投稿時間:2022-02-04 14:29:54 RSSフィード2022-02-04 14:00 分まとめ(36件)

カテゴリー等	サイト名等	記事タイトル・トレンドワード等	リンクURL	頻出ワード・要約等/検索ボリューム	登録日
IT	気になる、記になる…	Microsoft、｢Windows 11｣向けの新しい｢Media Player｣アプリをBetaチャネルでも配信開始	https://taisy0.com/2022/02/04/151630.html	groove	2022-02-04 04:22:19
IT	気になる、記になる…	Microsoft、｢Windows Insider Program｣の各チャネルの今後の方針や新アイコンを発表	https://taisy0.com/2022/02/04/151627.html	relea	2022-02-04 04:09:24
TECH	Engadget Japanese	米Amazon、プライム年会費を139ドルに値上げ	https://japanese.engadget.com/amazon-prime-price-up-043028307.html	amazon	2022-02-04 04:30:28
TECH	Engadget Japanese	Nintendo Switch、累計販売台数1億台を突破。発売から5年でWii超え	https://japanese.engadget.com/switch-100million-over-wii-041518476.html	nintendo	2022-02-04 04:15:18
TECH	Engadget Japanese	Google レンズが検索サイトでもテスト開始	https://japanese.engadget.com/google-search-lens-040009887.html	google	2022-02-04 04:00:09
ROBOT	ロボスタ	ピーマン自動収穫ロボットの普及に向けてAGRISTが鹿児島県東串良との包括連携協定　農業の高齢化や人口減少の対策に	https://robotstart.info/2022/02/04/higashikushira-green-pepper-robot.html	agrist	2022-02-04 04:35:15
IT	ITmedia 総合記事一覧	[ITmedia News] 家庭用ビデオカメラが終わりつつある件について、JVCムービーカム愛用者が語り合った	https://www.itmedia.co.jp/news/articles/2202/04/news084.html	itmedia	2022-02-04 13:23:00
IT	ITmedia 総合記事一覧	[ITmedia ビジネスオンライン] 神奈川県内で「娯楽・観光としておすすめの駅」ランキング　3位「横浜駅」、2位「鎌倉駅」、1位は？	https://www.itmedia.co.jp/business/articles/2202/04/news095.html	itmedia	2022-02-04 13:06:00
IT	ITmedia 総合記事一覧	[ITmedia PC USER] サードウェーブ、ゲーミングPC「GALLERIA」に Radeon RX 6500 XT搭載のエントリーモデル	https://www.itmedia.co.jp/pcuser/articles/2202/04/news103.html	galleria	2022-02-04 13:01:00
TECH	Techable（テッカブル）	スマホで豚の体重が測れる「PIGI」無料版リリース！ AI活用で勘と経験に頼らない養豚を	https://techable.jp/archives/172810	体調管理	2022-02-04 04:00:16
IT	情報システムリーダーのためのIT情報専門サイト IT Leaders	Sansan、クラウド請求書受領サービス「Bill One」に電子請求書の発行・送付機能を順次追加 | IT Leaders	https://it.impress.co.jp/articles/-/22673	作成した請求書をBillOneにアップロードし、電子データのまま取引先に送付できるようになる。	2022-02-04 13:06:00
python	Pythonタグが付けられた新着投稿 - Qiita	情報量の基本的な考え方	https://qiita.com/_kta/items/dfc7084bf1d5f652350f	Pkはできごとが起きる確率、tkは実際にできごとが起きたかどうかを表すとすると、Lの値は現実が確率で予測された通りであった場合に大きくなる。	2022-02-04 13:25:41
python	Pythonタグが付けられた新着投稿 - Qiita	Pythonでコメントのオンオフを簡単にスイッチする	https://qiita.com/yumehavtuber/items/01ff70a800a7520909be		2022-02-04 13:01:30
js	JavaScriptタグが付けられた新着投稿 - Qiita	JavaScript学習時によく出てくるワードのまとめ（メモ。随時追記）	https://qiita.com/ShigeShigeQiita/items/c1556a74b714207437d0	全ての型ではなく、基本的な型であることに注意。	2022-02-04 13:49:11
技術ブログ	Developers.IO	Alteryx 2021.4がリリースされました！アップデートまとめ	https://dev.classmethod.jp/articles/alteryx-2021-4-new-features/	alteryxtakesefficienciest	2022-02-04 04:23:53
技術ブログ	Developers.IO	アノテーション・アカウントチームにジョインしました岩瀬です	https://dev.classmethod.jp/articles/iwasemaya-joined-annotation/	固定電話	2022-02-04 04:06:25
海外TECH	DEV Community	FINALLY! Custom GitHub Actions in Internal Repos	https://dev.to/n3wt0n/finally-custom-github-actions-in-internal-repos-4l91	FINALLY Custom GitHub Actions in Internal ReposDo you want to protect your GitHub Actions so they are not public GitHub has finally released a new feature that allows sharing custom GitHub Actions privately only within an organization You don t need to have them in a public repo anymore Let s see how The ProblemAs you probably know until now when you created a custom GitHub Action you had to store them in a Public Repo to be able to use them This means that anybody on the internet could see your Actions and use or copy them And while this is not necessarily a problem and in fact promotes Open Source it is a limitation in the cases in which you or your company has some kind of IP in those Actions or simply want to keep them private to avoid security issues or other problems The SolutionAnd this is where the new feature comes into play less than a couple of week ago GitHub has made available the hosting of Actions in Internal repos And this means that your Action is effectively “Private since internal repos can be seen only by members of an organization There is actually a catch on this being private In GitHub docs there is this curious warning that says “If you make an internal repository in your enterprise accessible to GitHub Actions workflows in other repositories outside collaborators on the other repositories can indirectly access the internal repository even though they do not have direct access to the internal repository They also mention they can view the logs when the Action is used but first I would expect that to be the case if I use an Action I should be able to read the logs and second