投稿時間:2021-12-31 01:21:19 RSSフィード2021-12-31 01:00 分まとめ(30件)

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AWS	AWS Game Tech Blog	Community update for Amazon GameSparks	https://aws.amazon.com/blogs/gametech/community-update-for-amazon-gamesparks/	Community update for Amazon GameSparksAs this year is ending we want to provide an update on Amazon GameSparks which is the upcoming addition to the AWS Game Tech portfolio that was pre announced at GDC this past July Amazon GameSparks will be a managed service that provides backend feature tools for building running and scaling games Built from the ground …	2021-12-30 15:23:33
python	Pythonタグが付けられた新着投稿 - Qiita	Amazon Forecastで株価予測	https://qiita.com/engulisyu/items/a0196e2246f8289b47a1	AmazonForecastで株価予測使用するデータ予測する株価のデータはTOPIXで年から現在までを使用します。	2021-12-31 00:33:53
js	JavaScriptタグが付けられた新着投稿 - Qiita	swiper ver6以降で、高さを揃える方法	https://qiita.com/qiitaitti/items/97ed39d711c066e24a48	antswiperslideheightauto	2021-12-31 00:57:34
js	JavaScriptタグが付けられた新着投稿 - Qiita	ReactとNode.jsでセッション管理を実現するために行ったこと	https://qiita.com/natarisan/items/b43219f03566da8d0a66	React側でfetchメソッドaxiosでも可を用いて、現在のログイン状態変数tokenの状態を取得するためのGETリクエストをNodejs側に送信します。	2021-12-31 00:44:15
Program	[全てのタグ]の新着質問一覧｜teratail（テラテイル）	分数の足し算を行うプログラムで出力結果の答えが違う	https://teratail.com/questions/376143?rss=all	分数の足し算を行うプログラムで出力結果の答えが違うPHPアルゴリズム分数の計算についての質問です。	2021-12-31 00:56:55
Program	[全てのタグ]の新着質問一覧｜teratail（テラテイル）	MoveTo GASコード	https://teratail.com/questions/376142?rss=all	MoveToGASコード前提・実現したいことデータ一覧表のaposDL管理表aposシートの中からaposkensakuaposテーブルに入力したキーワードを検索し、該当セルの行を抽出してカットペーストでapos対応済みaposシートに転記させたいです。	2021-12-31 00:28:03
Program	[全てのタグ]の新着質問一覧｜teratail（テラテイル）	Python3.9を指定してmecabをインストールしたい	https://teratail.com/questions/376141?rss=all	Pythonを指定してmecabをインストールしたい前提・実現したいことpythonでmecabを使用したいと考えていますが、anacondaのデフォルト環境がpythonのため、どのようにしてpythonにインストールできるかご教示いただければ幸いです。	2021-12-31 00:20:01
Program	[全てのタグ]の新着質問一覧｜teratail（テラテイル）	Laravelでメール認証されなかったユーザーの情報を削除したい	https://teratail.com/questions/376140?rss=all	Laravelでメール認証されなかったユーザーの情報を削除したい実在するメールアドレス、また本人確認ができた人のみ利用できるページを実装したいと思っております。	2021-12-31 00:12:36
Program	[全てのタグ]の新着質問一覧｜teratail（テラテイル）	セーブスロットに画像を表示したい	https://teratail.com/questions/376139?rss=all	セーブスロットに画像を表示したい前提・実現したいこと現在Unityでノベルゲームを制作しておりセーブスロットにセーブ時の画面のスクリーンショットを乗せようと思っています。	2021-12-31 00:07:35
海外TECH	Ars Technica	Tesla is recalling over 475,000 Model 3 and Model S vehicles	https://arstechnica.com/?p=1822871	model	2021-12-30 15:30:33
海外TECH	Ars Technica	Extreme weather could be as expensive as investing in cutting carbon ASAP	https://arstechnica.com/?p=1822835	weather	2021-12-30 15:15:27
海外TECH	MakeUseOf	How to Make 2022 the Year for You	https://www.makeuseof.com/how-to-make-2022-the-year-for-you/	different	2021-12-30 15:30:47
海外TECH	MakeUseOf	How to Make Money Playing Games: 7 Ways	https://www.makeuseof.com/tag/6-ways-to-actually-make-money-playing-video-games/	games	2021-12-30 15:30:47
海外TECH	MakeUseOf	The 4 Biggest Hacks of 2021 (and What We Can Learn From Them)	https://www.makeuseof.com/biggest-hacks-of-2021/	regular	2021-12-30 15:15:12
海外TECH	DEV Community	My first impressions with pyenv	https://dev.to/waylonwalker/my-first-impressions-with-pyenv-29h8	My first impressions with pyenvpyenv provides an easy way to install almost any version of python from a large list of distributions I have simply been using the version of python from the os package manager for awhile but recently I bumped my home system to Ubuntu impish and it is only while the libraries I needed were only compatable with up to I needed to install an older version of python on ubuntuI ve been wanting to check out pyenv for awhile now but without a burning need to do so installingBased on the Readme it looked like I needed to install using homebrew so this is what I did but I later realized that there is a pyenv installer repo that may have saved me this need List out install candidatesYou can list all of the available versions to install withpyenv install list It does reccomend updating pyenv if you suspect that it is missing one At the time of writing this comes out to different versions pyenv install list Let s install the latest patchInstalling a version