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[...e.target.classList];\r\nconsole.log(targetClassesArr);\r\nif (targetClassesArr.includes('share-icon--linkedin')) {\r\nconst shareURL = `https://www.linkedin.com/sharing/share-offsite/?url=${pageURL}`;\r\nwindow.open(shareURL, '_blank');\r\n}\r\nif (targetClassesArr.includes('share-icon--facebook')) {\r\nconst shareURL = `http://www.facebook.com/sharer/sharer.php?u=${pageURL}`;\r\nwindow.open(shareURL, '_blank');\r\n}\r\nif (targetClassesArr.includes('share-icon--twitter')) {\r\nconst shareURL = `https://twitter.com/intent/tweet?url=${pageURL}`;\r\nwindow.open(shareURL, '_blank');\r\n}\r\nif (targetClassesArr.includes('share-icon--email')) {\r\nconst shareURL = `mailto:?subject=Check out this news from Snowflake&body=${pageURL}`;\r\nwindow.open(shareURL);\r\n}\r\n\r\n\r\n\r\n\r\n\r\n});",":type":"snowflake-site/components/markup-editor","isGSAPEnabled":false}},":itemsOrder":["markup_editor"]}},":itemsOrder":["container_949147658"]},"cq:LiveSyncConfig":{"cq:isDeep":true,"cq:rolloutConfigs":[],"cq:master":"/content/experience-fragments/snowflake-site/language-masters/ja/site/share-icons/share-icons",":type":"cq:LiveCopy"}},":itemsOrder":["root","cq:LiveSyncConfig"],"classNames":"aem-xf","appliedCssClassNames":"snowflake-responsive-component-top-padding-extra-small"}},":itemsOrder":["text","experiencefragment"]},"flexible_column_content_container_2":{"layout":"SIMPLE","id":"fundamentals-main-content",":type":"snowflake-site/components/flexible-column-container/flexible-column-content-container","appliedCssClassNames":"snowflake-responsive-container-inner-padding-large",":items":{"container":{"gridClassNames":"aem-Grid aem-Grid--12 aem-Grid--default--12","columnClassNames":{"title_v2":"aem-GridColumn aem-GridColumn--default--12","text":"aem-GridColumn aem-GridColumn--default--12"},"layout":"RESPONSIVE_GRID","columnCount":12,"id":"overview",":type":"snowflake-site/components/container","appliedCssClassNames":"snowflake-responsive-container-inner-padding-extra-small",":items":{"title_v2":{"id":"title-v2-359981afff","type":"heading2","lines":["概要"],":type":"snowflake-site/components/title-v2"},"text":{"id":"text-be7a17d732","text":"\u003Cp\u003Eモダンエンタープライズでは、多くの場合、データはクラウドストレージ、オンプレミスデータセンター、SaaSプラットフォーム、IoTデバイスなど、分断された広範なシステムに分散しています。データ統合とは、異なるソースのデータを一元化し、分析やビジネス意思決定に活用できるようにするプロセスです。適切に統合されたデータ戦略は、データの可視性、一貫性、制御を強化することで業務効率を改善し、コンプライアンスの取り組みをサポートします。また、広範なデジタルトランスフォーメーションイニシアチブの一環として\u003Ca href=\"https://www.snowflake.com/ja/fundamentals/ai-models/\"\u003EAIモデル\u003C/a\u003Eを開発および展開するためのより強力な基盤も提供します。\u003C/p\u003E\n\u003Cp\u003Eこのガイドでは、データ統合がどのようなものか、そしてデータを活用して意思決定を促進し、\u003Ca href=\"https://www.snowflake.com/ja/product/features/horizon/\"\u003EAIを活用\u003C/a\u003Eしようとしている企業にとって、データ統合が不可欠な領域である理由を説明します。