投稿時間:2022-10-14 16:37:46 RSSフィード2022-10-14 16:00 分まとめ(37件)

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IT	ITmedia 総合記事一覧	[ITmedia News] 節電の時間になるとエアコンが自動停止　東京ガスの実証実験	https://www.itmedia.co.jp/news/articles/2210/14/news159.html	実証実験	2022-10-14 15:46:00
IT	ITmedia 総合記事一覧	[ITmedia News] 東工大と医科歯科大が統合へ　24年度までに　新大学の名称は未定	https://www.itmedia.co.jp/news/articles/2210/14/news157.html	itmedia	2022-10-14 15:42:00
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	スリーシェイク、クラウドETL「Reckoner」を強化、データの暗号化や列結合が可能に | IT Leaders	https://it.impress.co.jp/articles/-/23907	スリーシェイク、クラウドETL「Reckoner」を強化、データの暗号化や列結合が可能にITLeadersスリーシェイクは年月日、クラウドETLツール「Reckoner」を強化したと発表した。	2022-10-14 15:08:00
AWS	lambdaタグが付けられた新着投稿 - Qiita	CloudFormationでAuroraとLambdaを構築。LambdaでLOAD DATA FROM S3コマンドを実行しS3のCSVファイルをAuroraにインポートする。	https://qiita.com/kanamekun/items/53da2f73bcc2e5d68dc2	aurora	2022-10-14 15:39:16
python	Pythonタグが付けられた新着投稿 - Qiita	BERTopic TypeError: init() got an unexpected keyword argument 'cache_dir'	https://qiita.com/1024yoshida/items/17e9c1742458a5b97d06	bertopic	2022-10-14 15:43:42
js	JavaScriptタグが付けられた新着投稿 - Qiita	Phoenix LiveView の JavaScript Hook	https://qiita.com/sand/items/66049160bf5309e272ea	chartjs	2022-10-14 15:41:27
AWS	AWSタグが付けられた新着投稿 - Qiita	CloudFormationでAuroraとLambdaを構築。LambdaでLOAD DATA FROM S3コマンドを実行しS3のCSVファイルをAuroraにインポートする。	https://qiita.com/kanamekun/items/53da2f73bcc2e5d68dc2	aurora	2022-10-14 15:39:16
golang	Goタグが付けられた新着投稿 - Qiita	【Go】スライスからi番目の要素を削除する	https://qiita.com/sho992588/items/75f2b7961e0d0841c14b	packagemainimpo	2022-10-14 15:37:37
GCP	gcpタグが付けられた新着投稿 - Qiita	SNSをAI(Natural language API)使って分析してみた～データを分析する～	https://qiita.com/keito-ariji/items/766026bc3824b9b93e39	naturallanguageap	2022-10-14 15:23:09
GCP	gcpタグが付けられた新着投稿 - Qiita	SNSをAI(Natural language API)使って分析してみた～BigQueryにアップする～	https://qiita.com/keito-ariji/items/4addd2a488e9e3deedf3	ainaturallanguageapi	2022-10-14 15:22:57
技術ブログ	Developers.IO	DataSync は差分転送に対応しているか教えてください	https://dev.classmethod.jp/articles/tsnote-aws-datasync-difference-transfer/	datasync	2022-10-14 06:25:46
海外TECH	DEV Community	Vaultree and AlloyDB: the world's first Fully Homomorphic and Searchable Cloud Encryption Solution	https://dev.to/vaultree/vaultree-and-alloydb-the-worlds-first-fully-homomorphic-and-searchable-cloud-encryption-solution-26kj	Vaultree and AlloyDB the world x s first Fully Homomorphic and Searchable Cloud Encryption Solution What is AlloyDB AlloyDB is a fully managed PostgreSQL compatible database service that Google claims to be twice as fast for transactional workload compared to AWS Aurora PostgreSQL If you ve worked with Google Cloud already you probably had some contact with CloudSQL for PostgreSQL and Spanner which offers a PostgreSQL interface So what s actually new about this AlloyDB AlloyDB at the core is the standard PostgreSQL with changes in the kernel to leverage Google Cloud infrastructure at full by disaggregating compute and storage at every layer of the stack What does it mean This architecture allows the storage layer to be better equipped to handle changing workloads more elastic and distributed fault tolerant and highly available Figure Evolution of disaggregation of compute and storageImage Credit GoogleAlloyDB brings an Intelligent Database Storage Engine that basically helps offload many housekeeping operations using the Log Processing System LPS to the storage layer This further increases the throughput for primary instances as they can now focus only on the queries rather than the maintenance operations It also enables smart caching actively updating cache based on the most frequent database queries Overall ArchitectureAlloyDB is branched into Database layer and Storage layer So the database layer is used to be compatible with PostgreSQL protocol parsing SQL statements and converting them into read write requests to address to the storage layer When it comes to the storage layer it can be subdivided into three layers Log storage layer The DB layer converts writes into operation logs or WALs and writes them to the storage layer It is responsible for effective writing and storage of these log