投稿時間:2021-05-02 08:11:56 RSSフィード2021-05-02 08:00 分まとめ(13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	ITmedia 総合記事一覧	[ITmedia News] いびきも計測してくれる新Nest Hubを試してみた	https://www.itmedia.co.jp/news/articles/2105/02/news016.html	itmedia	2021-05-02 07:24:00
TECH	Techable（テッカブル）	洗濯機を操作できるアプリ「スマホで洗濯」で、洗剤・柔軟剤をスマート購入	https://techable.jp/archives/153579	都度	2021-05-01 22:00:23
Program	[全てのタグ]の新着質問一覧｜teratail（テラテイル）	jQurery標準デザイン講座p.249の("+ current +")の意味が分かりません。	https://teratail.com/questions/336169?rss=all	jQurery標準デザイン講座pのquotcurrentquotの意味が分かりません。	2021-05-02 07:37:41
Ruby	Railsタグが付けられた新着投稿 - Qiita	【Railsチュートリアル】第10章 ユーザーの更新・表示・削除 演習と解答	https://qiita.com/Hamatus/items/99217fbfce6329ded548	editアクションとupdateアクションではパスが異なるためターミナルrailsroutesgrepuser省略edituserGETusersideditformatusersedituserGET省略PATCHusersidformatusersupdatePUT省略DELETE省略上記のアクションのうち、どちらがブラウザで簡単にテストできるアクションでしょうかURLを指定することでGETリクエストを送ることができるeditアクションフレンドリーフォワーディングフレンドリーフォワーディングで、渡されたURLに初回のみ転送されていることを、テストを書いて確認してみましょう。	2021-05-02 07:37:19
Ruby	Railsタグが付けられた新着投稿 - Qiita	論理演算子について	https://qiita.com/takuo_maeda/items/6ea695a518d2d447132c	ampampaampampba	2021-05-02 07:12:41
海外TECH	DEV Community	Software Engineer Vs Data Engineer - Which Position Is Right For You?	https://dev.to/seattledataguy/software-engineer-vs-data-engineer-which-position-is-right-for-you-2hah	Software Engineer Vs Data Engineer Which Position Is Right For You Photo by Fotis Fotopoulos on Unsplash Which Career Is Right For You Software engineer vs data engineer People outside these professions are often confused about the differences between these experts They may think these are two different names for the same thing a programming expert Of course the duties of each engineer type are different but their roles are similar enough to confuse people who are in the industry as well If you are a new data engineer you may be confused yourself What exactly separates you from a software engineer The answer is not a simple one In fact you can honestly say It depends on the circumstances While there are tangible differences the two positions frequently perform some of the same duties Why Is It So Challenging to Compare a Data Engineer vs a Software Engineer Since people often ask about the differences between a data engineer and a software engineer you should have an answer These are two separate careers so having a definition should not be difficult you may think In reality discussing the differences is challenging because their duties often overlap On any given day you can find a software engineer working with data concepts and a data engineer writing code However this type of overlap is common in many industries including education Think about school administrators versus classroom teachers You wouldn t be shocked to find a principal delivering a lesson or a teacher dealing with discipline issues But you would understand that the focus of their jobs differs The principal s focus is on administration issues and the teacher delivers lessons and manages the classroom Software and data engineers have a different daily focus Different Types of Data EngineersData engineers are not all the same In fact you will find at least two main types of data engineer A data engineer who is really a software engineer with a data focus and a BI developer type of data engineer The former data engineer does more than write code for data pipelines If you fit this category you may also develop logging and monitoring systems that manage the data pipelines tasks that are more on the software engineering side If you are the latter data engineer type you will probably use more Dragon Drop and Airflow coding because others have already developed the infrastructure Instead you are often parameterizing data pipelines and completing the tasks they need to run Of course these data engineer categories can also overlap depending on your employer and changing circumstances Data engineers need to be flexible How Data Engineers Solve Problems vs Software Engineers Solve ProblemsData engineers and software engineers may not approach their duties in the same way If you are a data engineer you probably take a different approach to problem solving than a software engineer does Often you can see these differences in where the engineer places their logic Software engineers like to have one place for all logic so they do not have to add extra logic layers downstream They like things upfront to simplify the process In contrast if you are a data engineer you probably like to put more logic on the SQL side This preference has to do with your skill set A data engineer needs to develop categories in order to map data from different suppliers You must categorize so you can simplify naming conventions and mapping A data engineer will also rely on tables and SQL while a software engineer will lean on Python etc Despite these innate preferences as a data engineer you should put your logic upstream as far as possible in order to reduce errors Adding layers of logic as you go can become needlessly complex and make it vulnerable to problems Differences