it is not clear if that is the only access they have or if there s anything else they can do as part of what they call “indirect access I ve tried this feature and I didn t seem to be able to access or see the internal repo with an account that didn t have access to the org but I think this is worth a deeper investigation With that said let s see quickly how to enable this VideoAs usual if you are a visual learner or simply prefer to watch and listen instead of reading here you have the video with the whole explanation and demo which to be fair is much more complete than this post Link to the video If you rather prefer reading well let s just continue Enable Actions in Internal ReposAlright first thing you have to do is making sure the repo you want to host your custom Action into is internal Just go to the repo Settings scroll down to the Danger Zone click “Change Visibility and select “Make internal If you don t see the Internal option but only Public and Private make sure the repository you are working on is part of an organization in the GitHub Enterprise CloudNext we need to enable the access to this repo from the GitHub Actions workflows that will reference our custom action To do this still in the Settings section of your repo find and expand the “Actions tab and click on “General Scroll down until you see the “Access section and here you can find the options the allow to access the repo from workflows in the same organization or even taking it a step forward enabling the sharing to the whole enterprise And that s basically it now you can reference the action stored in that repository from the repos in your organization or enterprise respectively Just use the usual syntax owner repo versionwhere owner is the name of the organization where the repo is hosted NotesQuick note the Actions you store in internal repositories can only be used by workflows defined in other private and internal repositories but cannot be used in workflows defined within any public repositories Also at the time of recording this video this feature is still in beta so things may change and it is only available for accounts in the GitHub Enterprise Cloud as I ve mentioned before ConclusionsLet me know in the comments below if you are happy that this feature is finally here Also check out this video where I talk about sharing entire workflows in GitHub Actions Like share and follow me for more content YouTube Buy me a coffeePatreonNewsletterCoderDave io WebsiteMerchFacebook page‍GitHubTwitterLinkedInPodcast	2022-02-04 04:23:48
海外TECH	DEV Community	Self-Taught Developer Journal, Day 53: TOP Building Rock Paper Scissors UI cont.	https://dev.to/jennifer_tieu/self-taught-developer-journal-day-53-top-building-rock-paper-scissors-ui-cont-4fkd	Self Taught Developer Journal Day TOP Building Rock Paper Scissors UI cont Today I m still working on the JavaScript code I began updating the elements in the UI for the selection score and result Remember that JavaScript does not alter your HTML but the DOM your HTML file will look the same but the JavaScript changes what the browser renders Tested computer and player selection output with the console Tested updating elements in the UI I want to ideally move location of the element in the center I might need to create another div Tested updating round result and score ResourcesThe Odin ProjectRevisiting Rock Paper Scissors	2022-02-04 04:13:54
海外TECH	DEV Community	Enterprise Data Governance Catalog | AWS White Paper Summary	https://dev.to/awsmenacommunity/enterprise-data-governancecatalog-aws-white-paper-summary-3236	Enterprise Data GovernanceCatalog AWS White Paper SummaryThis whitepaper outlines the benefits and strategies for implementing an enterprise wide unified Data Governance Platform to enable business users and stakeholder with the ability to find manage understand access and trust their data to make better data driven business decisions This whitepaper is for technical and business leaders who are responsible for managing data and analytics platform IntroductionBusiness and data users want the capability to analyze the data scattered across various data assets within their organizations Data assets are stored across various databases file systems servers located on premises and in the cloud including data warehouses data lakes and big data However many data assets are hidden deep inside data silos without much clarity into the datasets the classifications