records LPS Layer The Log Processing Service LPS layer absorbs the WALs from the log storage layer and generates blocks which is a Materialised process Block Storage Layer The block layer corresponding to standalone PostgreSQL used to serve queries providing parallelism through sharding and fault tolerance between zones through replication I will make it more clear with the following image Figure Overview of PostgreSQL as integrated with the storage service Image Credit GoogleThat is AlloyDB splits its storage layer into two storage layers and one compute layer to disentangle the complexity of them log storage layer which takes over the write requests from the database layer But it only supports append writes so it can achieve low latency and high availability and can use LSN to do read write concurrency control and distributed transactions The block storage layer takes over the query requests from the database layer Although not mentioned in the text it blindly guesses that the block provided only supports single write multiple reads write once then becomes immutable in order to facilitate version control and caching The LPS layer the data mover between the two sub storage layers is responsible for both block generation and reading stateless and scalable Instances can be dynamically added or deleted to keep track of changing load based on various signals such as load and statistical information The storage layer is essentially to provide block read and write services AlloyDB split out the log storage layer for writing and the block storage layer for reading Materialising the storage tier based on log services is a classic architecture in the field of distributed databases but how to combine them efficiently is still a test of engineering abilities Another great aspect of the log service based materialisation is that the same data can be materialised in different ways to support different workloads such as materialising data on demand into data formats optimised for TP and AP i e supporting HTAP Read and Write FlowA write request a SQL insert for example initiated by the client to the primary instance is parsed by the database layer and sent to the storage layer as a set of WAL Records After a successful WAL synchronous write the transaction commit is successfully returned After that LPS materialises the logs asynchronously as Blocks Figure Processing of a write operation in AlloyDBImage Credit GoogleThe article found on Google s AlloyDB official page did not expand on this but how to segment and fault tolerant the logs how to deploy them in multiple locations and how to manage the log lifecycle are also critical design points A read request a SQL query for instance initiated by the client to any instance is parsed at the database layer and returned directly if it hits the cache in that database layer if there is not enough data cache for the request it can go to a larger second level cache like Ultra fast Cache to retrieve it and if it hits it can still not access the storage layer If the Ultra fast Cache is still missing the required block a block read request is sent to the storage layer with block id and LSN Block id is used to retrieve the block LSN is used to wait for LPS to apply progress to ensure consistency in the visualisation Figure Processing of a read operation in AlloyDBImage Credit GoogleIn the storage layer LPS s are responsible for block reads and writes and each LPS maintains a Buffer Cache which is an interesting term Buffer which is generally used when writing to improve write throughput by combining multiple writes into only one block Cache generally used for reads bridges the access speeds of different media to decrease latency Here the two are combined into one LPS first writes to its own Buffer Cache during log replay at which time the Buffer Cache acts as a buffer to be flushed to the block storage in bulk LPS receives a Buffer Cache before it flushes the Buffer Cache to the block storage if it receives a block read request and hits the Buffer Cache before it flushes the Buffer Cache to the block storage it can return directly and then the Buffer Cache