is as easy as pyenv install This will install it but not make it active anywhere pyenv install let s use python while in this directoryRunning pyenv local will set the version of python that we wish to use while in this directory and any directory underneath of it while using the pyenv command pyenv local python python version fileThis creates a python version files in the directory I ran it in that contains simply the version number using with pipxI immediately ran into the same issue I was having before when trying to run pipx as pipx was running my system python I had to install pipx in the python environment to get it to use it pyenv exec pip install pipxpyenv exec pipx run kedro new python is still the system pythonWhen I open a terminal and call python its still my system python that I installed and set with update alternatives I am not sure if this is expected or based on how I had installed the system python previously but it s what happened on my system update alternatives query pythonName pythonLink home walkers local bin pythonStatus autoBest usr bin pythonValue usr bin python making a virtual environmentTo make a virtual environment I simply ran pyenv exec python in place of where I would normally run python and it worked for me There is a whole package to get pyenv and venv to play nicely together so I suspect that there is more to it but this worked well for me and I was happy pyenv exec python m venv venv prompt basename PWD Now when my virtual environment is active it points to the python in that virtual environment and is the version of python that was used to create the environment Links installationI wrote this during my first few minutes of using pyenv It s been working great for me since then and has been practically invisible If you have more experience with pyenv I would really appreciate a comment on your experience below	2021-12-30 15:23:45
海外TECH	DEV Community	Designing the Analytics patterns using a Lake House approach on AWS	https://dev.to/aws-builders/designing-the-analytics-patterns-using-a-lake-house-approach-on-aws-2hh6	Designing the Analytics patterns using a Lake House approach on AWSMany organizations are moving all their data from various silos into a single location often called a data lake to perform analytics and ML These same companies also store data in purpose built data stores for the performance scale and cost advantages they provide for specific use cases Examples of such data stores include data warehouses to get quick results for complex queries on structured data and technologies like Elasticsearch to quickly search and analyze log data to monitor the health of production systems A one size fits all approach to data analytics no longer works because it inevitably leads to compromises Lake House architecture on AWS provides a strategic vision of how multiple AWS data and analytics services can be combined into a multi purpose data processing and analytics environment There are the three analytics patterns you can derive insights from by using a Lake House approach on AWS Inside out data movementOutside in data movementData movement around the perimeter Derive insights with inside out data movementTo get the most from your data lakes and these purpose built stores you need to move data between these systems easily For example clickstream data from web applications can be collected directly in a data lake and a portion of that data can bemoved out to a data warehouse for daily reporting We think of this concept as insideout data movement gt Derive real time event based visualization insights from your Lake house with Amazon Redshift and Amazon QuickSightCustomers often want to analyze their data visually as soon as data is ingested into their data lake to make decisions with speed and agility for downstream business value The following diagram illustrates the Lake House inside out data movement with Amazon Redshift and Amazon QuickSight to perform data visualization insights Derive real time event based visualization insights from your Lake House with Amazon Redshift and Amazon QuickSightThe steps that data follows through the architecture are as follows Data ingestion