White Paper
Streamlining Your Data Pipelines: Applying Automation to Streaming Data
Date: 03/23/2018 Length: 7 pages Cost: $99.00

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Data-driven organizations push the envelope as they seek competitive advantage. They look for new, innovative ways to utilize the information they have to lower costs and improve operational efficiency and customer experience. This information comes from existing enterprise applications, such as enterprise resource planning, customer relationship management, and supply chain management, as well as new data sources such as social media platforms, like Facebook or Twitter, and big data sources, such as Hadoop and NoSQL.

Data-driven organizations are also focusing on the adoption and utilization of streaming event data sources coming from real-time applications associated with orders, fulfillment and payment, Internet of Things (IoT) device and sensor event data, and mobile app and online portal navigation information. These streaming event sources promise to accelerate the collection, analysis, and action taken to build competitive advantage. Organizations that can spot and act on trends in their operations, customer tastes, and overall market conditions in real time have a clear advantage over their competitors, who are taking days, if not weeks or months, to find those same opportunities.

To manage the new challenges of constructing and maintaining streaming data pipelines, automation strategies and practices provide organizations with the ability to capitalize on the opportunities of streaming data without taking on a challenge destined for failure. Key considerations for implementing automation in association with streaming include: 

1. Growth in the adoption of streaming data strategies with IoT, enterprise applications, and mobile and online data
2. Complexity of streaming data management and engineering across multiple points
3. Value of automation for data infrastructure engineering initiatives to increase scale and maintainability 
4. Strategic impact of automation on streaming environments  
5. Value of business outcomes for automation practices


John Myers, Former EMA Analyst


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