acts as the cache Of course LPS needs to keep a data structure like a dirty table for Buffer Cache to track the life cycle of each block and the expiration time of the next swipe Resilient ScalingTo handle varying loads the number of LPS instances is designed to be scalable that is to adjust the mapping relationship between the LPS and the block shard Before explaining further how to scale let s clarify the concept of block shard and LPS instances and the relationship A set of blocks is assembled into a shard and a shard is handled by at most one LPS instance but an LPS instance can handle multiple shards at the same time By analogy with a restaurant a block can be understood as a guest a shard as a table and an LPS instance as a waiter When the load is low only one waiter is needed to serve all the guests at the restaurant tables When the load is too high even one waiter can be assigned to each table This dynamic setting can be fully automated without user awareness or intervention And since LPS is stateless Buffer Cache doesn t count as state think why it can scale quickly Figure Dynamic mapping of shards to LPS instances allows for load balancing and LPS elasticityImage Credit Google ZonesTo tolerate zone failures AlloyDB places multiple copies of each block slice in different zones Figure The fully replicated fully sharded multi zone database stateImage Credit GoogleIn the official Google article it reads The goal of AlloyDB is to provide data durability and high system availability even in case of zonal failures e g in case of a power outage or a fire in a data centre To this end the storage layer of every AlloyDB instance is distributed across three zones Each zone has a complete copy of the database state which is continuously updated by applying WAL records from the low latency regional log storage system discussed above There are two concepts mentioned in the official AlloyDB announcement region and zone region refers to physical region and zone refers to logical region When a zone fails a new zone is pulled in the same region and the data is recovered First use a snapshot of another copy to recover Then play back the WAL after that snapshot Under normal situations each zone can be serviced independently and there is no specific amount of traffic between zones Furthermore AlloyDB also supports logical manual and automatic backups e g a database to prevent users from accidentally deleting data Final Thoughts on AlloyDBThis is a welcome addition to Google Cloud s database offering and could be an excellent offering to enable companies to confidently move their legacy Oracle databases to GCP somewhere in the future In my opinion Google has built some fantastic database services like Bigtable and Spanner which literally changed the industry for good and I am eager to see how they will build upon this new service With AlloyDB s disaggregated architecture the dystopian world where I only pay for SQL databases per query and the stored data on GCP seems closer than ever Vaultree AlloyDBCongratulations to whoever made it this far in this article because the best part starts now The question you may have where does Vaultree enter the AlloyDB story Vaultree s Data in Use Encryption is now available for Google s AlloyDB We know how fast and performant AlloyDB can be however we at Vaultree are also concerned about the security of your data in AlloyDB Some of you might think that Fully Homomorphic Encryption was not possible in the cloud right Well I bring you good news with great joy Vaultree has done it Via this brilliant partnership with Google s AlloyDB we hope to achieve a new stage in data security through Processing encrypted data and never decrypt no matter if simple search broad analysis or complex computationKeeping it simple and transparent with zero friction to the environment staff and processes where Vaultree is installedPower up using Vaultree encryption technology with performance comparable to processing unencrypted data How It WorksVaultree s solution consists of two components one installed on the database the other on the application Applications architecture