みゆっき☆Think#10 チーム開発〜脱ぼっちマインド〜

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The document discusses version control systems (VCS) like Git. It explains what a VCS is, how it works, and why it is useful. Specifically, it covers how Git allows developers to collaborate on software projects by managing changes to source code over time through committing and branching functionality. The document also promotes an open source project on GitHub called tddbc as an example of using a VCS and provides a link to its code repository.

Technology Business

via @kwappa

what,how, Cover
why &Modify

https://github.com/kwappa/
tddbc/tree/master/dwtddbc01

日本社会心理学会第57回大会でのポスター発表資料です。 ◆発表論文原稿からの追記/修正点◆ (1)予備調査のデータを追記しています (2)データの一部に誤りがあったので修正しています（本調査-結果）「邦訳版ストレスマインドセット尺度の信頼性・妥当性の検討」〇大久保慧悟（ディップ株式会社）・竹橋洋毅(関西福祉科学大学）【お問合せ】 ke-okubo@dip-net.co.jp　

2016年4月【Druvaソリューションアップデートセミナー】クラウド専業インテグレーターが考える次世代のデータ保護

Serverworks Co.,Ltd.

2016年4月21日 Druvaソリューションアップデートセミナー http://druva-japan.connpass.com/event/28473/ 『クラウド専業インテグレーターが考える次世代のデータ保護』 ---------- セコイア・キャピタルからも出資を受け米国シリコンバレーで最も急速に成長している次世代データ保護/カバナンスソリューションを提供するスタートアップ企業であるDruva（ドゥルーバ）社創業者兼CEOのJaspreet Singh氏とビシネスバートナー各社様から、Druva社ソリューションのアップデートをご説明するセミナーが丸の内コンファレンスセンターで開催されました。クラウドインテグレーターが考える次世代のデータ保護について、Druvaの具体的な活用方法を混じえながら、当社の松本がお話しいたしました。

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今月号も、2016年の12月と前年の12月の2ヶ月間の景気ウオッチャーのプロフィールデータをプールしたデータで、景気観を俯瞰した。主な結果は、前年同月と比べて、ほぼすべての地域、ほぼすべての業種で、景気は改善しており、これは、前月11月の結果のトレンドをキープしていると言える。とはいえ、景気の判断指標としての今年の12月のＤＩは、49.8で、中立感である50ポイントに届いていない。景気観は、気温感と同様、比較時点の取り方で変わる。本来、景気ウオッチャー調査は、“3ヶ月前との比較で”訊いているのだが、内閣府の分析やメディアは、同年の対前月比を気にしている。一方、ウオッチャーは、前年との比較で応えている人が多い。例えば、昨年の12月の“暖冬による衣料関係の落ち込み現象”は今年の12月には見られない。景気観を少し引いて3年間で見ると、2014年の消費増税の5％から8％への60％の大幅アップは、決定的で長期的なネガティブな影響をもたらしていることが、時系列ヒートマップ（Ｐ.6）から見える。また、九州の熊本地震や、消費税の繰延などのネガティブ要因や、北海道や中国、沖縄等の昨年末のインバウンド効果や、北陸新幹線効果、プレミアム商品券効果など一過性のポジティブ要因が見える。こうした短期的視点と長期的視点とから見る必要があるが、いわば短期的イベント効果を捨象した年間平均の指標を対前年度で比較すると、まだ直近の12月までの年間平均値は、-4.8ポイントと大きく落ち込んだままである。（ｐ6）景気ウオッチャーは、各地域別・業種別・時点別の3種のウオッチャー属性と、景気動向判断、その理由文章、市場変動要因の3種の判断属性との、いわば総合的な多次元相関関係を“連環性”として情報圧縮し、4クラスタ化しその構成から要因間の関連性を分析している。生活者の消費ニーズに応えるいわば現場からの声である。地域的には、大きく言えば、西高東低である。しかし、業種別には、かなり系統的な変化の構造が見えてきたように思われる。業種としては、物販関係にくらべサービス関係が良く、一般流通関係ではバラツキが大きいが、百貨店やショッピングセンタ等の大規模型に比べ、コンビニ等の分散型が良い。とくに百貨店や商店街はいわば構造不況業種である。物販でも衣料、食料など生活必需品を切り詰めている様子が見られる。一方、自動車や建築等の高額品が、意外に金利の低下でも一時的には好転が見られても継続性がなく、楽観できない。この社会情報天気図の目的は、イノベーションのための示唆を得ることである。なぜ消費が伸びないのか、そのバウンダリーコンデションは何か、という基本的な問に応えるために現状のリアルファクトを理解することである。

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