ーA new data file is uploaded in Amazon S An S event triggers an AWS Lambda function Event trigger ーLambda triggers an AWS Glue workflow to start processing the file Lambda updates Glue Data Catalog with metadata changes Data processing ーLoad transformed data into target data stores like S and Amazon Redshift AWS Glue jobs push logs and notifications to Amazon CloudWatch CloudWatch triggers a Lambda function upon AWS Glue job completion Data analytics ーAnalyze the data in Amazon Redshift and the data lake S Lambda calls the QuickSight ingestion API to refresh the SPICE dataset Data visualizations ーNew data is reflected in QuickSight visuals QuickSight can create a data set by combining data in Amazon Redshift and Athena Output is stored in SPICE for fast analytics gt Derive persona centric insights from your Lake House with AWS Glue DataBrew Amazon Athena Amazon Redshift and Amazon QuickSightMany organizations want to get insights from exponentially growing data volumes to help them make decisions with speed and agility They need to embrace data gravity by using both a central data lake and a ring of purpose built data services and datawarehouses based on persona or job function The following diagram illustrates the Lake House inside out data movement with AWS Glue DataBrew Amazon Athena Amazon Redshift and Amazon QuickSight to perform persona centric data analyticsThe steps that data follows through the architecture are as follows Data ingestion ーData is ingested into S from different sources Ad hoc data processing ーData curators and data scientists use Data Brew to validate clean and enrich the data Amazon Athena is also used to run ad hoc queries to analyze the data in the lake The transformation is shared with data engineers to set up batch processing Batch data processing ーData engineers or developers set up batch jobs in AWS Glue and AWS Glue DataBrew Jobs can be event triggered or can be scheduled to run periodically Data analytics ーData and business analysts can now analyze prepared datasets in Amazon Redshift or in S using Athena Data visualizations ーBusiness analysts can create visuals in QuickSight Data curators can enrich data from multiple sources Administrators can enforce security and data governance Developers can embed the QuickSight dashboard in applications Derive insights with outside in data movementYou can also move data in the other direction from the outside in For example you can copy query results for sales of products in a given Region from your data warehouse into your data lake to run product recommendation algorithms against a larger data set using machine learning Think of this concept as outside in datamovement gt Derive insights from Amazon DynamoDB data for real time prediction with Amazon SageMakerAmazon DynamoDB is a fast NoSQL database used by applications that need consistent single digit millisecond latency Customers want to move valuable data in DynamoDB into S to derive insights This data in S can be the primary source for understanding customers past behavior predicting future behavior and generating downstream business value The following diagram illustrates the Lake House outside in data movement with DynamoDB data to derive personalized recommendations Derive insights from Amazon DynamoDB data for real time prediction with Amazon SageMakerThe steps that data follows through the architecture are as follows Export DynamoDB tables as JSON into S Exported JSON files are converted to comma separated value csv format touse as a data source for Amazon SageMaker by using AWS Glue Amazon SageMaker renews the model artifact and updates the endpoint The converted csv file is available for ad hoc queries with Athena gt Derive insights from Amazon Aurora data with Apache Hudi AWS Glue AWS DMS and Amazon RedshiftAWS Database Migration Service AWS DMS can replicate the data from your source systems to S When the data is in S customers process it based on their analytics requirements A typical requirement is to sync the data in S with the updates on the source systems Although it s easy to apply updates on a relational database management system RDBMS that backs an online source