投稿時間:2022-02-03 13:26:41 RSSフィード2022-02-03 13:00 分まとめ(31件)

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IT	気になる、記になる…	Appleの整備済み商品情報 2022/2/3	https://taisy0.com/2022/02/03/151562.html	apple	2022-02-03 03:28:19
TECH	Engadget Japanese	iOS 15.4ベータ「マスク姿でFace ID解除」の設定方法。複数のメガネ登録も可能	https://japanese.engadget.com/face-id-with-a-mask-ios154-beta-031232767.html	macrumors	2022-02-03 03:12:32
IT	ITmedia 総合記事一覧	[ITmedia ビジネスオンライン] やよい軒アプリがリニューアル　人気の6商品が150円引きのクーポン「なんどもパス」を配信	https://www.itmedia.co.jp/business/articles/2202/03/news110.html	itmedia	2022-02-03 12:50:00
IT	ITmedia 総合記事一覧	[ITmedia ビジネスオンライン] 近畿圏の“借りて住みたい街” ランキング　3位「姫路」、2位「三ノ宮」、1位は？	https://www.itmedia.co.jp/business/articles/2202/03/news103.html	itmedia	2022-02-03 12:40:00
IT	ITmedia 総合記事一覧	[ITmedia ビジネスオンライン] 平均2.3億円台の建売住宅、第1期が即日完売　野村不動産「23区を中心に今後も展開」	https://www.itmedia.co.jp/business/articles/2202/03/news112.html	itmedia	2022-02-03 12:35:00
IT	ITmedia 総合記事一覧	[ITmedia News] 「住みたい街ランキング」賃貸トップは2年連続「本厚木」　一昨年まで4年連続1位だった「池袋」は？	https://www.itmedia.co.jp/news/articles/2202/03/news113.html	神奈川県	2022-02-03 12:24:00
IT	ITmedia 総合記事一覧	[ITmedia News] PayPay、三菱UFJの口座が登録可能に	https://www.itmedia.co.jp/news/articles/2202/03/news105.html	itmedianewspaypay	2022-02-03 12:04:00
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	福岡市、量子コンピュータを活用し、COVID-19患者の搬送ルートをワンクリックで作成 | IT Leaders	https://it.impress.co.jp/articles/-/22667	福岡市、量子コンピュータを活用し、COVID患者の搬送ルートをワンクリックで作成ITLeaders福岡市は、量子コンピュータを活用した「新型コロナウイルス感染症患者移送行程表作成システムサービス」を年月に稼働させた。	2022-02-03 12:26:00
AWS	AWS Japan Blog	【開催報告】アップデート紹介とちょっぴり DiveDeep する AWS の時間 第十四回 ( 01/27 )	https://aws.amazon.com/jp/blogs/news/update-divedeep-series-14/	【開催報告】アップデート紹介とちょっぴりDiveDeepするAWSの時間第十四回みなさんこんにちはアマゾンウェブサービスジャパン合同会社ソリューションアーキテクトの前田です。	2022-02-03 03:48:56
AWS	AWS - Japan	AWS Academy 加盟校の声：富山情報ビジネス専門学校	https://www.youtube.com/watch?v=xq61971YUTI	awsacademy	2022-02-03 03:33:31
js	JavaScriptタグが付けられた新着投稿 - Qiita	React + TypeScript: Recoil公式チュートリアルのTodoリストをつくる 01 ー atomを使った項目操作	https://qiita.com/FumioNonaka/items/3ed6b562a20f6d4abb2b	Todo項目のデータはコンポーネントが引数オブジェクトで受け取り、編集やチェック、削除の関数をつぎのコードのように定めました。	2022-02-03 12:55:51
Azure	Azureタグが付けられた新着投稿 - Qiita	AI-900:Microsoft Azure AI Fundamentals試験に向けて part4	https://qiita.com/voguuuuus/items/76fb6de8d2c5f98bd2b3	AIMicrosoftAzureAIFundamentals試験に向けてpartAzureMachineLearningデザイナーを使用してクラスタリングモデルを作成するMSLearnリンクはコチラクラスタリングモデル前回・前々回の統計と同じ機械学習手法のつ機械学習の種でデータ間の類似度にもとづいて、データをグループ分けする手法ワークスペース・コンピューティグリソースの作成特に注意点もないので省略データ正規化だんだん慣れてきたなトレーニングモジュールの追加Randomseedって何だっけって思ったけど乱数作ってるだけだった。	2022-02-03 12:36:50
海外TECH	DEV Community	Streaming Data Solutions on AWS - Part 2	https://dev.to/aws-builders/streaming-data-solutions-on-aws-part-2-508e	Streaming Data Solutions on AWS Part Having the ability to process and analyze this data in real time is essential to do things such as continuously monitor your applications to ensure high service uptime and personalize promotional offers and product recommendations Real time and near real time processing can also make other common use cases such as website analytics and machine learning more accurate and actionable by making data available to these applications in seconds or minutes instead of hours or days Common near real time use cases include analytics on data stores for data science and machine learning ML Streaming data solutions on AWS is a series containing different articles that review several scenarios for streaming workflows In these scenarios streaming data amp processing it provides the example companies with the ability to add new features and functionality By analyzing data as it gets created they can gain insights into what their business is doing AWS streaming services enable you to focus on your application to make time sensitive business decisions rather than deploying and managing the infrastructure Scenario Near real time data for security teamsCompany ABCBadge provides sensors and badges for corporate or large scale events such as AWS re Invent Users sign up for the event and receive unique badges that the sensors pick up across the campus As users pass by a sensor their anonymized information is recorded into a relational database In an upcoming event due to the high