	Luna Display update adds 5K resolution option and PC to Mac mode	https://appleinsider.com/articles/21/12/01/luna-display-update-adds-5k-resolution-option-and-pc-to-mac-mode?utm_medium=rss	Luna Display update adds K resolution option and PC to Mac modeAn update to the dual screen app Luna Display adds support for K and K displays plus allows PC users to treat a Mac as a second display Luna DisplayFollowing its previous improvements for Apple Silicon and its launch on Windows Luna Display has been updated for Mac PC and iPad users Already a long time second display tool Luna Display adds support for higher resolution screens along with hardware improvements Read more	2021-12-01 16:00:34
Apple	AppleInsider - Frontpage News	Last call: Save up to 70% on Adobe Creative Cloud	https://appleinsider.com/articles/21/11/15/black-friday-starts-now-at-adobe-save-up-to-70-on-creative-cloud?utm_medium=rss	Last call Save up to on Adobe Creative CloudHoliday deal hunters can save up to on Adobe s Creative Cloud All Apps plan during the company s Black Friday and Cyber Monday sale that runs through Dec Adobe Creative Cloud on saleAdobe s official Black Friday and Cyber Monday deals are still in effect and that means hefty savings on its Creative Cloud All Apps plan New users can save up to instantly on the first year of the suite of creative software which includes over desktop and mobile apps including Photoshop Illustrator InDesign Premiere Pro and Acrobat Read more	2021-12-01 16:11:18
Apple	AppleInsider - Frontpage News	How to let sites use pop-up windows in Safari in macOS Monterey	https://appleinsider.com/articles/21/12/01/how-to-let-sites-use-pop-up-windows-in-safari-in-macos-monterey?utm_medium=rss	How to let sites use pop up windows in Safari in macOS MontereyNot all pop up windows are evil spam some of them remain genuinely useful Here s how to get Safari on macOS Monterey to show you the ones you actually want while still shielding you from all of the rest Safari for MacIt is still the case that there are websites that use pop up windows like it was the early s and we hadn t really heard of spam Safari on macOS Monterey will protect you from them and protect you so well that you almost certainly don t even notice Read more	2021-12-01 16:25:09
海外TECH	Engadget	Verizon and Bang & Olufsen made soundbars with Android TV built-in	https://www.engadget.com/verizon-bang-and-olufsen-soundbars-android-tv-161520556.html?src=rss	Verizon and Bang amp Olufsen made soundbars with Android TV built inVerizon Engadget s former parent company isn t just relying on no frills media players to push its Stream TV platform The carrier has unveiled the Stream TV Soundbar shown below and Stream TV Soundbar Pro at top both of which mate Android TV with Bang amp Olufsen s audio know how and some high end features to match All of them include Dolby Atmos surround sound and content sensitive sound field selection ーit s just a question of how much B amp O influence you want The base Stream TV Soundbar costs with five speakers quot tuned quot by B amp O as well as two HDMI ports Step up to the Soundbar Pro and you ll get nine B amp O speakers a third HDMI port and a B amp O designed profile Both run the same Stream TV interface with similar software features including Chromecast streaming and the Google Play Store so it really comes down to your budget and desire for Danish audio Both soundbars are available solely through Verizon as of today December st They face stiff competition On top of direct rivals like JBL s Link Bar you can find plenty of not quite so connected soundbars like the Sonos Arc and Beam or Sony s HT A Verizon s bars make the most sense if you re already shopping the company s store unimpressed with your immediately available alternatives or just want a relatively inexpensive way to get B amp O sound into your living room	2021-12-01 16:15:20
海外TECH	The Apache Software Foundation Blog	Apache Month in Review: November 2021	https://blogs.apache.org/foundation/entry/apache-month-in-review-november1	Apache Month in Review November Welcome to the latest monthly overview of events from the Apache community Here s a summary of what happened in November New This Month Sponsor Success at Apache the blog series that focuses on the people and processes behind why the ASF quot just works quot featuring insights and experiences from the perspective of select ASF Sponsors The latest entry is nbsp quot Exploration and Practice of the Apache Way in Tencent quot by Mark Shan Apache Month in Review October Important Dates Next Board Meeting December Board calendar and minutes Apache TVM TVMCon December Infrastructure