Integrieren Sie Ihrer Big Data Initiativen in Ihre Unternehmensweiten Geschäftsprozesse. Gerne machen wir Sie damit vertraut, wie sie mit Control-M für Hadoop die Anwendungsentwicklung beschleunigen und die Unternehmensintegration vereinfachen können.
Besprochene Themen schließen folgende Punkte ein:
* Wie kann sichergestellt werden, dass Sie aus ihren Big Data Initiativen den gewünschten Mehrwert erhalten.
* Wie können Sie mit Ihren Big Data initiativen sich den administrativen Herausforderungen & Bedürfnissen stellen und mögliche Konfrontationen erfolgreich meistern.
* Wie können Sie mit einem Enterprise Scheduler für Hadoop, weitere Automationsinseln vermeiden.

“Intégration du Big Data dans les processus métiers et le système d’information de l’entreprise“ Vous pourrez découvrir comme créer un maximum de valeur avec une bonne approche du Big Data pour votre entreprise. Les sujets évoqués sont :

• Comment s’assurer que votre projet Big Data vous apportera toute la valeur souhaitée pour votre activité
• Que chacun de vos projets Big Data réponde à vos challenges métiers
• L’importance d’avoir une bonne approche des processus de batchs pour Hadoop

These are exciting times for enterprise application developers, as companies challenge them to build solutions that better exploit mobile devices, cloud infrastructures, sensor networks, big data, and APIs for widely used services such as Facebook and Gmail. Application development, however, isn't all intellectual exhilaration. It has its pain points, too, such as the toil that goes into creating and modifying batch workload jobs. This paper explores how app developers can use automation to deal with batch application workflows.

These are exciting times for enterprise application developers, as companies challenge them to build solutions that better exploit mobile devices, cloud infrastructures, sensor networks, big data, and APIs for widely used services such as Facebook and Gmail. Application development, however, isn't all intellectual exhilaration. It has its pain points, too, such as the toil that goes into creating and modifying batch workload jobs. This paper explores how app developers can use automation to deal with batch application workflows.

This paper, "Workload Automation – From Application Development to Digital Service Delivery," describes how a workload automation solution can eliminate the manual processes developers now use to define batch workflows and communicate them to schedulers.By extending the use of workload automation to developers, organizations can implement applications faster, slash costs, and increase service quality.

This paper, "Workload Automation – From Application Development to Digital Service Delivery," describes how a workload automation solution can eliminate the manual processes developers now use to define batch workflows and communicate them to schedulers.By extending the use of workload automation to developers, organizations can implement applications faster, slash costs, and increase service quality.

In the paper, “Integrate Big Data into Your Business Processes and Enterprise Systems” you’ll learn how to drive maximum value with an enterprise approach to Big Data. Topics discussed include:

• How to ensure that your Big Data projects will drive clearly defined business value
• The operational challenges each Big Data initiative must address
• The importance of using an enterprise approach for Hadoop batch processing

In the paper, “Integrate Big Data into Your Business Processes and Enterprise Systems” you’ll learn how to drive maximum value with an enterprise approach to Big Data. Topics discussed include:

• How to ensure that your Big Data projects will drive clearly defined business value
• The operational challenges each Big Data initiative must address
• The importance of using an enterprise approach for Hadoop batch processing

Organizations that have successfully integrated workload automation (WLA) into their software development lifecycle have seen substantial benefits. So why is WLA, also referred to as job scheduling or batching processing, largely missing from the DevOps discussion? Adding WLA early in the development process ensures that the benefits of DevOps accrue for all applications, including your batch services.  This paper explores the benefits in greater detail and explores possible ways to remedy the situation. 

Organizations that have successfully integrated workload automation (WLA) into their software development lifecycle have seen substantial benefits. So why is WLA, also referred to as job scheduling or batching processing, largely missing from the DevOps discussion? Adding WLA early in the development process ensures that the benefits of DevOps accrue for all applications, including your batch services.  This paper explores the benefits in greater detail and explores possible ways to remedy the situation. 

In this paper, learn how workload automation can help you adopt, manage, and exploit Hadoop effectively and meet enterprise requirements for self-service, compliance, forecasting, SLAs, and more. Find out how to:

• Build out your Hadoop environment more quickly and minimize complexity
• Test Hadoop projects efficiently with production data from diverse sources
• Avoid the expense and risk of scripting
• Maintain visibility, control, and compliance for applications in Hadoop

In this paper, learn how workload automation can help you adopt, manage, and exploit Hadoop effectively and meet enterprise requirements for self-service, compliance, forecasting, SLAs, and more. Find out how to:

• Build out your Hadoop environment more quickly and minimize complexity
• Test Hadoop projects efficiently with production data from diverse sources
• Avoid the expense and risk of scripting
• Maintain visibility, control, and compliance for applications in Hadoop

Learn how BMC Control-M for Hadoop allows IT to extract value from big data, with clear visibility, predictability and increased productivity and efficiency.

Learn how BMC Control-M for Hadoop allows IT to extract value from big data, with clear visibility, predictability and increased productivity and efficiency.