\u003C/p\u003E\n","richText":true,":type":"snowflake-site/components/text","appliedCssClassNames":"text-color-text-05"}},":itemsOrder":["title_v2","text"]},"container_copy":{"gridClassNames":"aem-Grid aem-Grid--12 aem-Grid--default--12","columnClassNames":{"title_v2":"aem-GridColumn aem-GridColumn--default--12","text":"aem-GridColumn aem-GridColumn--default--12"},"layout":"RESPONSIVE_GRID","columnCount":12,"id":"is",":type":"snowflake-site/components/container","appliedCssClassNames":"snowflake-responsive-container-inner-padding-extra-small",":items":{"title_v2":{"id":"title-v2-c0dcd87e78","additionalClasses":"headline-decoration","type":"heading2","lines":["データの統合とは"],":type":"snowflake-site/components/title-v2","appliedCssClassNames":"snowflake-responsive-component-top-padding-none"},"text":{"id":"text-61f900568d","additionalClasses":"list--blue-bullets","text":"\u003Cp\u003E\u003Ca href=\"https://www.snowflake.com/ja/product/features/openflow/\"\u003Eデータの統合\u003C/a\u003Eは、組織全体で一貫したアクセスと分析を可能にする、異なるソースからのデータを統合されたビューとしてまとめるプロセスです。異なるシステムを接続して\u003Ca href=\"https://www.snowflake.com/en/fundamentals/master-data-management/\"\u003Eデータサイロを解消\u003C/a\u003Eすることで、組織はビジネス情報を包括的に把握できます。データ統合には、データ移行、取り込み、変換などのプロセスが含まれ、企業全体にわたって継続的なデータフローが維持されます。 \u003C/p\u003E\n","richText":true,":type":"snowflake-site/components/text","appliedCssClassNames":"text-color-text-05"}},":itemsOrder":["title_v2","text"]},"container_copy_2060034519":{"gridClassNames":"aem-Grid aem-Grid--12 aem-Grid--default--12","columnClassNames":{"title_v2_copy":"aem-GridColumn aem-GridColumn--default--12","text_copy":"aem-GridColumn aem-GridColumn--default--12"},"layout":"RESPONSIVE_GRID","columnCount":12,"id":"work",":type":"snowflake-site/components/container","appliedCssClassNames":"snowflake-responsive-container-inner-padding-small",":items":{"title_v2_copy":{"id":"title-v2-c6cb16c9ac","additionalClasses":"headline-decoration","type":"heading2","lines":["データの統合が重要な理由"],":type":"snowflake-site/components/title-v2","appliedCssClassNames":"snowflake-responsive-component-top-padding-none"},"text_copy":{"id":"text-c478543fd6","text":"\u003Cp\u003Eデータ統合により、手作業でのデータ入力が不要になり、エラーが減少し、アプリケーション間のワークフローが自動化されるため、業務効率とスピードが向上します。統合がなければ、データの不整合、作業の重複、顧客ニーズへの迅速な対応が難しくなる可能性があります。在庫の確認が必要なセールスチーム、注文データへのアクセスが必要な財務部門、統合レポーティングが必要な経営幹部など、部門横断的なリアルタイムの可視性を必要とする事業運営には、統合されたデータプラットフォームが必要です。データ統合により、予測分析とAIモデルは、データ品質、ガバナンス、適切な実装体制を前提に、組織のテクノロジーエコシステム全体からより包括的で一貫したデータにアクセスできるようになります。\u003C/p\u003E\n","richText":true,":type":"snowflake-site/components/text","appliedCssClassNames":"text-color-text-05 snowflake-responsive-component-bottom-padding-small"}},":itemsOrder":["title_v2_copy","text_copy"]},"container_copy_copy_":{"gridClassNames":"aem-Grid aem-Grid--12 aem-Grid--default--12","columnClassNames":{"container":"aem-GridColumn aem-GridColumn--default--12","container_copy_copy__373061683":"aem-GridColumn