in SalaryThe salary edge usually goes to the software engineer something that is obviously not popular with you and others in the profession This difference is most common in larger companies where software engineers may earn as much as more than a data engineer However in smaller companies the salary difference may be smaller since the job duties may overlap more In reality they may not care that much about the differences in engineer definitions Your salary will depend on what you give the company more than what your title is Skill Sets for Data Engineers vs Software EngineersData engineers and software engineers are definitely not the same The skill sets for data engineers do differ from those of software engineers although some skills are needed in both professions Companies that rely on SQL may value the data engineer more since you are much stronger in this area As a data engineer you have honed your SQL skills since you are continually modeling structuring and manipulating data Software engineers are weaker here since SQL generally doesn t affect their jobs as much Their focus is usually on functions such as insert delete and update which do not require as much in depth SQL knowledge You have a definite career advantage in this area ​What Do Other People Say About Software Engineers vs Data EngineersSome experts try to put a stricter definition on software engineers and data engineers and see fewer overlapping skills They may base their conclusions on what coding languages each engineer type uses and on other criteria that really do not hold up For instance while software engineers might use C more often data engineers certainly use it in their duties too There is no point in creating artificial boundaries between the two careers The job definitions should be based on reality and not theory ConclusionThe duties of data engineers and software engineers overlap especially in smaller companies But there are tangible differences between the two For instance data engineers generally work with Dragon Drop coding and data visualization You will probably be coding but not nearly as much as a software engineer But as a data engineer you can lean more toward a software engineer s role and end up doing lots of data pipeline coding You will not be dealing with many infrastructure and core data layers however You may be a data engineer who focuses on BI work and modeling and not software engineering In that case you will be the more traditional data engineer who moves data from point A to point B You will be concerned with data warehousing ETLs ELTs and data lakes And with the many advanced software programs out now you simply will not have to work with as much coding In larger companies data engineers focus on data pipelines but in smaller businesses data engineers do more software engineering in order to develop these pipelines Also you will often place your logic in code on the SQL side while software engineers place it far upstream In short your duties as a data engineer vs software engineer largely depend on your employer Thanks for reading If you want to read more about data consulting big data and data science then click below Realities Of Being A Data EngineerDeveloping A Data Analytics Strategy For Small Businesses And Start ups SQL Concepts You Need To Know Before Your Next Data Science Or Data Engineering InterviewHow To Improve Your Data Driven StrategyWhat Is A Data Warehouse And Why Use ItMistakes That Are Ruining Your Data Driven Strategy Great Libraries To Manage Big Data With PythonWhat Is A Data Engineer	2021-05-01 22:13:42
海外科学	NYT > Science	How to Watch SpaceX Splashdown With 4 Astronauts	https://www.nytimes.com/2021/05/01/science/nasa-spacex-landing.html	resilience	2021-05-01 22:41:31
ニュース	BBC News - Home	US and Nato start to formally withdraw troops from Afghanistan	https://www.bbc.co.uk/news/world-us-canada-56955702	taliban	2021-05-01 22:06:30
ニュース	BBC News - Home	The Papers: 'Three steps to normal life'	https://www.bbc.co.uk/news/blogs-the-papers-56959898	possible	2021-05-01 22:39:36
ニュース	BBC News - Home	Selby & Murphy to meet in final after fine comebacks	https://www.bbc.co.uk/sport/snooker/56952295	bingham	2021-05-01 22:14:29
ニュース	BBC News - Home	El Ghazi strikes late Villa winner to severely dent Everton's European hopes	https://www.bbc.co.uk/sport/football/56869464	El Ghazi strikes late Villa winner to severely dent Everton x s European hopesEverton boss Carlo Ancelotti says his side missed a big opportunity to stay in the fight for a finish in the European places with defeat to Aston Villa	2021-05-01 22:16:40
ニュース	BBC News - Home	Taylor edges Jonas in stunner to retain world titles	https://www.bbc.co.uk/sport/boxing/56959383	natasha	2021-05-01 22:36:27
ビジネス	ダイヤモンド・オンライン - 新着記事	三井物産（8031）、2期連続の「増配」を発表して、 配当利回り3.90％に！ 年間配当額は2年で12％増加、 2022年3月期は前期比5円増の｢1株あたり90円｣に！ - 配当【増配・減配】最新ニュース！	https://diamond.jp/articles/-/270166	三井物産、期連続の「増配」を発表して、配当利回りに年間配当額は年で増加、年月期は前期比円増の「株あたり円」に配当【増配・減配】最新ニュース三井物産が期連続の「増配」を発表し、配当利回りがに三井物産は年月期の配当予想を「株あたり円」と発表し、前期比「円」の増配で「期連続増配」の見通しとなった。	2021-05-02 07:05:00