associated within the datasets and their business relationships Vast amounts of data are created captured and consumed by organizations which further increase the complexities of finding and understanding data assets Identifying relevant datasets profiling and combines the related data to get meaningful technical and business insights is tedious Organizations face numerous challenges to analyze data spread across various data assets within their organization to get business insights and drive business decisions related to growth adoption and investments This is a challenge due to the lack of a data first paradigm where data is the driver to make key business growth decisions within the organization There is a lack of understanding the business value of data as a product and technical design gaps are introduced while managing data Data Catalogs have evolved from a promising to essential framework which supports organizations data and analytics In Gartner declared Data Catalogs as “the new black in data management and analytics and now they are recognized as a central technology for data management According to International Data Corporation IDC four out of five of the organizations take advantage of data across multiple organizational processes However despite increases in innovation some studies show that workers waste of their time each week struggling with data due to a lack of collaboration knowledge gaps and organizational resistance to change This whitepaper outlines key considerations to build a Data Catalog and provides an approach to implement data governance through a Data Catalog using Amazon Web Services AWS Cloud technologies It showcases how a robust Data Catalog empowers data users to explore hidden data insights effectively while driving their organizations growth by making data driven business decisions This whitepaper also provides a high level approach to managing metadata the data providing information about one or more aspects of the data Metadata can be used to classify organize and access data assets to provide deep technical and business insights Business insights are essential for organizations to make better business decisions achieve operational efficiency and improve data understanding and data quality Data governanceData governance is the process of managing the availability usability integrity and security of the data in enterprise systems based on the internal data standards and policies that control data usage Effective data governance ensures that data is consistent and trustworthy The data governance process enables organizations to ensure that high quality data exists during the lifecycle of the data Data governance implements data access rules and policies to improve data security Data governance also manages the data lifecycle which is a sequence of stages that a particular unit of data goes through from its initial generation or capture to its eventual archival or deletion Traditionally organizations focused on management of the data scattered around various data assets to meet tactical goals with less emphasis on strategic business needs Now organizations are starting to recognize the benefits of well organized and well classified data to get a profound visibility on data as a strategic asset Data privacy compliances like the California Consumer Privacy Act CCPA and the General Data Protection Regulation GDPR require that the organizations put in place appropriate measures to protect and manage customer data because customers have the right to know if their personal data is being stored sold or disclosed The GDPR s primary aim is to give individuals control over their personal data and to simplify the regulatory environment for international business by unifying the regulation within the EU The CCPA states that a consumer should know if their data is being stored by an organization and consumers can request to delete their personal information Without a well defined data governance framework in place it is challenging for organizations to know all the places it stores customer information to comply with CCPA or other consumer privacy acts Violations may lead to legal implications and fines or penalties A well defined Data Catalog makes it easier to identify customer data distributed across various data assets as a Data Catalog tags data and builds relationships between data attributes enabling the organization to adhere to existing and future