aem-GridColumn--default--12","container_copy_copy__1985496925":"aem-GridColumn aem-GridColumn--default--12","container_copy_copy_":"aem-GridColumn aem-GridColumn--default--12","container_copy_copy":"aem-GridColumn aem-GridColumn--default--12","container_copy_copy_259718203":"aem-GridColumn aem-GridColumn--default--12","container_copy_289473020":"aem-GridColumn aem-GridColumn--default--12","container_copy":"aem-GridColumn aem-GridColumn--default--12","container_copy_copy__1190438074":"aem-GridColumn aem-GridColumn--default--12"},"layout":"RESPONSIVE_GRID","columnCount":12,"id":"rel",":type":"snowflake-site/components/container","appliedCssClassNames":"snowflake-responsive-container-inner-padding-extra-small",":items":{"container_copy_copy":{"gridClassNames":"aem-Grid aem-Grid--12 aem-Grid--default--12","columnClassNames":{"title_v2":"aem-GridColumn aem-GridColumn--default--12","text":"aem-GridColumn aem-GridColumn--default--12"},"layout":"RESPONSIVE_GRID","columnCount":12,"id":"use",":type":"snowflake-site/components/container","appliedCssClassNames":"snowflake-responsive-container-inner-padding-extra-small",":items":{"title_v2":{"id":"title-v2-cfee84de4a","additionalClasses":"headline-decoration","type":"heading2","lines":["データ統合の主なメリット"],":type":"snowflake-site/components/title-v2","appliedCssClassNames":"snowflake-responsive-component-top-padding-none"},"text":{"id":"text-33a39f2a21","text":"\u003Cp\u003E綿密に計画されたデータ統合戦略は、企業に以下の複数のメリットをもたらします。\u003C/p\u003E\n\u003Cp\u003E \u003C/p\u003E\n\u003Ch3\u003E一元化された信頼性の高いデータアクセス\u003C/h3\u003E\n\u003Cp\u003Eデータ統合は、複数のシステムからの情報をアクセス可能な1つの場所に統合することで、ガバナンスの確保されたデータのビュー（「信頼できる唯一の情報源」）を確立します。そのため、ステークホルダーは、データ品質とガバナンスの適切な実践が前提として、一貫性のある信頼できる情報から作業できる可能性が高くなります。これにより、どのデータセットが信頼できるのかについての混乱が軽減され、ステークホルダーが同じガバナンスの確保された一貫した情報に基づいて作業できるようになります。\u003C/p\u003E\n\u003Cp\u003E \u003C/p\u003E\n\u003Ch3\u003Eリアルタイムのインサイトによる意思決定の改善\u003C/h3\u003E\n\u003Cp\u003Eリーダーは、リアルタイムまたはニアリアルタイムでシステムを接続することで、古いレポートではなく現在のデータに基づいて情報に基づいた意思決定を行えるようになります。企業は、市場の変化、顧客行動、新たな機会により迅速に対応できます。\u003C/p\u003E\n\u003Cp\u003E \u003C/p\u003E\n\u003Ch3\u003Eデータの品質と一貫性の強化\u003C/h3\u003E\n\u003Cp\u003E統合により、データ標準と検証ルールをシステム全体に適用できるため、サイロ化された環境が抱える重複、エラー、不整合を低減できます。クリーンで一貫したデータはアナリティクスへの信頼を高め、情報の矛盾に起因する高コストのミスを防ぎます。\u003C/p\u003E\n\u003Cp\u003E \u003C/p\u003E\n\u003Ch3\u003E手作業によるデータ処理の削減\u003C/h3\u003E\n\u003Cp\u003E自動化されたデータフローにより、従業員は手動でシステム間でデータのエクスポート、転送、インポートを行う必要がなくなります。これにより、時間の節減とコストの削減が実現するだけでなく、手作業でのデータ入力や操作時に発生する人的エラーも最小化されます。\u003C/p\u003E\n\u003Cp\u003E \u003C/p\u003E\n\u003Ch3\u003Eチームや部門間のコラボレーションの強化\u003C/h3\u003E\n\u003Cp\u003Eすべてのチームが統合されたデータにアクセスすると、サイロが解消され、部門横断的なコラボレーションが向上します。セールス、マーケティング、財務、業務は、孤立して運営するのではなく、共有されたインサイトから作業できます。\u003C/p\u003E\n\u003Cp\u003E \u003C/p\u003E\n\u003Ch3\u003Eクラウド導入とデジタルトランスフォーメーションの加速\u003C/h3\u003E\n\u003Cp\u003E統合プラットフォームは、レガシーオンプレミスシステムとモダンクラウドアプリケーションの間のシームレスな接続を可能にし、デジタルトランスフォーメーションのリスクと複雑さを軽減します。