volume of attendees ABCBadge has been requested by the event security team to gather data for the most concentrated areas of the campus every minutes This will give the security team enough time to react and disperse security personal proportionally to concentrated areas Given this new requirement from the security team and the inexperience of building a streaming solution to process date in near real time ABCBadge is looking for a simple yet scalable and reliable solution Their current data warehouse solution is Amazon Redshift While reviewing the features of the Amazon Kinesis services they recognized that Amazon Kinesis Data Firehose can receive a stream of data records batch the records based on buffer size and or time interval and insert them into Amazon Redshift They created a Kinesis Data Firehose delivery stream and configured it so it would copy data to their Amazon Redshift tables every five minutes As part of this new solution they used the Amazon Kinesis Agent on their servers Every five minutes Kinesis Data Firehose loads data into Amazon Redshift where the business intelligence BI team is enabled to perform its analysis and send the data to the security team every minutes New solution using Amazon Kinesis Data Firehose Amazon Kinesis Data FirehoseAmazon Kinesis Data Firehose is the easiest way to load streaming data into AWS It can capture transform and load streaming data into Amazon Kinesis Data Analytics Amazon Simple Storage Service Amazon S Amazon Redshift Amazon OpenSearch Service OpenSearch Service and Splunk Additionally Kinesis Data Firehose can load streaming data into any custom HTTP endpoint or HTTP endpoints owned by supported third party service providers Kinesis Data Firehose enables near real time analytics with existing business intelligence tools and dashboards that you re already using today It s a fully managed serverless service that automatically scales to match the throughput of your data and requires no ongoing administration Kinesis Data Firehose can batch compress and encrypt the data before loading minimizing the amount of storage used at the destination and increasing security It can also transform the source data using AWS Lambda and deliver the transformed data to destinations You configure your data producers to send data to Kinesis Data Firehose which automatically delivers the data to the destination that you specify Sending data to a Firehose delivery streamTo send data to your delivery stream there are several options AWS offers SDKs for many popular programming languages each of which provides APIs for Amazon Kinesis Data Firehose AWS has a utility to help send data to your delivery stream Kinesis Data Firehose has been integrated with other AWS services to send data directly from those services into your delivery stream Using Amazon Kinesis agentAmazon Kinesis agent is a standalone software application that continuously monitors a set of log files for new data to be sent to the delivery stream The agent automatically handles file rotation checkpointing retries upon failures and emits Amazon CloudWatch metrics for monitoring and troubleshooting of the delivery stream Additional configurations such data pre processing monitoring multiple file directories and writing to multiple delivery streams can be applied to the agent The agent can be installed on Linux or Windows based servers such as web servers log servers and database servers Once the agent is installed you simply specify the log files it will monitor and the delivery stream it will send to The agent will durably and reliably send new data to the delivery stream Using API with AWS SDK and AWS services as a sourceThe Kinesis Data Firehose API offers two operations for sending data to your delivery stream PutRecord sends one data record within one call PutRecordBatch can send multiple data records within one call and can achieve higher throughput per producer In each method you must specify the name of the delivery stream and the data record or array of data records when using this method For more information and sample code for the Kinesis Data Firehose API operations see Writing to a Firehose Delivery Stream Using the AWS SDK