and database s remain unchanged aside from insertion of the Vaultree components Choose what to encryptEncrypt only what you want PII or what you deem sensitive info stay leanNo server side decryptionQuery amp Compute always encrypted data and choose where it is decrypted nobody will ever see your dataManage your own keysMaintain full control of your keys via your preferred KMSMinimal performance lossProcess your fully encrypted data with comparable performance to that of processing unencrypted dataZero learning and changesNo change to the existing query languages and syntax rely only on standard SQLZero overhead implementationNo change to the data structure architecture network topology or policies permissions An Encrypted TomorrowVaultree s unprecedented development and innovation are geared towards meeting customers data protection needs and legal requirements with unparalleled performance and simplicity “The only way forward is always encrypted To date missing usability and performance has limited the adoption of encryption in use solutions but Vaultree made it possible and took one step further Taking it into Google Cloud Tilo Weigandt Co Founder amp COO AlloyDB combines the best of Google with one of the most popular open source database engines PostgreSQL for superior performance scale and availability With this preview Vaultree is enabling Google s AlloyDB customers to preview a reliable fast and seamless integration of the most advanced encryption product on the market Check it out yourself About VaultreeVaultree s Encryption in use enables businesses of all sizes to process search and compute fully end to end encrypted data without the need to decrypt Easy to use and integrate Vaultree delivers peak performance without compromising security neutralizing the weak spots of traditional encryption or other Privacy Enhancing Technology PET based solutions Follow Vaultree on Twitter Vaultree LinkedIn Reddit r Vaultree or dev to Visit www vaultree com sign up for a product demo and our newsletter to stay up to date on product development and company news	2022-10-14 06:39:13
海外TECH	DEV Community	2 Weeks of Hacktoberfest, How is it going??	https://dev.to/zigrazor/2-weeks-of-hacktoberfest-how-is-it-going-4ilk	Weeks of Hacktoberfest How is it going Hi friends I completed my Hacktoberfest Mission with Pull Request accepted and pendings just for a bunch of hours And you How is it going comment to tell me yours I would remind you that I m partecipating at Hacktoberfest mainly as a maintainer My main project that partecipates for the second year to the Hacktoberfest is the CXXGraph Header Only C library for Graph Representation and Algorithms with a simple interface ZigRazor CXXGraph Header Only C Library for Graph Representation and Algorithms CXXGraph Share on IntroductionCXXGraph is a small library header only that manages the Graph and it s algorithms in C In other words a Comprehensive C Graph Library An alternative to Boost Graph Library BGL Hacktoberfest kHi Developers we are participating in Hacktoberfest We are Looking for We are looking for Site Developer for the development of the CXXGraph site for the moment on GitHub Page Developers and Committers also at first experience we will guide you step by step to the open source world If you are interested please contact us at zigrazor gmail com or contribute to this project We are waiting for you RoadmapCompletedDescriptionDate of Completition️First OptimizationApr ️Add Benchmark for all algorithmsOct ️Code OptimizationOct ️Release Oct Const Code Review TBD… View on GitHubThen I have some side projects someone that partecipate to the Hacktoberfest for the first time The projects are in C and Python but you can contribute also with documentation Pull Request or other things that gives values to the projects The project are the followings A C Library that give microservice framework Server Client upon mq framework ZigRazor CXXMicroService A C Library that give microservice framework Server Client upon mq framework CXXMicroServiceA C Library that give microservice framework Server Client IntroductionCXXMicroService is a C library