application it s difficult to apply this CDC process on your data lakes Apache Hudi is a good way to solve this problem Currently you can use Hudi on Amazon EMR to create Hudi tables The following diagram illustrates the Lake House outside in data movement with Amazon Aurora Postgres changed data to derive analytics Derive insights from Amazon Aurora data with Apache Hudi AWS Glue AWS DMS and Amazon RedshiftThe steps that data follows through the architecture are as follows AWS DMS replicates the data from the Aurora cluster to the raw S bucket Use Apache Hudi to create tables in the AWS Glue Data Catalog using AWS Glue jobs An AWS Glue job HudiJob that is scheduled to run at a frequency set in the ScheduleToRunGlueJob parameter This job reads the data from the raw S bucket writes to the curated S bucket and creates a Hudi table in the Data Catalog The job also creates an Amazon Redshift external schema in the Amazon Redshift cluster You can now query the Hudi table in Amazon Athena or Amazon Redshift Refer to the blog post Creating a source to Lakehouse data replication pipe using Apache Hudi AWS Glue AWS DMS and Amazon Redshift for additional details Derive insights with moving data around the perimeterIn other situations you want to move data from one purpose built data store to another data movement around the perimeter For example you may copy the product catalog data stored in your database to your search service to make it easier to look through your product catalog and offload the search queries from the database We think of this concept as data movement around the perimeter gt Derive insights from your data lake data warehouse and operational databasesA data warehouse is a database optimized to analyze relational data coming from transactional systems and line of business applications Amazon Redshift is a fast fully managed data warehouse that makes it simple and cost effective to analyze data using standard SQL and existing Business Intelligence BI tools To get information from unstructured data that would not fit in a data warehouse you can build a data lake A data lake is a centralized repository that allows you to store all your structured and unstructured data at any scale With a data lake built on Amazon S you can easily run big data analytics and use ML to gain insights from your semistructured such as JSON XML and unstructured datasets AWS is launching two new features to help you improve the way you manage your data warehouse and integrate with a data lake Data Lake Export to unload data from an Amazon Redshift cluster to S in Apache Parquet format an efficient open columnar storage format optimized for analytics Federated Query to be able from an Amazon Redshift cluster to query o Across data stored in the clustero In your S data lakeo In one or more Amazon Relational Database Service Amazon RDS for PostgreSQL and Amazon Aurora PostgreSQL databasesThe following diagram illustrates the “moving the data around the perimeter Lake House approach with S Amazon Redshift Amazon Aurora PostgreSQL and Amazon EMR to derive analytics Derive insights from your data lake data warehouse and operational databasesThe steps that data follows through the architecture are as follows Using the Redshift data lake export ーYou can unload the result of a Redshift query to an S data lake in Apache Parquet format The Parquet format is up to x faster to unload and consumes up to x less storage in S compared to text formats Redshift Spectrum enables you to query data directly from files in Swithout moving data Or you can use Amazon Athena Amazon EMR orAmazon SageMaker to analyze the data Using the Redshift federated query ーYou can also access data in Amazon RDS and Aurora PostgreSQL stores directly from your Amazon Redshift data warehouse In this way you can access data as soon as it is available By using federated queries in Amazon Redshift you can query and analyze data across operational databases data warehouses and data lakes See the blog post New for Amazon Redshift Data Lake Export and Federated Query for additional details gt Derive insights from your data lake data warehouse and purpose built analytics stores by