Kinesis Data Firehose also runs with Kinesis Data Firehose CloudWatch Logs CloudWatch Events Amazon Simple Notification Service Amazon SNS Amazon API Gateway and AWS IoT You can scalably and reliably send your streams of data logs events and IoT data directly into a Kinesis Data Firehose destination Processing data before delivery to destinationIn some scenarios you might want to transform or enhance your streaming data before it is delivered to its destination For example data producers might send unstructured text in each data record and you need to transform it to JSON before delivering it to OpenSearch Service Or you might want to convert the JSON data into a columnar file format such as Apache Parquet or Apache ORC before storing the data in Amazon S Kinesis Data Firehose has built in data format conversion capability With this you can easily convert your streams of JSON data into Apache Parquet or Apache ORC file formats Data transformation flowTo enable streaming data transformations Kinesis Data Firehose uses a Lambda function that you create to transform your data Kinesis Data Firehose buffers incoming data to a specified buffer size for the function and then invokes the specified Lambda function asynchronously The transformed data is sent from Lambda to Kinesis Data Firehose and Kinesis Data Firehose delivers the data to the destination Data format conversionYou can also enable Kinesis Data Firehose data format conversion which will convert your stream of JSON data to Apache Parquet or Apache ORC This feature can only convert JSON to Apache Parquet or Apache ORC If you have data that is in CSV you can transform that data via a Lambda function to JSON and then apply the data format conversion Data deliveryAs a near real time delivery stream Kinesis Data Firehose buffers incoming data After your delivery stream s buffering thresholds have been reached your data is delivered to the destination you ve configured There are some differences in how Kinesis Data Firehose delivers data to each destination which this paper reviews in the following sections Amazon SAmazon S is object storage with a simple web service interface to store and retrieve any amount of data from anywhere on the web It s designed to deliver durability and scale past trillions of objects worldwide Data delivery to Amazon SFor data delivery to Amazon S Kinesis Data Firehose concatenates multiple incoming records based on the buffering configuration of your delivery stream and then delivers them to Amazon S as an S object The frequency of data delivery to S is determined by the S buffer size MB to MB or buffer interval seconds to seconds whichever comes first Data delivery to your S bucket might fail for various reasons For example the bucket might not exist anymore or the AWS Identity and Access Management IAM role that Kinesis Data Firehose assumes might not have access to the bucket Under these conditions Kinesis Data Firehose keeps retrying for up to hours until the delivery succeeds The maximum data storage time of Kinesis Data Firehose is hours If data delivery fails for more than hours your data is lost Amazon RedshiftAmazon Redshift is a fast fully managed data warehouse that makes it simple and cost effective to analyze all your data using standard SQL and your existing BI tools It enables you to run complex analytic queries against petabytes of structured data using sophisticated query optimization columnar storage on high performance local disks and massively parallel query running Data delivery to Amazon RedshiftFor data delivery to Amazon Redshift Kinesis Data Firehose first delivers incoming data to your S bucket in the format described earlier Kinesis Data Firehose then issues an Amazon Redshift COPY command to load the data from your S bucket to your Amazon Redshift cluster The frequency of data COPY operations from S to Amazon Redshift is determined by how fast your Amazon Redshift cluster can finish the COPY command For an Amazon Redshift destination you can specify a retry duration seconds when creating a delivery stream to handle data delivery failures Kinesis Data Firehose retries for the specified time duration and skips that particular