that manages MicroServices upon different Framework actually only mq is implemented We are Looking for We are looking for Site Developer for the development of the CXXMicroService site for the moment on GitHub Page Developers and Committers also at first experience we will guide you step by step to the open source world If you are interested please contact us at zigrazor gmail com or contribute to this project We are waiting for you RoadmapCompletedDescriptionDate of Completition️First CommitMay ️Introduce the basic FrameworkMay Introduction of more complete ExamplesTBDIntroduction of OrchestratorTBDIntroduction of Unit Test FrameworkTBD️Introduction of basic CI CDJun Advanced CI CDTBDFirst Beta Release… View on GitHubA Python implementation of simply configurable State Machines ZigRazor PyStateMachine Python State Machine PyStateMachine Python State MachineIntroductionPyStateMachine is a Framework that support state machines in PythonRequirementsPythonHow to RunWork in ProgessExampleWork in ProgessTest SuiteWork in ProgressHow to contribute Read the CONTRIBUTING GUIDEHacktoberfestWe are pleased to inform you that this repository is participating in the Hacktoberfest Happy Coding ContactE Mail zigrazor gmail comGitHub Profile SupportTo support me just add Star the project or follow me To get updated watch the project Project Info View on GitHubA library in C to manage multi threading and parallel applications ZigRazor MTL Multi Thread Library MTL Multi Threading Library Multi Threading Library is a set of utilities easy and ready to use for common task in multi threading environment and development Roadmap Thread Class Thread Manager Thread Pool Task Class Ordered Task Task Flow Complete Documentation Doxygen Integration First Beta Release Test Framework CI CD Pipeline First Stable Release Thread Monitoring See the open issues for a full list of proposed features and known issues Getting StartedThis is an example of how you may give instructions on setting up your project locallyTo get a local copy up and running follow these simple example steps PrerequisitesThe following are required to get the project up and running Google TestGoogleTestgit clone Dowload the Google Test repositorycd googletest Main directory of the cloned repository mkdir p build Create a directory to hold the build output cd build Move… View on GitHubA C Library to which implements the structures and algorithms for finite automata pushdown automata and Turing machines ZigRazor CXXAutomata A C library for simulating automata and Turing machines CXXAutomataA C library for simulating automata and Turing machinesRequired Graphviz sudo apt get install graphviz Required GoogleTest sudo apt install libgtest dev build essential cmakecd usr src googletestsudo cmake sudo cmake build target install Inspired by automata lib View on GitHubYou can visit the issues pages of each projects to see the open issues and you can ask me all you need to understand the project goal the issue problem or anything you need to contribute In the next days I will open some other issues on the projects that can be important to improve the projects and give the possibility to get involved also to the novice of the Open Source For any info you can contact me at zigrazor gmail comIf you want open an issue on the projects feel free to do it All contributiuons are appreciated Happy Coding and Happy Hacktoberfest	2022-10-14 06:23:47
海外TECH	DEV Community	I need your Feedback!	https://dev.to/sylvainkerkour/i-need-your-feedback-55i9	I need your Feedback I want to hear your feedback about the topic of the next guide on kerkour com Hacking Programming Other You can tell me with this form Thank you	2022-10-14 06:17:57