using Glue Elastic ViewsAWS Glue Elastic Views automates the flow of data from one AWS location to another helping to eliminate the need for data engineers to write complex extract transform and load ETL or extract load and transform ELT scripts to facilitate data movement in the AWS Cloud By utilizing CDC technology you can be assured that you re getting the latest changes from the source data sources You can just create a view using SQL and pull data out of databases like DynamoDB or Aurora and then you can pick a target like Amazon Redshift or S or Elastic Search Service and all changes will propagate through You can scale up and down automatically AWS also monitors that flow of data for any change so all the error handling and monitoring is no longer your responsibility It simplifies that data movement across services AWS Glue Elastic Views builds on Athena s federated query capability by making it easier for users to get access to the most up to date data while also enabling them to query data wherever it might reside all using SQL The preview of AWS Glue Elastic Views supports DynamoDB and Aurora as sources and Amazon Redshift and Elasticsearch as targets The goal is for AWS to add more supported sources and destinations over time It s also welcoming customers and partners to use the Elastic Views API to add support for their databases and data stores too The following diagram illustrates the “moving the data around the perimeter Lake House approach with AWS Glue Elastic Views to derive insights Derive insights from your data lake data warehouse and purpose built analytics stores by using AWS Glue Elastic Views ConclusionA Lake House architecture built on a portfolio of purpose built services helps you quickly get insight from all your data to all your users It enables you to build for the future so you can easily add new analytic approaches and technologies as they becomeavailable Hope this guide helps you with Designing the Analytics patterns using a Lake House approach on AWS 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 Notes	2021-12-30 15:12:13
Apple	AppleInsider - Frontpage News	How to use Conversation Boost with AirPods Pro	https://appleinsider.com/articles/21/10/06/how-to-use-conversation-boost-with-airpods-pro?utm_medium=rss	How to use Conversation Boost with AirPods ProApple s latest hearing technology is now available on AirPods Pro and it s easy to use ーbut oddly fiddly to set up Conversation Boost helps you hear people talking to youThis could be simpler Apple is brilliant with accessibility features but often setting them up requires a lot of steps and Conversation Boost certainly does Read more	2021-12-30 15:53:00
Apple	AppleInsider - Frontpage News	Apple shifted orders from Foxconn to Luxshare to assist $275B China deal	https://appleinsider.com/articles/21/12/30/apple-shifted-orders-from-foxconn-to-luxshare-to-assist-275b-china-deal?utm_medium=rss	Apple shifted orders from Foxconn to Luxshare to assist B China dealA new report details how Apple has increased its reliance on Chinese supply chain partners including Luxshare which is reportedly poised to unseat Foxconn as Apple s primary supplier Apple Store in ChinaThe new details follow a report from earlier in December revealing an alleged secret deal that Apple made with the Chinese government to invest in local companies The Information on Thursday has revealed what some of those investments entail Read more	2021-12-30 15:59:26
Apple	AppleInsider - Frontpage News	Amazon's best year-end Apple deals: $299 iPad, AirPods sale, $349 Apple Watch 7	https://appleinsider.com/articles/21/12/26/amazons-best-year-end-apple-deals-299-ipad-airpods-sale-339-apple-watch-7?utm_medium=rss	Amazon x s best year end Apple deals iPad AirPods sale Apple Watch After Christmas deals are going on now at Amazon and a variety of Apple devices are on sale from AirPods Pro to Apple Watch models ーand even the Apple Pencil iPadAfter selling out for much of the holiday season the popular iPad th Generation is back in stock At off the budget friendly model is perfect to use as a family device or note taking tool for students Read more	2021-12-30 15:19:06