data regulatory compliances An organization s multiple business units collect customer communication channel preferences by email phone call or text message The Data Catalog collects metadata associated with all the data stores which handle customer communication preferences Using the Data Catalog the organization s business units can combine all the different rules for customer communication and interact effectively with customers elevating satisfaction and trust Data governance catalogRealizing the benefits of managing data assets to get deep business and technical insights organizations are looking for a framework to implement data governance A data governance catalog revolves around metadata Primarily metadata is categorized as technical and business •Technical metadata is information such as author date created date last modified source and size of a dataset •Business metadata further enriches technical metadata by adding additional details for data classification structure data taxonomy retention period and other details for a dataset Data and business have become inseparable Absence of data driven decision making limits an organization s ability to use their data to its best potential This results in business decisions being made around growth investments and other verticals based on assumptions and personal preferences rather than real data statistics Business decisions such as how an organization ships goods interacts with customers or sends product offerings backed by data empower organizations to run business efficiently A data first approach is essential for a data governance catalog s success Data stewardship is an important step in aligning data and business processes together Data stewards are product managers data subject matter experts SMEs and business owners along with data architects and analysts They are responsible for interpreting collected metadata to derive deep business insights and promoting a culture of data driven business decision across the organization A Data Catalog aligns people processes and technology helping data users understand and transform data into a business asset It delivers good visibility into datasets allowing organizations to comply with global data privacy laws A Data Catalog allows an organization to identify data owners and improve data quality regulatory compliance and data usage It enables organizations to orchestrate workflows to incorporate changes to the metadata Data ownership ensures that someone in the organization is responsible for the data origin definition business attributes relationships and dependencies There are various owners for different business units such as marketing supply chain and finance Business unit collaboration improves business actions such as launching products on time and on budget interactions with consumers and making new sales and distribution channels easy to build For example with improved collaboration a marketing business unit can consolidate the customer data in the organization and create new marketing campaigns effectively targeting the right audience The following diagram depicts how a data governance catalog can create a relationship between various business and non business assets across an organization to drive business growth Business relationships between organization assetsThe Data Catalog creates mature data governance processes and adds value to the organization across several dimensions including data driven business decisions The Data Catalog provides measures and metrics around datasets to guide strategic business decisions that align with the organization s objectives and initiatives In organizations where a Data Catalog is not implemented data is often left fragmented and siloed across numerous sources such as legacy systems data warehouses flat files stored on individual desktops and modern cloud based repositories Business stakeholders data analysts and other users spend too much time trying to discover data due to a lack of easy access and fragmented data environments A Data Catalog helps implement data classification encryption data masking and access protection to manage an organization s data securely Data classification enables data stewards to set up guidelines around the storage and access of classified data such as customers Social Security Numbers SSNs SSNs are classified as sensitive data and handled accordingly by the data processing and consumption pipelines