破壊的な「総入れ替え」移行ではなく、段階的なモダナイズが可能です。\u003C/p\u003E\n\u003Cp\u003E \u003C/p\u003E\n\u003Ch3\u003Eコンプライアンスと規制レポーティングの強化\u003C/h3\u003E\n\u003Cp\u003E統合されたシステムは包括的な監査証跡を提供し、組織全体のデータリネージの追跡を容易にします。この統合されたビューは、組織のポリシーと制御に従い、\u003Ca href=\"https://www.snowflake.com/en/fundamentals/data-lineage-provenance/\"\u003Eデータリネージ\u003C/a\u003E、ドキュメント、一貫したレポートの生成機能を改善することで、（GDPR、HIPAA、SOXに関連するプロセスなど）コンプライアンスと監査の準備状況をサポートします。\u003C/p\u003E\n\u003Cp\u003E \u003C/p\u003E\n\u003Ch3\u003E業務効率の向上とコスト削減\u003C/h3\u003E\n\u003Cp\u003Eデータ統合では、冗長システムの排除、ワークフローの合理化、データプロセスの自動化により、ITメンテナンスコストの削減と生産性の向上が実現します。組織は、分断されたシステム間のギャップを埋めるために新しいツールを継続的に追加するのではなく、既存のリソースでより多くのことを実現できます。\u003C/p\u003E\n","richText":true,":type":"snowflake-site/components/text","appliedCssClassNames":"text-color-text-05 snowflake-responsive-component-bottom-padding-small"}},":itemsOrder":["title_v2","text"]},"container_copy_copy_":{"gridClassNames":"aem-Grid aem-Grid--12 aem-Grid--default--12","columnClassNames":{"title_v2":"aem-GridColumn aem-GridColumn--default--12","text":"aem-GridColumn aem-GridColumn--default--12"},"layout":"RESPONSIVE_GRID","columnCount":12,"id":"and",":type":"snowflake-site/components/container","appliedCssClassNames":"snowflake-responsive-container-inner-padding-extra-small",":items":{"title_v2":{"id":"title-v2-f5b8e88c7a","additionalClasses":"headline-decoration","type":"heading2","lines":["データ統合の一般的なユースケース"],":type":"snowflake-site/components/title-v2","appliedCssClassNames":"snowflake-responsive-component-top-padding-none"},"text":{"id":"text-827b3b6e62","text":"\u003Cp\u003E以下をはじめとするさまざまなユースケースがあります。\u003C/p\u003E\n\u003Cp\u003E \u003C/p\u003E\n\u003Ch3\u003E小売\u003C/h3\u003E\n\u003Cp\u003E小売企業は、POSシステム、在庫管理、Eコマースプラットフォーム、サプライチェーンデータを統合します。これにより、在庫レベルのリアルタイムの可視性が確保され、オンラインの顧客体験をパーソナライズできます。\u003C/p\u003E\n\u003Cp\u003E \u003C/p\u003E\n\u003Ch3\u003Eヘルスケア\u003C/h3\u003E\n\u003Cp\u003Eヘルスケア組織は、電子カルテ、ラボシステム、画像データ、請求アプリケーションを統合します。包括的な患者ビューを作成することで、医療機関はケアコーディネーションを改善し、医療ミスを削減して請求処理を合理化できます。\u003C/p\u003E\n\u003Cp\u003E \u003C/p\u003E\n\u003Ch3\u003E金融\u003C/h3\u003E\n\u003Cp\u003E金融機関は、コアバンキングシステム、不正検知プラットフォーム、顧客関係管理ツール、規制レポーティングシステムを統合しています。これにより、リアルタイムの取引モニタリング、パーソナライズされた金融商品、自動化されたコンプライアンスレポーティングが可能になります。\u003C/p\u003E\n\u003Cp\u003E \u003C/p\u003E\n\u003Ch3\u003E製造\u003C/h3\u003E\n\u003Cp\u003E製造企業は、ERPシステム、製造ラインのIoTセンサー、品質管理システム、サプライチェーンプラットフォームからのデータを組み合わせています。その結果、生産スケジュールの最適化、設備メンテナンスの効率化、効果的なジャストインタイム在庫管理が実現します。\u003C/p\u003E\n\u003Cp\u003E \u003C/p\u003E\n\u003Ch3\u003Eマーケティング\u003C/h3\u003E\n\u003Cp\u003E統合された顧客プロファイルを作成するために、マーケティングチームはCRMアプリケーション、Eメールシステム、ソーシャルメディア、ウェブアナリティクス、広告プラットフォームのデータを統合しています。これにより、パーソナライズされたマーケティングキャンペーンを開始し、すべてのチャネルにわたってROIをより正確に測定できるようになりました。\u003C/p\u003E\n\u003Cp\u003E \u003C/p\u003E\n\u003Ch3\u003E物流と輸送\u003C/h3\u003E\n\u003Cp\u003E物流企業は、GPS追跡システム、ウェアハウス管理プラットフォーム、ルート最適化ツール、顧客提供ポータルを統合しています。