海外TECH	DEV Community	Introduction to Amazon Lightsail	https://dev.to/makendrang/introduction-to-amazon-lightsail-1d48	Introduction to Amazon Lightsail IntroductionAmazon Lightsail is an easy to use cloud platform that provides everything you need to build an app or website with an affordable monthly fee Lightsail Containers announced at re Invent aims to make it easy for you to build container based apps and websites To deploy containers in Lightsail you create a container service that only specifies a few parameters its performance and its scope AWS manages the compute network and traffic management for you You can deploy up to ten containers in a container service and one of them can be chosen as the public endpoint Lightsail provides a secure load balanced HTTPS endpoint to access the public endpoint You can create a website or app with just a few clicks Automatically configure your network access and security environment Easily scale as you grow or migrate resources to the broader AWS ecosystem such as Amazon EC Enjoy the security and reliability of the world s largest cloud platform Amazon Lightsail offers easy to use virtual private server VPS instances containers storage databases and more for one low monthly price Use cases of Amazon LightsailIt uses preconfigured development stacks such as LAMP Nginx MEAN and Node js Create and customize your blog e commerce or personal website in just a few clicks using pre configured applications like WordPress Magento Prestashop and Joomla Run business software such as File storage and sharing backup finance and accounting software and more In this article you will see how to test Lightsail containers by deploying a web server container Creating a Lightsail Container ServiceThe Lightsail console allows you to manage all the resources provided by Lightsail including instances containers and databases The AWS Command Line Interface CLI Software Development Kit SDK and REST API can also be used to manage Lightsail resources but the console provides the best integration experience Amazon Lightsail Container Service is a highly scalable fully managed compute and network resource for container deployments The lightsail container service architecture diagram looks like this Image SourceWhen you create a container service in addition to the target zone and availability zone you must configure the following PowerCorresponds to the amount of CPU and memory of the container service Available capacities areNano Na Micro Mi Small Sm Medium Md Large Lg Xlarge Xl ScaleThe number of nodes on which to calculate the deployment workload Each node has a copy of the container and requests are distributed to all nodes Container services can use container images available in public container registries such as Docker Hub or images sent to the container service from your local machine Kindly watch the below video on how to create a Lightsail Container Service Deploying Containers to Lightsail Container ServiceThe Lightsail container service can use a public container registry or container image on your local machine To deploy a container in a container service you must define a deployment An implementation can have up to containers in its specification and a container can be designated as public via the container service scope The selected container is called the public deployment endpoint You can also specify general container settings including ports and environment variables The container service may have used one implementation at a time called the current implementation Kindly watch the below video on how to deploy Containers to Lightsail Container Service Monitoring the Lightsail Container Service DeploymentThe Lightsail console includes tools for viewing deployment logs and statistics These devices help diagnose problems and measure the functionality of containers Kindly watch the below video on how to deploy Containers to Lightsail Container Service ConclusionTo Summarize You can use Amazon Lightsail if you are running the test environment creating applications for small businesses create a custom website and running a simple web application Get started with LightsailGratitude for perusing my article till the end I hope you realized something unique today If you enjoyed this article then please share it with your buddies and if you have suggestions or thoughts to share with me then please write in the comment box Follow me and share your thoughts GitHubLinkedInTwitterThe above blog is submitted under Devtron Hacktoberfest conducted by Devtron Check out their Github repo and give it a star ️if you like it Follow Devtron on LinkedIn Twitter	2022-10-14 06:08:28