batch of S objects if unsuccessful The skipped objects information is delivered to your S bucket as a manifest file in the errors folder which you can use for manual backfill Following is an architecture diagram of Kinesis Data Firehose to Amazon Redshift data flow Although this data flow is unique to Amazon Redshift Kinesis Data Firehose follows similar patterns for the other destination targets Data flow from Kinesis Data Firehose to Amazon Redshift Amazon OpenSearch Service OpenSearch Service OpenSearch Service is a fully managed service that delivers the OpenSearch easy to use APIs and real time capabilities along with the availability scalability and security required by production workloads OpenSearch Service makes it easy to deploy operate and scale OpenSearch for log analytics full text search and application monitoring Data delivery to OpenSearch ServiceFor data delivery to OpenSearch Service Kinesis Data Firehose buffers incoming records based on the buffering configuration of your delivery stream and then generates an OpenSearch bulk request to index multiple records to your OpenSearch cluster The frequency of data delivery to OpenSearch Service is determined by the OpenSearch buffer size MB to MB and buffer interval seconds to seconds values whichever comes first For the OpenSearch Service destination you can specify a retry duration seconds when creating a delivery stream Kinesis Data Firehose retries for the specified time duration and then skips that particular index request The skipped documents are delivered to your S bucket in the elasticsearch failed folder which you can use for manual backfill Amazon Kinesis Data Firehose can rotate your OpenSearch Service index based on a time duration Depending on the rotation option you choose NoRotation OneHour OneDay OneWeek or OneMonth Kinesis Data Firehose appends a portion of the Coordinated Universal Time UTC arrival timestamp to your specified index name Custom HTTP endpoint or supported third party service providerKinesis Data Firehose can send data either to Custom HTTP endpoints or supported third party providers such as Datadog Dynatrace LogicMonitor MongoDB New Relic Splunk and Sumo Logic Custom HTTP endpoint or supported third party service providerFor Kinesis Data Firehose to successfully deliver data to custom HTTP endpoints these endpoints must accept requests and send responses using certain Kinesis Data Firehose request and response formats When delivering data to an HTTP endpoint owned by a supported third party service provider you can use the integrated AWS Lambda service to create a function to transform the incoming record s to the format that matches the format the service provider s integration is expecting For data delivery frequency each service provider has a recommended buffer size Work with your service provider for more information on their recommended buffer size For data delivery failure handling Kinesis Data Firehose establishes a connection with the HTTP endpoint first by waiting for a response from the destination Kinesis Data Firehose continues to establish connection until the retry duration expires After that Kinesis Data Firehose considers it a data delivery failure and backs up the data to your S bucket SummaryKinesis Data Firehose can persistently deliver your streaming data to a supported destination It s a fully managed solution requiring little or no development For Company ABCBadge using Kinesis Data Firehose was a natural choice They were already using Amazon Redshift as their data warehouse solution Because their data sources continuously wrote to transaction logs they were able to leverage the Amazon Kinesis Agent to stream that data without writing any additional code Now that company ABCBadge has created a stream of sensor records and are receiving these records via Kinesis Data Firehose they can use this as the basis for the security team use case Hope this guide helps you understand how to Design a Streaming Data Solution on AWS for a Near real time data for security teams scenario Let me know your thoughts in the comment section And if you haven t yet make sure to follow me on below handles connect with me on LinkedInconnect with me on Twitter‍follow me on github️Do Checkout my blogs Like share and follow me for more content ltag user id follow action button background color important color fac important border color important Adit ModiFollow Cloud Engineer AWS Community Builder x AWS Certified x Azure Certified Author of Cloud Tech DailyDevOps amp BigDataJournal DEV moderator Reference Guide	2022-02-03 03:23:46