The preceding diagram shows business relationships between organization assets enabling business users to understand their data s origins and where it travels over time without having to understand the underlying technical complexity It identifies business data security and technology assets relationships and is implemented and managed within the Data Catalog Data Catalog benefits for business stakeholdersAccording to International Data Corporation IDC organizations are suffering from inefficiencies and ineffectiveness as they turn to data as the lifeblood of their digital transformation and the workforce is struggling Business metadata such as metadata on ontology which is a way of showing the properties of a subject area and how they are related by defining a set of concepts and categories that represent the subject for rapidly growing and diverse data A combination of business and technical metadata provides a unified view of data assets and reduces the effort of searching for the correct data A Data Catalog enables business units to discover and access data securely using data classification and policy management It helps organizations identify new opportunities for problem solving innovation and revenue growth using business lineage and reports which are generated on the data asset relationships by data stewards Data Catalogs help customers make connections that weren t possible before and drive their business growth while making informed business decisions With robust metadata as the foundation of the Data Catalog the following diagram illustrates the core features and functions supported Data classification labels related datasets to business domains subject areas and data facets helping data users understand their datasets better Data policy management outlines how data processing and management is carried out to ensure an organization s data is accurate accessible consistent and protected The policy establishes who is responsible for information under various circumstances and specifies what procedures should be used to manage it It incorporates risk management to identify assess and control threats to an organization s capital and earnings It also introduces data ethics principles to reduce potential business problems from the use of data Data policy management includes data access management and data retention Business lineage highlights the transformation and aggregation of data needed by a business user Without this capability business units cannot identify impacted systems and business processes changes Reporting allows visualization and dashboarding capabilities around various data assets This reporting capability provides metrics around data volume growth data classifications relationships and more These capabilities make it easier for stakeholders to get an absolute view of their business data so they can take appropriate business actions Data Catalog core features and supported functions Data Catalog benefits for technical stakeholdersAccording to Eckerson Group one of the leading data analytics consulting and research group data cataloging accelerates analysis by minimizing the time and effort that analysts spend finding and preparing data Anecdotally of self service analysis without a Data Catalog is spent getting data ready for analysis Using the Data Catalog cuts that percentage from to A well managed Data Catalog helps technical teams get more business context on technical and operational aspects of data using a business glossary It enables technical teams to perform data discovery and analysis efficiently while building data pipelines for the swift launch of data driven applications to drive business growth It provides lineage around the data journey from origin to consumption A Data Catalog provides native and comprehensive data governance capabilities that ensure trust in the data and proper and compliant use of data across the enterprise Without the preceding capabilities it is hard for technical stakeholders to access updated versions of data and manage the data This can impact the business user s ability to do data impact analysis Using technical lineage a Data Catalog enables a business units technical support team to analyze downstream system impacts swiftly System impacts are caused by a change in a source system feed a change in attribute type or length Technical lineage depicts the state of data from origin to consumption It is a time consuming