Our seven member Infrastructure team on three continents oversees our highly reliable distributed network under the leadership of VP Infrastructure David Nalley and Infrastructure Administrator Greg Stein ASF Infrastructure supports Apache projects and their communities across individual machines repositories PB in traffic annually M downloads per month and M daily emails on lists ASF Infra performs M weekly checks to ensure services are available around the clock The average uptime in November was nbsp Committer Activity In November Apache Committers changed lines of code over commits The Committers with the top highest contributions in order were Krist Wongsuphasawat Jesse Yang Ville Brofeldt Yongjie Zhao and Mark Thomas nbsp Project Releases and Updates New releases from Apache Airflow Big Data APISIX API Arrow Big Data Avro Big Data nbsp Beam Big Data Camel Integration CloudStack Cloud Computing Commons CLI Libraries DolphinScheduler Workflow Groovy Programming Languages HttpComponents Servers IoTDB IoT Jackrabbit Content JSPWiki Content Kafka Big Data Lucene Search nbsp MINA Network Client Server NiFi Big Data OFBiz Enterprise Processes Automation ERP Ozone Big Data POI Content nbsp Qpid Messaging ShardingSphere Big Data Skywalking Application Performance Management nbsp Solr Search Struts Web Frameworks Superset Big Data Tomcat Servers nbsp Traffic Control Servers nbsp Traffic Server Servers nbsp Wicket Web Frameworks Apache Project Anniversaries in November Apache Ant years HttpComponents years Attic Buildr CouchDB and Qpid years Community Development quot ComDev quot years OODT and ZooKeeper years Kafka and Syncope years Ambari years BookKeeper Drill and MetaModel years Brooklyn Groovy Kylin and REEF years Geode years Guacamole Impala and Mnemonic years Griffin years Petri years and Superset and TVM year Many happy returns The Apache Incubator is the primary entry path for projects wishing to become an official part of the ASF More than three dozen projects are currently undergoing development in the Apache Incubator To see our Weekly News Round ups published every Friday visit nbsp nbsp and click on the calendar or hop directly to nbsp nbsp For real time updates sign up for Apache related news by sending mail to announce subscribe apache org and follow nbsp TheASF on Twitter We appreciate your support	2021-12-01 16:54:19
海外科学	NYT > Science	This Dinosaur Found in Chile Had a Battle Ax for a Tail	https://www.nytimes.com/2021/12/01/science/dinosaur-tail-weapon.html	unique	2021-12-01 16:16:14
海外科学	BBC News - Science & Environment	Scientists claim big advance in using DNA to store data	https://www.bbc.co.uk/news/science-environment-59489560?at_medium=RSS&at_campaign=KARANGA	advance	2021-12-01 16:03:33
金融	金融庁ホームページ	「火災保険水災料率に関する有識者懇談会」（第３回）を開催します。	https://www.fsa.go.jp/news/r3/singi/20211201-2.html	有識者懇談会	2021-12-01 17:00:00
ニュース	BBC News - Home	Help for adapting homes pledged in social care plan	https://www.bbc.co.uk/news/uk-politics-59494574?at_medium=RSS&at_campaign=KARANGA	immediate	2021-12-01 16:29:36
ニュース	BBC News - Home	PMQs: PM under fire over No 10 lockdown Christmas parties	https://www.bbc.co.uk/news/uk-politics-59491568?at_medium=RSS&at_campaign=KARANGA	downing	2021-12-01 16:50:39
ニュース	BBC News - Home	US Supreme Court hears landmark abortion case	https://www.bbc.co.uk/news/world-us-canada-59495210?at_medium=RSS&at_campaign=KARANGA	american	2021-12-01 16:37:29
ニュース	BBC News - Home	Covid: No need to cancel Christmas party plans - Javid	https://www.bbc.co.uk/news/uk-59486165?at_medium=RSS&at_campaign=KARANGA	booster	2021-12-01 16:12:00
ニュース	BBC News - Home	Rust: US Police to search arms supplier over fatal film shooting	https://www.bbc.co.uk/news/entertainment-arts-59490286?at_medium=RSS&at_campaign=KARANGA	halyna	2021-12-01 16:00:51
ニュース	BBC News - Home	University strikes: Students react as staff walk out	https://www.bbc.co.uk/news/education-59477569?at_medium=RSS&at_campaign=KARANGA	outstudents	2021-12-01 16:19:34
ニュース	BBC News - Home	Seven-time champion O'Sullivan into UK Championship quarters	https://www.bbc.co.uk/sport/snooker/59494025?at_medium=RSS&at_campaign=KARANGA	Seven time champion O x Sullivan into UK Championship quartersRecord seven time champion Ronnie O Sullivan claims a routine win over Noppon Saengkham to reach the quarter finals of the UK Championship	2021-12-01 16:57:52
北海道	北海道新聞	新年一般参賀、来年も中止　陛下ビデオメッセージ検討	https://www.hokkaido-np.co.jp/article/618069/	一般参賀	2021-12-02 01:18:11
北海道	北海道新聞	トランプ氏、討論会前にコロナ陽性　昨年の米大統領選巡り英紙報道	https://www.hokkaido-np.co.jp/article/618072/	米大統領	2021-12-02 01:08:43
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