リアルタイムの出荷可視化、配送ルートの最適化、サプライチェーン全体での顧客コミュニケーションの強化などがメリットです。\u003C/p\u003E\n","richText":true,":type":"snowflake-site/components/text","appliedCssClassNames":"text-color-text-05 snowflake-responsive-component-bottom-padding-small"}},":itemsOrder":["title_v2","text"]},"container_copy_copy_259718203":{"gridClassNames":"aem-Grid aem-Grid--12 aem-Grid--default--12","columnClassNames":{"title_v2":"aem-GridColumn aem-GridColumn--default--12","text":"aem-GridColumn aem-GridColumn--default--12"},"layout":"RESPONSIVE_GRID","columnCount":12,"id":"how",":type":"snowflake-site/components/container","appliedCssClassNames":"snowflake-responsive-container-inner-padding-extra-small",":items":{"title_v2":{"id":"title-v2-979925fc68","additionalClasses":"headline-decoration","type":"heading2","lines":["データ統合の仕組み"],":type":"snowflake-site/components/title-v2","appliedCssClassNames":"snowflake-responsive-component-top-padding-none"},"text":{"id":"text-9426be81da","text":"\u003Cp\u003Eデータ統合のプロセスは通常、以下の5つのステップで構成されます。\u003C/p\u003E\n\u003Cp\u003E \u003C/p\u003E\n\u003Ch3\u003E1.ソースの特定\u003C/h3\u003E\n\u003Cp\u003E最初のステップでは、データベース、アプリケーション、API、ファイル、ストリーミングソースなど、組織全体に関連するすべてのデータソースをカタログ化します。このディスカバリーフェーズでは、どのようなデータがあり、それがどこに保存されているのか、ビジネス目標にとって重要なソースを明らかにします。\u003C/p\u003E\n\u003Cp\u003E \u003C/p\u003E\n\u003Ch3\u003E2.生データの収集\u003C/h3\u003E\n\u003Cp\u003E次に、コネクタ、API、データベースクエリ、ファイル転送を使用して、特定されたソースからデータを抽出または取り込みます。この収集プロセスは、ビジネス要件に応じて、リアルタイム（ストリーミング）、ニアリアルタイム（マイクロバッチ）、スケジュールされたバッチで実行できます。\u003C/p\u003E\n\u003Ch3\u003E\u003Cbr\u003E\n3.データの変換\u003C/h3\u003E\n\u003Cp\u003E生データはクレンジング、標準化、エンリッチメントされ、ターゲットシステムやビジネスルールと互換性のある形式に変換されます。変換には、データ品質と一貫性を確保するためのデータタイプの変換、重複排除、検証、集約、ビジネスロジックの適用などがあります。\u003C/p\u003E\n\u003Cp\u003E \u003C/p\u003E\n\u003Ch3\u003E4.ターゲットシステムへのロード\u003C/h3\u003E\n\u003Cp\u003E変換されたデータは、データウェアハウス、データレイク、運用データベース、アナリティクスプラットフォームなどの宛先システムに書き込まれます。ロード戦略には、ターゲットシステムの機能とビジネスニーズに応じて、完全リフレッシュ、増分更新、アップサート（既存のレコードの更新または新しいレコードの挿入）があります。\u003C/p\u003E\n\u003Cp\u003E \u003C/p\u003E\n\u003Ch3\u003E5.アクセスと分析の実現\u003C/h3\u003E\n\u003Cp\u003E最後に、ダッシュボード、レポート、API、クエリインターフェイスを通じて、ロードされたデータをエンドユーザー、アプリケーション、アナリティクスツールが利用できるようになります。この最後のステップにより、ステークホルダーは意思決定、機械学習、運用プロセスのために統合されたデータを簡単に利用できます。\u003C/p\u003E\n","richText":true,":type":"snowflake-site/components/text","appliedCssClassNames":"text-color-text-05 snowflake-responsive-component-bottom-padding-small"}},":itemsOrder":["title_v2","text"]},"container_copy_289473020":{"gridClassNames":"aem-Grid aem-Grid--12 aem-Grid--default--12","columnClassNames":{"title_v2_copy":"aem-GridColumn aem-GridColumn--default--12","text_copy":"aem-GridColumn aem-GridColumn--default--12"},"layout":"RESPONSIVE_GRID","columnCount":12,"id":"equation",":type":"snowflake-site/components/container","appliedCssClassNames":"snowflake-responsive-container-inner-padding-small",":items":{"title_v2_copy":{"id":"title-v2-b20afe874f","additionalClasses":"headline-decoration","type":"heading2","lines":["データ統合ソリューションの種類"],":type":"snowflake-site/components/title-v2","appliedCssClassNames":"snowflake-responsive-component-top-padding-none"},"text_copy":{"id":"text-799f9d98df","text":"\u003Cp\u003Eデータ統合へのアプローチ方法は複数あります。