exercise to manually identify the business impact due to change in the application or data assets A data dictionary and business glossary establish a standard business definition and arrange it consistently across the datasets With robust metadata as the core of the Data Catalog many other features and functions are available for an organization s technical stakeholders as seen in the following diagram Data Catalog features and functionsThe business glossary establishes standard business definitions to enable a common understanding of data across the organization A business glossary ensures organizations speak the same language by clearing up ambiguity in business terminology The data dictionary is a collection of the names definitions and attributes for data elements The data dictionary defines conventions for the project and consistency throughout the dataset Without a data dictionary there s a higher risk of losing crucial information in translation and transition of data Using a data dictionary helps data users analyze the datasets with ease later on Technical lineage shows how data transforms and flows as it moves from system to system providing additional understanding and trust in data It empowers users to understand how data was acquired and how it may have been transformed to establish dependence in the reporting results or insights generated Granular security controls are role based asset level permissions and access controls for secure enterprise wide deployment With a Data Catalog in place it s easier to enable the preceding security controls Any organization that efficiently secures its data builds confidence among internal and external customers driving business growth Key considerations while building a Data CatalogThis whitepaper discussed the challenges which organizations are facing what data governance brings and how the data governance framework Data Catalog can help The next step is implementing the Data Catalog Following are key considerations which an organization should weigh before starting their journey to build a Data Catalog Choose a team with domain knowledge and Data Catalog skillsetsA team building a Data Catalog must be a balanced mix of technical and business experts The team should have a background with data integration which is the practice of consolidating data from disparate sources into a single dataset with the goal of providing users with consistent access and delivery of data across all subjects and structure types This is an essential skill because a team with domain knowledge and Data Catalog skills can reduce the overall completion time to onboard and maintain a Data Catalog Tools technology and an approach to build the Data CatalogThere are various tools and approaches to build the Data Catalog You can start with either a custom build approach where you choose your own tool sets or you can use third party tools Both have their advantages and drawbacks With a custom build Data Catalog the overall tool and licensing cost is lower but additional labor is required to acquire ingest and present the Data Catalog to users Having third party tools can shorten the metadata acquisition processing and presentation time because it provides out of the box capabilities to achieve these tasks However the overall tool and licensing cost is higher Implementation reference architecture diagramsThe following are two reference architecture diagrams to help with the design and build phases of implementing a Data Catalog Reference architecture diagram illustrates how an organization can build a Data Catalog without the use of third party data cataloging tools instead collecting technical metadata and enriching it using business metadata with help from a team of data stewards Reference architecture diagram illustrates how an organization can use third party tools like Collibra to collect technical metadata and enrich technical metadata using business metadata with help from a team of data stewards More Details about Implementing Reference Architectures can be found here A Data Catalog ensures that data is well managed because data are the building blocks to establish a strong data culture Data comes in many shapes sizes and formats and each must be captured and depicted in its native format A Data Catalog captures and depicts data by classifying the data Implementation of a Data Catalog enables an organization to know datasets origins and how data transforms