Apple	AppleInsider - Frontpage News	Battle of the super yachts: Jeff Bezos' Y721 versus Steve Jobs' 'Venus'	https://appleinsider.com/articles/22/02/03/battle-of-the-super-yachts-jeff-bezos-y721-versus-steve-jobs-venus?utm_medium=rss	Battle of the super yachts Jeff Bezos x Y versus Steve Jobs x x Venus x The spotlight is on Jeff Bezos million super yacht because it ll require the disassembly of a historic bridge Here s how the Amazon founder s vessel compares to the yacht built for Steve Jobs The Jeff Bezos superyacht Y minus masts Credit Boat InternationalBezos superyacht made headlines in February because it is reportedly too big to fit underneath the historic Koningshaven Bridge in Rotterdam ーa structure dating back to bombed by the Nazis in World War II and rebuilt after the war Read more	2022-02-03 03:17:48
金融	JPX マーケットニュース	[東証]新規上場日の初値決定前の気配運用について：（株）セイファート	https://www.jpx.co.jp/news/1031/20220203-01.html	新規上場	2022-02-03 13:00:00
金融	ニュース - 保険市場TIMES	アドバンスクリエイトのオンライン面談システム「Dynamic OMO」が特許を取得	https://www.hokende.com/news/blog/entry/2022/02/03/130000	特許番号は、特許第号。	2022-02-03 13:00:00
海外ニュース	Japan Times latest articles	Japan should press China more on human rights, Kishida adviser says	https://www.japantimes.co.jp/news/2022/02/03/national/politics-diplomacy/kishida-adviser-china-human-rights/	Japan should press China more on human rights Kishida adviser saysGen Nakatani the prime minister s human rights adviser says he wants to push China harder on the issue following a parliamentary resolution that called on	2022-02-03 12:22:02
ニュース	BBC News - Home	Winter Olympics: Team GB mixed doubles curlers earn notable win against Canada	https://www.bbc.co.uk/sport/winter-olympics/60239275?at_medium=RSS&at_campaign=KARANGA	Winter Olympics Team GB mixed doubles curlers earn notable win against CanadaTeam GB s curling mixed doubles pair gain another notable victory against fellow medal hopes Canada at the Winter Olympics in Beijing	2022-02-03 03:09:11
GCP	Google Cloud Platform Japan 公式ブログ	クラウドベースの 5G ネットワークのデプロイと運用	https://cloud.google.com/blog/ja/topics/telecommunications/how-csps-can-use-cloud-networks-to-deliver-5g/	クラウドネットワークの基盤を構築するクラウドベースのネットワークを確立する秘訣は、VNFからコンテナ化されたネットワーク機能CNFに移行するという課題の克服にあります。	2022-02-03 05:00:00
北海道	北海道新聞	成田山大阪別院で節分祭　著名人の豆まき、今年も中止	https://www.hokkaido-np.co.jp/article/641244/	交通安全	2022-02-03 12:18:00
北海道	北海道新聞	五輪聖火、万里の長城駆ける　開会式へムード盛り上げ	https://www.hokkaido-np.co.jp/article/641230/	万里の長城	2022-02-03 12:02:46
北海道	北海道新聞	「ビクター」ビデオカメラ終了　家庭用、スマホに押され	https://www.hokkaido-np.co.jp/article/641218/	終了	2022-02-03 12:02:46
北海道	北海道新聞	バッハ氏「安全な五輪に」　五輪開幕前日にＩＯＣ総会	https://www.hokkaido-np.co.jp/article/641240/	国際オリンピック委員会	2022-02-03 12:16:00
北海道	北海道新聞	豪州沖でＣＯ２貯留事業を検討　三菱商事と三井物産	https://www.hokkaido-np.co.jp/article/641232/	三井物産	2022-02-03 12:07:00
北海道	北海道新聞	西武、コロナ感染で２軍練習中止　赤田コーチが陽性	https://www.hokkaido-np.co.jp/article/641231/	赤田将吾	2022-02-03 12:01:00
IT	週刊アスキー	自動配送ロボットを活⽤した配送サービス実現に向けたシンポジウム「自動配送ロボによるラストワンマイルの現在を知る」3月8日	https://weekly.ascii.jp/elem/000/004/082/4082435/	経済産業省	2022-02-03 12:30:00
IT	週刊アスキー	LINE独自の暗号資産「LINK」での支払いが可能になる「LINK支払い」の提供を開始	https://weekly.ascii.jp/elem/000/004/082/4082437/	linepay	2022-02-03 12:30:00
IT	週刊アスキー	【丸亀製麺】身体の中から温まる「カレーうどん弁当」新発売！ 天ぷら、おかずが付いてお得感◎	https://weekly.ascii.jp/elem/000/004/082/4082439/	丸亀製麺	2022-02-03 12:30:00
IT	週刊アスキー	「松屋」ファンを唸らせた「豆腐キムチチゲ」が店舗限定・数量限定で帰ってくる	https://weekly.ascii.jp/elem/000/004/082/4082436/	数量限定	2022-02-03 12:15:00
マーケティング	AdverTimes	駅改札で生鮮品の受け渡しを開始　JR東、クックパッドと	https://www.advertimes.com/20220203/article376039/	受け渡し	2022-02-03 03:26:01
GCP	Cloud Blog JA	クラウドベースの 5G ネットワークのデプロイと運用	https://cloud.google.com/blog/ja/topics/telecommunications/how-csps-can-use-cloud-networks-to-deliver-5g/	クラウドネットワークの基盤を構築するクラウドベースのネットワークを確立する秘訣は、VNFからコンテナ化されたネットワーク機能CNFに移行するという課題の克服にあります。	2022-02-03 05:00:00