Apple	AppleInsider - Frontpage News	Last call for these Samsung TV deals: Save up to $3,500 on The Frame, 8K models	https://appleinsider.com/articles/21/12/20/samsung-tv-deals-are-back-save-up-to-3500-on-the-frame-8k-neo-qled-models?utm_medium=rss	Last call for these Samsung TV deals Save up to on The Frame K modelsTime is running out to save up to on high end K and The Frame televisions marking the return of Black Friday prices on many models Professional TV mounting can be added as well for easy installation Samsung s TV sale knocks up to off models instantly with free shipping and optional TV mounting available Shop Samsung s TV Sale Read more	2021-12-30 15:09:16
Apple	AppleInsider - Frontpage News	LastPass denies claims that master passwords may have been compromised	https://appleinsider.com/articles/21/12/28/lastpass-master-passwords-may-have-been-compromised?utm_medium=rss	LastPass denies claims that master passwords may have been compromisedLastPass members have reported multiple attempted logins using correct master passwords from various locations but the company has alternately said that the recent attacks are a result of shared passwords gleaned from breaches of other services or possibly warnings sent in error LastPass may have been hackedMultiple users in a Hacker News forum have shared that their master passwords for LastPass appear to be compromised It is unknown how the passwords have leaked out but a pattern has emerged amongst users Read more	2021-12-30 15:02:43
海外TECH	Engadget	Apple's 2021 iPad is back to $299 at Amazon	https://www.engadget.com/apple-2021-ipad-amazon-new-years-sale-152313959.html?src=rss	Apple x s iPad is back to at AmazonDon t worry if you didn t get or give the latest iPad this holiday season ーyou can still score one at a discount Amazon is once again selling the GB standard iPad for or off its usual price You can also buy the GB version at an all time low price of You may have to wait a while when the GB model isn t due to ship until mid February but it could be worthwhile if you re not in a rush to grab Apple s most affordable tablet Buy iPad at Amazon The iPad is another modest update to a core design that hasn t changed for years but those changes could make all the difference in some cases The wide angle front camera is much better suited to video calls The A Bionic chip is still very fast for this class of tablet and the plus hours of battery life is more than enough for typical tablet uses There s even a headphone jack ーimagine that This isn t the iPad for you if you insist on Apple s latest technology you won t find USB C thin bezels or second gen Pencil support You ll want an iPad Air or mini or Pro for that If all you want is a big screen for games reading and TV marathons though this base iPad is an easy choice at a price like this Follow EngadgetDeals on Twitter for the latest tech deals and buying advice	2021-12-30 15:23:13
金融	RSS FILE - 日本証券業協会	株券等貸借取引状況（週間）	https://www.jsda.or.jp/shiryoshitsu/toukei/kabu-taiw/index.html	貸借	2021-12-30 15:30:00
ニュース	BBC News - Home	Ghislaine Maxwell: What the trial means for Prince Andrew	https://www.bbc.co.uk/news/world-us-canada-59780323?at_medium=RSS&at_campaign=KARANGA	andrewghislaine	2021-12-30 15:09:45
ニュース	BBC News - Home	Covid: Wales' self isolation period cut from 10 days to seven	https://www.bbc.co.uk/news/uk-wales-59831201?at_medium=RSS&at_campaign=KARANGA	lateral	2021-12-30 15:34:44
ニュース	BBC News - Home	'No-one is above the law': Victims react	https://www.bbc.co.uk/news/world-us-canada-59828690?at_medium=RSS&at_campaign=KARANGA	guilty	2021-12-30 15:34:42
ニュース	BBC News - Home	Covid map: Coronavirus cases, deaths, vaccinations by country	https://www.bbc.co.uk/news/world-51235105?at_medium=RSS&at_campaign=KARANGA	countrykey	2021-12-30 15:53:02
ニュース	BBC News - Home	Covid: What are the social distancing rules?	https://www.bbc.co.uk/news/uk-51506729?at_medium=RSS&at_campaign=KARANGA	covid	2021-12-30 15:19:51
北海道	北海道新聞	小平、１０００も五輪代表切符　男子は小島、新浜、森重　スピードスケート	https://www.hokkaido-np.co.jp/article/628873/	北京冬季五輪	2021-12-31 00:18:34
北海道	北海道新聞	大阪・鶴橋の焼き肉店で出火　営業中、けが人なし	https://www.hokkaido-np.co.jp/article/629048/	大阪市天王寺区下味原町	2021-12-31 00:06:00