最も一般的なものは次のとおりです。\u003C/p\u003E\n\u003Cp\u003E \u003C/p\u003E\n\u003Ch3\u003EETL（抽出、変換、ロード）\u003C/h3\u003E\n\u003Cp\u003EETLは、ソースシステムからデータを抽出し、ビジネスルールとデータ品質プロセスを使用して必要な形式に変換し、データウェアハウスなどのターゲットシステムにロードします。この従来のアプローチでは、データが宛先に到達する前に別の統合サーバーで変換を実行するため、構造化されたバッチ指向のワークフローに最適です。\u003C/p\u003E\n\u003Cp\u003E \u003C/p\u003E\n\u003Ch3\u003EELT（抽出、ロード、変換）\u003C/h3\u003E\n\u003Cp\u003E\u003Ca href=\"https://www.snowflake.com/ja/fundamentals/understanding-extract-load-transform-elt/\"\u003EELT\u003C/a\u003Eは、ソースからデータを抽出し、そのままの形でターゲットシステム（通常はクラウドデータウェアハウスまたはデータレイク）に直接ロードし、ターゲット環境内で変換を実行します。このモダンアプローチは、クラウドプラットフォームの処理能力を活用しており、特に多様なデータタイプの大量処理に効果的です。\u003C/p\u003E\n\u003Cp\u003E \u003C/p\u003E\n\u003Ch3\u003Eデータ仮想化\u003C/h3\u003E\n\u003Cp\u003Eデータ仮想化は、データを物理的に移動またはコピーすることなく、複数のソースにまたがるデータの統合ビューを作成します。ユーザーは仮想化レイヤーにクエリを実行し、さまざまなシステムからリアルタイムでデータを取得して組み合わせることで、従来の統合プロセスのレイテンシーなしにほぼ即時にアクセスできるようになります。\u003C/p\u003E\n\u003Cp\u003E \u003C/p\u003E\n\u003Ch3\u003Eアプリケーションベースの統合\u003C/h3\u003E\n\u003Cp\u003Eアプリケーションベースの統合は、ソフトウェアベンダーが提供する事前構築されたコネクタまたはネイティブ統合を使用して、特定のアプリケーションを互いに直接接続します。このアプローチにより、CRMなどのシステムとマーケティング自動化プラットフォームの間のシームレスなデータフローが実現し、カスタムコーディングやミドルウェアが不要になります。\u003C/p\u003E\n\u003Cp\u003E \u003C/p\u003E\n\u003Ch3\u003Eミドルウェア統合\u003C/h3\u003E\n\u003Cp\u003Eミドルウェアは、異なるアプリケーションやシステム間の通信やデータ交換を促進する仲介ソフトウェアレイヤーとして機能します。エンタープライズサービスバス（ESB）と統合プラットフォームは、企業全体のデータフローのルーティング、変換、オーケストレーションを行う一般的なミドルウェアソリューションです。\u003C/p\u003E\n\u003Cp\u003E \u003C/p\u003E\n\u003Ch3\u003Eデータレプリケーションと同期\u003C/h3\u003E\n\u003Cp\u003Eデータレプリケーションは、複数のシステムにまたがってデータのコピーを作成して維持することで、一貫性と可用性を確保します。同期は、継続的な更新またはスケジュールされた更新を通じてこれらのコピーを最新の状態に保つことで、分散したシステムが最新の情報を扱えるようにします。\u003C/p\u003E\n\u003Cp\u003E \u003C/p\u003E\n\u003Ch3\u003EAPIドリブンな統合\u003C/h3\u003E\n\u003Cp\u003EAPIドリブンな統合では、アプリケーションプログラミングインターフェイスを使用して、ウェブプロトコルを介したシステム間のリアルタイムの通信とデータ交換を可能にします。この軽量で柔軟なアプローチにより、アプリケーションはオンデマンドでデータのリクエストや共有を行えるため、モダンクラウドアプリケーションやマイクロサービスアーキテクチャに最適です。\u003C/p\u003E\n","richText":true,":type":"snowflake-site/components/text","appliedCssClassNames":"text-color-text-05 snowflake-responsive-component-bottom-padding-small"}},":itemsOrder":["title_v2_copy","text_copy"]},"container_copy_copy__1985496925":{"gridClassNames":"aem-Grid aem-Grid--12 aem-Grid--default--12","columnClassNames":{"title_v2":"aem-GridColumn aem-GridColumn--default--12","text":"aem-GridColumn aem-GridColumn--default--12"},"layout":"RESPONSIVE_GRID","columnCount":12,"id":"why",":type":"snowflake-site/components/container","appliedCssClassNames":"snowflake-responsive-container-inner-padding-extra-small",":items":{"title_v2":{"id":"title-v2-68d55f645d","additionalClasses":"headline-decoration","type":"heading2","lines":["データ統合の課題"],":type":"snowflake-site/components/title-v2","appliedCssClassNames":"snowflake-responsive-component-top-padding-none"},"text":{"id":"text-3d3325430a","text":"\u003Cp\u003Eデータ統合のイニシアチブを効果的に進めるためには、大きなハードルを乗り越える必要があります。