as it flows across different applications reducing data analysis time ConclusionA Data Catalog benefits an organization by bringing in visibility around the siloed datasets hidden deep within various data stores such as data lakes data warehouses and data marts It helps classify the data assets and make them searchable evaluable and useful to help enterprises make informed business decisions This whitepaper highlights how a Data Catalog framework combines data and technology together and provides meaningful data insights to stakeholders enabling them to manage data assets and the security around them effectively There are different data protection acts adopted by various countries to put legislations in place regarding data security and privacy protection This whitepaper describes how a Data Catalog enables organization to adhere to data protection regulations such as GDPR and CCPA The reference architecture diagrams showcase multiple approaches to implement a Data Catalog using custom in house toolsets utilizing third party data governance and Data Catalog toolsets ReferenceOriginal paper	2022-02-04 04:10:51
金融	ニュース - 保険市場TIMES	「保険市場 梅田阪急コンサルティングプラザ」が増床リニューアルオープン！	https://www.hokende.com/news/blog/entry/2022/02/04/134500	「保険市場梅田阪急コンサルティングプラザ」が増床リニューアルオープン階を新たに増床国内最大級の保険選びサイト「保険市場」を運営するアドバンスクリエイトは月日、「保険市場梅田阪急コンサルティングプラザ」を増床し、リニューアルオープンした。	2022-02-04 13:45:00
ニュース	ジェトロ ビジネスニュース（通商弘報）	南ア政府が第4波脱却を発表、無症状者の隔離を不要に	https://www.jetro.go.jp/biznews/2022/02/70d2d347b1e7af81.html	隔離	2022-02-04 04:05:00
海外ニュース	Japan Times latest articles	U.S. exposes what it says is Russian effort to fabricate pretext for invasion	https://www.japantimes.co.jp/news/2022/02/04/world/us-russia-invasion-pretext/	U S exposes what it says is Russian effort to fabricate pretext for invasionThe plan involves staging and filming a fabricated attack by the Ukrainian military either on Russian territory or against Russian speaking people in eastern Ukraine	2022-02-04 13:32:05
ニュース	BBC News - Home	Southend West by-election: Anna Firth wins seat for Tories	https://www.bbc.co.uk/news/uk-england-essex-60254176?at_medium=RSS&at_campaign=KARANGA	amess	2022-02-04 04:38:47
ニュース	BBC News - Home	Ukraine tensions: US alleges Russian plot to fake invasion pretext	https://www.bbc.co.uk/news/world-europe-60248259?at_medium=RSS&at_campaign=KARANGA	ukraine	2022-02-04 04:40:23
ニュース	BBC News - Home	Facebook owner Meta sees biggest ever stock market loss	https://www.bbc.co.uk/news/business-60255088?at_medium=RSS&at_campaign=KARANGA	fortune	2022-02-04 04:21:53
ビジネス	ダイヤモンド・オンライン - 新着記事	スポティファイ、ローガン氏も音楽ファンも必要 - WSJ発	https://diamond.jp/articles/-/295438	音楽ファン	2022-02-04 13:21:00
GCP	Google Cloud Platform Japan 公式ブログ	App Engine Standard の Java ランタイムのオープンソース化	https://cloud.google.com/blog/ja/topics/developers-practitioners/open-sourcing-app-engine-standard-java-runtime/	たとえば、リモートAPIを使用して、ローカルマシンで実行しているアプリから本番環境のDatastoreにアクセスできます。	2022-02-04 06:00:00
GCP	Google Cloud Platform Japan 公式ブログ	Cloud Bigtable が自動スケーリング、およびコスト最適化と管理性向上のための新機能をリリース	https://cloud.google.com/blog/ja/products/databases/cloud-bigtable-now-even-easier-to-manage-with-autoscaling/	より詳細な使用率の指標により、オブザーバビリティが向上し、トラブルシューティングとワークロード管理が高速化します。	2022-02-04 05:00:00
北海道	北海道新聞	米大統領、銃犯罪対策強化に意欲　ＮＹ訪問、「弱腰」に対抗	https://www.hokkaido-np.co.jp/article/641693/	米大統領	2022-02-04 13:20:09
北海道	北海道新聞	厚労相「慎重な検討必要」　６カ月未満での３回目接種	https://www.hokkaido-np.co.jp/article/641791/	新型コロナウイルス	2022-02-04 13:11:00
北海道	北海道新聞	ヤクルト鈴木、マクガフら陽性　濃厚接触疑い関係者、自主隔離	https://www.hokkaido-np.co.jp/article/641790/	鈴木裕太	2022-02-04 13:09:00
北海道	北海道新聞	高齢施設の車が転落、４人けが　「ギア間違えた」、横浜	https://www.hokkaido-np.co.jp/article/641789/	特別養護老人ホーム	2022-02-04 13:08:00
IT	週刊アスキー	『ウマ娘 プリティーダービー』2月8日よりレジェンドレース（マイル）が開催決定	https://weekly.ascii.jp/elem/000/004/082/4082572/	legend	2022-02-04 13:50:00
IT	週刊アスキー	スポーツ用品がお得に買える！　「三井アウトレットパーク 横浜ベイサイド Sports Festival！」開催	https://weekly.ascii.jp/elem/000/004/082/4082568/	sportsfestival	2022-02-04 13:20:00
GCP	Cloud Blog JA	App Engine Standard の Java ランタイムのオープンソース化	https://cloud.google.com/blog/ja/topics/developers-practitioners/open-sourcing-app-engine-standard-java-runtime/	たとえば、リモートAPIを使用して、ローカルマシンで実行しているアプリから本番環境のDatastoreにアクセスできます。	2022-02-04 06:00:00
GCP	Cloud Blog JA	Cloud Bigtable が自動スケーリング、およびコスト最適化と管理性向上のための新機能をリリース	https://cloud.google.com/blog/ja/products/databases/cloud-bigtable-now-even-easier-to-manage-with-autoscaling/	より詳細な使用率の指標により、オブザーバビリティが向上し、トラブルシューティングとワークロード管理が高速化します。	2022-02-04 05:00:00