医療系	医療介護 CBnews	医療費適正化計画に高齢者保健事業・介護予防を-厚労省が医療保険部会に論点提示	https://www.cbnews.jp/news/entry/20221014152845	介護予防	2022-10-14 15:55:00
医療系	医療介護 CBnews	紙レセプトの医療機関向けに簡易システム-マイナ保険証見据え、加藤厚労相	https://www.cbnews.jp/news/entry/20221014145427	健康保険証	2022-10-14 15:40:00
医療系	医療介護 CBnews	インフル患者報告68人、コロナ流行前の1.4％-厚労省が発生状況公表、3－9日の1週間	https://www.cbnews.jp/news/entry/20221014144034	医療機関	2022-10-14 15:30:00
金融	JPX マーケットニュース	[OSE]有価証券オプションの取扱い：ケネディクス・オフィス投資法人投資証券	https://www.jpx.co.jp/news/2020/20221014-02.html	投資証券	2022-10-14 16:00:00
金融	JPX マーケットニュース	[OSE]特別清算数値（2022年10月限）：日経225、TOPIX等	https://www.jpx.co.jp/markets/derivatives/special-quotation/index.html	topix	2022-10-14 15:15:00
金融	ニッセイ基礎研究所	データからナラティブへ－非財務情報の開示のあり方を巡って	https://www.nli-research.co.jp/topics_detail1/id=72628?site=nli	「アメリカは株主資本主義で売り手によしだけ考えていたが、ようやく買い手によしや世間に良しも考えるようになった」という受け止め方だ。	2022-10-14 15:42:50
海外ニュース	Japan Times latest articles	Japan keeps up yen warnings but declines to say if it intervened	https://www.japantimes.co.jp/news/2022/10/14/business/yen-dollar-whiplash-moves/	august	2022-10-14 15:09:11
海外ニュース	Japan Times latest articles	New boy Ihaia West helps Toulon ‘get jump on’ La Rochelle	https://www.japantimes.co.jp/sports/2022/10/14/rugby/toulon-rugby-la-rochelle/	New boy Ihaia West helps Toulon get jump on La RochelleEx All Blacks playmaker West won the European Champions Cup and was a Top runner up before switching the Atlantic for the Mediterranean this summer	2022-10-14 15:29:56
海外ニュース	Japan Times latest articles	New film explores Nigeria’s pioneering Olympics football glory	https://www.japantimes.co.jp/sports/2022/10/14/olympics/nigeria-soccer-football-film-africa-stereotypes/	global	2022-10-14 15:23:25
ニュース	BBC News - Home	Mini-budget U-turn on table as Kwasi Kwarteng flies home	https://www.bbc.co.uk/news/uk-politics-63250796?at_medium=RSS&at_campaign=KARANGA	chancellor	2022-10-14 06:49:03
ニュース	BBC News - Home	Royal Mail to axe up to 6,000 jobs as losses rise	https://www.bbc.co.uk/news/uk-63253687?at_medium=RSS&at_campaign=KARANGA	redundancies	2022-10-14 06:54:51
ニュース	BBC News - Home	North Carolina: Five dead in Raleigh mass shooting	https://www.bbc.co.uk/news/world-us-canada-63253516?at_medium=RSS&at_campaign=KARANGA	cooper	2022-10-14 06:52:30
ニュース	BBC News - Home	Shields v Marshall: 'I was an angry kid' - the making of one of boxing's most remarkable champions	https://www.bbc.co.uk/sport/boxing/62842461?at_medium=RSS&at_campaign=KARANGA	Shields v Marshall x I was an angry kid x the making of one of boxing x s most remarkable championsClaressa Shields speaks to BBC Sport about her upbringing what shaped her and her character before her fight with Savannah Marshall this weekend	2022-10-14 06:17:25
ビジネス	ダイヤモンド・オンライン - 新着記事	日本や欧州の旅、米国人には四半世紀で最安 - WSJ発	https://diamond.jp/articles/-/311357	四半世紀	2022-10-14 15:24:00
ビジネス	東洋経済オンライン	苦手な人と話す時に心のダメージをゼロにする策 悪口をよく話す人､反りが合わない家族や友人 | アルファポリス | 東洋経済オンライン	https://toyokeizai.net/articles/-/625345?utm_source=rss&utm_medium=http&utm_campaign=link_back	東洋経済オンライン	2022-10-14 16:00:00
ビジネス	東洋経済オンライン	ロシアとイラン､独裁終焉で訪れる圧倒的無秩序 政権代替でも具体策なく､核保有国がカオスに | グローバルアイ | 東洋経済オンライン	https://toyokeizai.net/articles/-/624053?utm_source=rss&utm_medium=http&utm_campaign=link_back	東洋経済オンライン	2022-10-14 16:00:00
ビジネス	東洋経済オンライン	リスキリング成功させた人に備わる｢7つの能力｣ 自分の市場価値が高まり､チャンスがつかめる | 読書 | 東洋経済オンライン	https://toyokeizai.net/articles/-/620322?utm_source=rss&utm_medium=http&utm_campaign=link_back	市場価値	2022-10-14 16:00:00
IT	週刊アスキー	産直通販サイト「食べチョク」、「ステーキ」「とらふぐ」など届くごちそう定期便サービスをスタート	https://weekly.ascii.jp/elem/000/004/108/4108989/	通販サイト	2022-10-14 15:30:00
IT	週刊アスキー	暗闇に潜む捕食者・シロワニの生態に迫る！	https://weekly.ascii.jp/elem/000/004/109/4109023/	八景島シーパラダイス	2022-10-14 15:15:00
IT	週刊アスキー	Steam版『トライアングルストラテジー』本日発売！HD-2D技術を採用した本格タクティクスRPG	https://weekly.ascii.jp/elem/000/004/109/4109019/	pcsteam	2022-10-14 15:10:00
マーケティング	AdverTimes	ECの売れ行き支えるオウンドメディア　社内広報にも寄与	https://www.advertimes.com/20221014/article398352/	aiganstyle	2022-10-14 06:15:55
マーケティング	AdverTimes	PRアワードへの応募は、広報・PR活動の健康診断になる	https://www.advertimes.com/20221014/article398260/		2022-10-14 06:08:57