以下に、統合を成功させるために、解決が必要となる最も一般的な課題を示します。\u003C/p\u003E\n\u003Cp\u003E \u003C/p\u003E\n\u003Ch3\u003Eデータサイロ\u003C/h3\u003E\n\u003Cp\u003Eデータ統合の成功を阻む最大の障壁はデータサイロです。これは、組織内の各部門がエンタープライズ規模のニーズを考慮せずに独自のデータシステムを選択する場合に生じます。通常、こうしたサイロによって一貫性のないデータやアクセスできないデータが生成され、業務や顧客の全体像の把握が非常に困難になります。\u003C/p\u003E\n\u003Cp\u003E \u003C/p\u003E\n\u003Ch3\u003E統合の複雑さ\u003C/h3\u003E\n\u003Cp\u003Eモダンエンタープライズは、オンプレミスのデータセンター、マルチクラウドプロバイダー、SaaSアプリケーションにまたがって運用されており、それぞれに独自のプロトコル、セキュリティモデル、データ形式があります。こうした異種環境にわたる統合の管理には、認証、ネットワーク接続、データ変換を大規模に処理するための専門知識とツールの使用が必要です。\u003C/p\u003E\n\u003Cp\u003E \u003C/p\u003E\n\u003Ch3\u003Eデータの量と速度の増加\u003C/h3\u003E\n\u003Cp\u003EIoTデバイス、ストリーミングソース、ソーシャルメディア、トランザクションシステムからのデータの爆発的な増加は、大量のデータを生み出し、従来の統合アプローチでは効率的な処理が困難になります。企業はバッチ処理が一晩中完了するのを待つことはできず、インサイトへのほぼ瞬時のアクセスを必要とするため、リアルタイムの要件がこの課題をさらに複雑化させています。\u003C/p\u003E\n\u003Cp\u003E \u003C/p\u003E\n\u003Ch3\u003Eデータセキュリティとコンプライアンスの強化\u003C/h3\u003E\n\u003Cp\u003Eデータがシステムの境界を越えて移動する場合、統合ワークフローは厳格なセキュリティ制御を維持する必要があります。たとえば、転送中と保存中の暗号化、アクセス制御、監査ログなどがあります。GDPR、HIPAA、業界固有の規制などのコンプライアンス要件は、データガバナンス、プライバシー制御、統合されたすべてのシステムにわたるデータリネージの追跡を義務付けることで複雑さを増します。\u003C/p\u003E\n\u003Cp\u003E \u003C/p\u003E\n\u003Ch3\u003Eコストとリソースの制約\u003C/h3\u003E\n\u003Cp\u003Eカスタム統合ソリューションの構築とメンテナンスには、専門の開発者、インフラストラクチャ、継続的なメンテナンスに多大な投資が必要です。多くの組織では、堅牢な統合戦略の実装に必要な予算や技術人材が不足しており、不完全なソリューションを選択するか、重要なデジタルトランスフォーメーションのイニシアチブを先送りするかを迫られています。\u003C/p\u003E\n","richText":true,":type":"snowflake-site/components/text","appliedCssClassNames":"text-color-text-05 snowflake-responsive-component-bottom-padding-small"}},":itemsOrder":["title_v2","text"]},"container_copy":{"gridClassNames":"aem-Grid aem-Grid--12 aem-Grid--default--12","columnClassNames":{"title_v2_copy":"aem-GridColumn aem-GridColumn--default--12","text_copy":"aem-GridColumn aem-GridColumn--default--12"},"layout":"RESPONSIVE_GRID","columnCount":12,"id":"types",":type":"snowflake-site/components/container","appliedCssClassNames":"snowflake-responsive-container-inner-padding-small",":items":{"title_v2_copy":{"id":"title-v2-585eddb8a4","additionalClasses":"headline-decoration","type":"heading2","lines":["高度なデータ統合ツールとソリューション"],":type":"snowflake-site/components/title-v2","appliedCssClassNames":"snowflake-responsive-component-top-padding-none"},"text_copy":{"id":"text-690902bc5e","text":"\u003Cp\u003Eデータ統合スキームには、タスクに特化した多数のツールが必要です。たとえば、以下のいずれかまたはすべてが含まれます。 \u003C/p\u003E\n\u003Cp\u003E \u003C/p\u003E\n\u003Ch3\u003EETL \u003C/h3\u003E\n\u003Cp\u003EETLプラットフォームでは、ソースからデータを抽出し、複雑な変換を適用してターゲットシステムにロードできます。