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Hadoop began its journey by proving its worth as a Spartan but highly scalable data platform for reporting and analytics in Internet firms and other digital organizations. The journey is now taking Hadoop into a wider range of industries, use cases,...

Die kombinierten Kräfte von technischen Innovationen, veränderten Kundenpräferenzen und einer Phase des verlangsamten Wirtschaftswachstums haben einen tiefgreifenden Wandel im Handel hervorgerufen. Für Einzelhändler kann Apache Hadoop ein mächtiges...

Intelligent Business Strategies Director and big data consultant, Mike Ferguson, reviews in this white paper the current and emerging big data technologies, and presents 10 key requirements for big data analytics success.

By now it’s become fairly clear that big data represents a big shift in the enterprise technology landscape. IDC estimates that the amount of useful data worldwide will increase 20x between 2010 and 2020, while 77% of the data relevant to enterprises...

Few industries depend as heavily on data as financial services. Banks and insurance companies aggregate, price and distribute capital with the aim of increasing their return on assets with an acceptable level of risk. To stay competitive, they need...

The combined forces of technological innovation, changing consumer preferences and a prolonged period of slow economic growth are driving rapid changes in the retail industry. For retailers, Apache Hadoop can be a powerful tool for responding to that...

Executive Summary


In today’s data-rich world, insight overlooked translates into opportunity missed. The opportunities afforded by the age of Big Data have given rise to the Data-First Enterprise, a new, ultra-competitive breed of business that...

Apache™ Hadoop® didn’t disrupt the datacenter, the data did.


Shortly after Corporate IT functions within enterprises adopted large scale systems to manage data then the Enterprise Data Warehouse (EDW) emerged as the logical home of all enterprise...

Aus dem Inhalt:

  • Beschreibung des Unternehmens
  • Auslöser und Ziele des Projektes und der BI-Anwendung
  • Projektablauf und Betrieb
  • Maßnahmen zur Erhöhung der BI-Agilität
  • Erfahrungen und Erfolgsfaktoren

    (Umfang: 16 Seiten)

Die adäquate Betreuung von herzschwachen Patienten benötigt enorme Ressourcen und stellt für das Gesundheitswesen eine erhebliche finanzielle Belastung dar. Mit professioneller Datenanalyse und -auswertung lassen sich Güte und Effizienz medizinischer...