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JANE ETL – SMF Parser<\/strong><\/h2>\n

Mainframe-Daten<\/strong><\/h3>\n

Mainframe Logs<\/a> kommen als komplexe und verschachtelte Bin\u00e4rdaten daher, die ohne passende Verarbeitungsanleitung nicht oder nur schwer nutzbar gemacht werden k\u00f6nnen. F\u00fcr ihre Verarbeitung in JANE<\/a>\u00a0kommen spezialisierte SMF-Parser zum Einsatz, die auf die jeweilige Quelle abgestimmt sind.
JANE erkennt den Datentyp und stellt automatisch den passenden Parser f\u00fcr die Verarbeitung bereit.
Die Aufbereitung der Mainframe-Daten kann zyklisch – auch mehrfach t\u00e4glich – stattfinden und dauert nur wenige Minuten. Das versetzt JANE in die Lage, die Daten in Neartime zu verarbeiten <\/strong>und f\u00fcr Auswertungen wie Performance- oder Fehleranalysen verf\u00fcgbar zu machen.<\/p>\n

Dadurch k\u00f6nnen unserer Kunden die Mainframe-Daten neben dem klassischen Reporting sogar als Grundlage f\u00fcr Monitoring-Instrumente wie Dashboards <\/strong>nutzen.<\/p>\n

Mehr als 50 SMF-Datentypen in JANE verf\u00fcgbar<\/strong><\/h3>\n

Stand heute unterst\u00fctzt JANE schon mehr als 50 Parser f\u00fcr SMF und weitere Standard-Datentypen<\/a>. Unter anderem k\u00f6nnen DB2, CICS, MQ, TASK (SMF 30), WLM (SMF 72), IMS, IMF und viele mehr gelesen sowie relational verf\u00fcgbar gemacht werden.<\/p>\n

Die vollst\u00e4ndige Liste aller unterst\u00fctzter Datentypen finden Sie hier<\/a>.<\/u><\/p>\n

Realtime-Datafeeds<\/strong><\/h3>\n

Auch die Verarbeitung von Realtime-Datafeeds ist mit JANE m\u00f6glich. Hierzu k\u00f6nnen beispielsweise RMF-Daten direkt vom Distributed Data Server (DDS)<\/a> gesammelt werden.
Daf\u00fcr nutzt JANE die HTTP-API des DDS und kann so unter anderem die Performance-Daten des RMF Monitor III direkt verarbeiten.<\/p>\n

Modulares Konzept<\/strong><\/h3>\n

Die Parser sind das Herzst\u00fcck bei der Datenaufbereitung mit JANE. Sie sind auf die Verarbeitung bestimmter Datentypen spezialisiert und k\u00f6nnen bei Bedarf flexibel erweitert werden, wenn zu Beispiel weitere Datensatztypen ausgewertet werden sollen. Mit jeder Integration weiterer Parser wachsen die M\u00f6glichkeiten f\u00fcr unsere Kunden, Mainframe-Daten f\u00fcr ihren Informationsbedarf nutzbar zu machen.<\/p>\n

Performance<\/strong><\/h3>\n

Um die Leistungsf\u00e4higkeit der JANE-Parser und des gesamten Systems zu verdeutlichen, sind in der folgenden Tabelle verarbeitete Datens\u00e4tze sowie deren Laufzeit pro Tag aus einem realen Kundensystem dargestellt.<\/p>\n

 <\/p>\n\n\n\n\n\n\n
Typ<\/td>\nAnzahl verarbeitete Records pro Tag *<\/td>\nGesamtlaufzeit des Parsers<\/td>\n<\/tr>\n
IMS<\/td>\n55 Mio.<\/td>\n233 Minuten<\/td>\n<\/tr>\n
CICS<\/td>\n82 Mio.<\/td>\n346 Minuten<\/td>\n<\/tr>\n
DB2<\/td>\n110 Mio.<\/td>\n452 Minuten<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

* Laufzeit abh\u00e4ngig von der eingesetzten Hardware und gew\u00e4hlter Konfiguration.<\/em><\/p>[\/et_pb_text][\/et_pb_column][\/et_pb_row][\/et_pb_section]\n","protected":false},"excerpt":{"rendered":"

JANE ETL – SMF Parser Mainframe-Daten Mainframe Logs kommen als komplexe und verschachtelte Bin\u00e4rdaten daher, die ohne passende Verarbeitungsanleitung nicht oder nur schwer nutzbar gemacht werden k\u00f6nnen. F\u00fcr ihre Verarbeitung in JANE\u00a0kommen spezialisierte SMF-Parser zum Einsatz, die auf die jeweilige Quelle abgestimmt sind.JANE erkennt den Datentyp und stellt automatisch den passenden Parser f\u00fcr die Verarbeitung […]<\/p>\n","protected":false},"author":3,"featured_media":1943,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_et_pb_use_builder":"on","_et_pb_old_content":"","_et_gb_content_width":"","footnotes":""},"categories":[17],"tags":[],"class_list":["post-1806","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-technischer-blog"],"yoast_head":"\nJANE Mainframe SMF-Parser - Software made in Switzerland<\/title>\n<meta name=\"description\" content=\"JANE nutzt Parser zur Verarbeitung von Mainframe-Daten. 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