JP2016519810A5 - - Google Patents

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JP2016519810A5
JP2016519810A5 JP2016503110A JP2016503110A JP2016519810A5 JP 2016519810 A5 JP2016519810 A5 JP 2016519810A5 JP 2016503110 A JP2016503110 A JP 2016503110A JP 2016503110 A JP2016503110 A JP 2016503110A JP 2016519810 A5 JP2016519810 A5 JP 2016519810A5
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  1. 第1のデータソースから取り出したオブジェクトの累積スキーマを動的に作成するように構成されたスキーマ推論モジュールであって、
    前記取り出したオブジェクトのそれぞれは、(i)データと、(ii)前記データを記述するメタデータと、を含み、
    前記累積スキーマの動的作成は、前記取り出したオブジェクトの各オブジェクトについて、(i)前記オブジェクトからスキーマを推論することと、(ii)前記推論されたスキーマに従って前記オブジェクトを記述するように、前記累積スキーマを選択的に更新することと、を含む、推論モジュールと、
    前記累積スキーマに従って、前記取り出したオブジェクトの前記データをデータ宛先システムに出力するように構成されたエクスポートモジュールと、
    を備えるデータ変換システム。
  2. 前記データ宛先システムは、データウェアハウスを含む、請求項1に記載のデータ変換システム。
  3. 前記データウェアハウスは、関係データを記憶する、請求項2に記載のデータ変換システム。
  4. 前記エクスポートモジュールは、前記累積スキーマを関係スキーマに変換し、前記関係スキーマに従って、前記取り出したオブジェクトの前記データを前記データウェアハウスに出力するように構成された、請求項3に記載のデータ変換システム。
  5. 前記エクスポートモジュールは少なくとも1つの、
    前記関係スキーマに行われた変更を反映するよう前記データウェアハウスのスキーマを更新するようにという前記データウェアハウスに対するコマンドを生成すること、
    前記関係スキーマに従って、前記取り出したオブジェクトの前記データから少なくとも1つの中間ファイルを作成すること、
    を実行するように構成され、
    前記少なくとも1つの中間ファイルは、所定のデータウェアハウスフォーマットを有し、
    たとえば、前記エクスポートモジュールは、前記少なくとも1つの中間ファイルを前記データウェアハウスにバルクロードするように構成された、請求項4に記載のデータ変換システム。
  6. 前記取り出したオブジェクトから前記データをカラム形式で記憶するように構成されたインデックスストアをさらに備える、請求項1〜5のいずれか1項に記載のデータ変換システム。
  7. 前記エクスポートモジュールは、前記インデックスストアの前記記憶されたデータから、ローベースのデータを生成するように構成された、請求項6に記載のデータ変換システム。
  8. 前記スキーマ推論モジュールは、時間値を前記取り出したオブジェクトの識別子にマップする時間インデックスを、前記インデックスストアに作成するように構成され、
    たとえば、前記取り出したオブジェクトの各取り出したオブジェクトについて、前記時間値は、(i)前記取り出したオブジェクトの作成に対応するトランザクション時間と、(ii)前記取り出したオブジェクトに対応する有効時間の少なくとも1つを表す、請求項6または7に記載のデータ変換システム。
  9. (i)後に前記インデックスストアに記憶するために、追加のオブジェクトをキャッシュし、かつ、(ii)前記キャッシュのサイズが閾値に達したことに応答して前記インデックスストアにバルクロードするために、前記追加のオブジェクトをパッケージ化するように構成される書き込み最適化ストアをさらに備える、請求項6〜8のいずれか1項に記載のデータ変換システム。
  10. 前記スキーマ推論モジュールは:
    前記取り出したオブジェクトの前記メタデータ、
    前記取り出したオブジェクトのデータ型、
    の少なくとも1つに関する統計を収集するように構成され、
    たとえば、前記スキーマ推論モジュールは、データ型に関する統計に応答して、前記取り出したオブジェクトの一部の前記データを型変換するように構成され、
    そして/または、前記取り出したオブジェクトの一部の前記データを、不正確に型付けされている可能性があるとして、ユーザに報告するように構成され、
    前記取り出したオブジェクトの前記データ、たとえば、前記統計は、最低、最大、平均、及び、標準偏差の少なくとも1つを含む、請求項1から9のいずれか1項に記載のデータ変換システム。
  11. 前記第1のデータソースから関係データを受信し、かつ、前記スキーマ推論モジュールが使用する前記オブジェクトを生成するよう構成されたデータコレクタモジュールをさらに含み、
    たとえば、前記データコレクタモジュールは、(i)前記関係データの各項目を取り出すためのテーブルを示す第1のカラムと、(ii)前記関係データの各項目に関連付けられたタイムスタンプを示す第2のカラムと、を作成することによって、前記関係データをイベント化するように構成された、請求項1〜10のいずれか1項に記載のデータ変換システム。
  12. 所定の依存情報に従って、前記スキーマ推論モジュールと前記エクスポートモジュールにジョブの処理を割り当てるように構成されたスケジューリングモジュールをさらに備える、請求項1から11のいずれか1項に記載のデータ変換システム。
  13. 前記エクスポートモジュールは、前記累積スキーマを複数のテーブルにパーティション化するように構成され、前記複数のテーブルの各テーブルは、前記取り出したオブジェクトに一緒に現れるカラムを含み、
    たとえば、前記エクスポートモジュールは、前記取り出したオブジェクトの対応するグループであって、それぞれ、識別子要素について異なる値を有するグループ、にあるカラムに従って、前記累積スキーマをパーティション化するように構成された、請求項1〜12のいずれか1項に記載のデータ変換システム。
  14. 前記スキーマ推論モジュールは、前記取り出したオブジェクトのそれぞれについて、ソース識別子を記録し、
    たとえば、前記取り出したオブジェクトの各オブジェクトについて、前記ソース識別子は、前記第1のデータソースの固有の識別子と、前記第1のデータソース内の前記オブジェクトの位置と、を含む、請求項1〜13のいずれか1項に記載のデータ変換システム。
  15. データ分析システム操作方法であって、
    各オブジェクトが(i)データと、(ii)前記データを記述するメタデータと、を含むオブジェクトをデータソースから取り出すことと、
    前記取り出したオブジェクトの各オブジェクトについて、
    (i)前記オブジェクトの前記メタデータと、前記オブジェクトの前記データの要素の推論されたデータ型とに基づいて、前記オブジェクトからスキーマを推論することと、
    (ii)(a)前記推論されたスキーマが記述する前記オブジェクトと、(b)累積スキーマが記述する累積したオブジェクトのセットと、の両方を記述する統合スキーマを作成することと、
    (iii)前記統合スキーマを前記累積スキーマとして記憶することと、によって、
    前記累積スキーマを動的に作成することと、
    前記取り出したオブジェクトのそれぞれの前記データをデータウェアハウスにエクスポートすることと、
    を含む方法。
JP2016503110A 2013-03-15 2014-03-14 半構造データのためのスケーラブルな分析プラットフォーム Active JP6416194B2 (ja)

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