これらのエンタープライズグレードのソリューションは、ビジュアルデザインインターフェイス、事前構築されたコネクタ、データ品質を高めるためのツール、バッチ処理のためのスケジューリング機能を提供します。\u003C/p\u003E\n\u003Cp\u003E \u003C/p\u003E\n\u003Ch3\u003EELT \u003C/h3\u003E\n\u003Cp\u003E\u003Ca href=\"https://www.snowflake.com/ja/fundamentals/understanding-extract-load-transform-elt/\"\u003EELTツール\u003C/a\u003Eは、クラウドデータウェアハウス向けに最適化されており、まず生データをロードしてターゲットプラットフォームの処理能力を活用して変換を行います。これらのモダンソリューションは、スピードとスケーラビリティを優先しているため、ビッグデータのシナリオやクラウドファースト戦略を採用する組織に最適です。\u003C/p\u003E\n\u003Cp\u003E \u003C/p\u003E\n\u003Ch3\u003E変更データキャプチャ（CDC）\u003C/h3\u003E\n\u003Cp\u003ECDCのソリューションは、データセット全体をコピーするのではなく、ソースデータベースの挿入、更新、削除のみをキャプチャします。このアプローチは、システムへの影響を最小限に抑え、データ転送量を削減し、システム間のほぼリアルタイムの同期を可能にします。\u003C/p\u003E\n\u003Cp\u003E \u003C/p\u003E\n\u003Ch3\u003Eデータレプリケーション \u003C/h3\u003E\n\u003Cp\u003Eデータレプリケーションツールは、異なるデータベースやプラットフォーム間で同期された\u003Ca href=\"https://www.snowflake.com/ja/fundamentals/data-sharing-and-integration/\"\u003Eデータ\u003C/a\u003Eコピーを作成して維持します。これらのソリューションは、複数のデータストアを常に最新の状態に保つことで高可用性を確保し、ディザスタリカバリを可能にし、分散アクセスを可能にします。\u003C/p\u003E\n\u003Cp\u003E \u003C/p\u003E\n\u003Ch3\u003Eデータの取り込み \u003C/h3\u003E\n\u003Cp\u003E\u003Ca href=\"https://www.snowflake.com/ja/fundamentals/data-ingestion/\"\u003Eデータ取り込み\u003C/a\u003Eプラットフォームは、多様なソースから大量のデータを収集し、データレイクや処理パイプラインにストリーミングします。これらのプラットフォームは、IoTデバイス、アプリケーション、ログ、センサーからのリアルタイムのデータフィードを高いスループットと信頼性で処理します。\u003C/p\u003E\n\u003Cp\u003E \u003C/p\u003E\n\u003Ch3\u003Eサービスとしての統合プラットフォーム\u003C/h3\u003E\n\u003Cp\u003EクラウドベースのiPaaSソリューションは、広範なインフラストラクチャを必要とせずに、複数のハイブリッド環境にわたってアプリケーション、データ、APIを接続します。これらのプラットフォームは、組み込みのコネクタ、ワークフローの自動化、ローコードまたはノーコードのインターフェイスを提供し、統合の開発と展開を加速します。\u003C/p\u003E\n\u003Cp\u003E \u003C/p\u003E\n\u003Ch3\u003Eデータガバナンス \u003C/h3\u003E\n\u003Cp\u003Eすべての企業は、メタデータやカタログデータを管理し、統合されたシステム全体にわたってそのリネージを追跡するポリシーを確立する必要があります。データガバナンスプラットフォームは、組織全体のデータの流れと変換を可視化することで、データ品質、規制コンプライアンス、適切なスチュワードシップを確保します。\u003C/p\u003E\n\u003Cp\u003E \u003C/p\u003E\n\u003Ch3\u003Eデータ移行 \u003C/h3\u003E\n\u003Cp\u003Eデータ移行ツールは、アップグレード、クラウド移行、システム統合の際に、システム間でデータを1回だけ転送できるようにします。これらの専門ソリューションは、ソース環境の評価、ダウンタイムの最小化、データ精度の検証、ロールバック機能の提供を通じて、移行の成功を保証します。\u003C/p\u003E\n\u003Cp\u003E \u003C/p\u003E\n\u003Ch3\u003EAPI管理 \u003C/h3\u003E\n\u003Cp\u003EAPIは、システム間のリアルタイムのデータ交換を可能にします。API管理プラットフォームは、アプリケーションがデータにアクセスして共有する方法を管理し、認証、レート制限、バージョン管理、アナリティクスを提供して、企業全体にわたってセキュアで信頼性の高いAPIドリブンな統合を実現します。\u003C/p\u003E\n\u003Cp\u003E \u003C/p\u003E\n\u003Ch3\u003Eマスターデータ管理（MDM）\u003C/h3\u003E\n\u003Cp\u003EMDMプラットフォームは、すべてのシステムにわたって、顧客、製品、サプライヤー、場所などの重要なビジネスエンティティの信頼できる単一のバージョンを作成し、維持します。これらのプラットフォームは、データ競合の解決、重複の解消、統合されたシステムによる一貫性のある正確なマスターレコードの参照を可能にするため、データ統合に不可欠です。\u003C/p\u003E\n","richText":true,":type":"snowflake-site/components/text","appliedCssClassNames":"text-color-text-05 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