Deliver Workload Automation for the App Developer

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.
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Workload Automation – From Application Development to Digital Service Delivery

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.
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Workload Automation – From Application Development to Digital Service Delivery

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.
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Integrate Big Data into Business Processes and Enterprise Systems

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
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Integrate Big Data into Business Processes and Enterprise Systems

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
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Workload Change: The 70 Percent of Your Business DevOps Forgot

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. 
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Workload Change: The 70 Percent of Your Business DevOps Forgot

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. 
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Get Big Data into Production at the Speed of Business

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
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Get Big Data into Production at the Speed of Business

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
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Align your IT Infrastructure with the Demands of your Customer Base

Finding a technology partner that understands your customers is crucial to success. When Linedata, a financial software and services provider, launched its new SaaS offering, it needed a world-class data center, and a trusted network carrier to connect clients to the product. But serving clients in the investment management and leasing and lending markets, Linedata knew it was also critical that their partner understand the unique and demanding requirements of the financial industry.

After evaluating numerous vendors, Linedata chose CenturyLink Technology Solutions – which had everything it needed and more. CenturyLink met all three of Linedata’s core criteria, having strong security compliance, a reliable global network and a deep understanding of the financial industry.

Read “Linedata Launches SaaS-Based Offering and Expands Global Reach with Markets Infrastructure” now, and learn how Linedata partnered with CenturyLink to expand its product offerings and achieve a global presence.

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Managing the Big Data Journey: What’s Most Important to IT Today

As businesses struggle to manage the deluge of data, the demand for extracting actionable information from myriad data sources grows in concert with the volume, variety, and velocity of data entering the enterprise. Big Data solutions promise to bring order and value to this tidal wave of information. These solutions must enable users and lines of business (LOBs) to use this information both effectively and efficiently. As your organization wrestles with how best to plan for and deploy Big Data, there are four essential steps that must be completed before setting out on the path toward Big Data analytics. Download the Pulse paper to learn more.
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Acquia Lift: Personalization in Drupal

The days of “one-size-fits-all” marketing are over, and hyper-personalization is the new norm. Digital marketers and site owners are being asked to do more with less to engage customers, segment their audience, and offer highly tailored content. Acquia Lift provides the right content, at the right time through automation that serves the most relevant content to the site visitor.
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Five Key Elements of Complete IT Compliance

Ensuring complete compliance with regulatory requirements and best practices grows more challenging every day. Security and compliance teams need to move fast to reduce risk, but run into conflicts with under-resourced operations teams attempting to control change—leading to a SecOps gap between audit and remediation. Read this eBook and learn more about reducing the SecOps gap and how you can make even the most complex and dynamic IT infrastructure fully secure and compliant.
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