Applying Big Data Streaming Analytics in the Real World
IoT, the Internet of Things, has been a buzzword for the past five years. Literally everyone across all industries – business executives, line of business owners, operation staff, mechanical engineers, even retail marketers – has been eyeing the benefits and market opportunities IoT initiatives can bring. Yet there are so many points of view on IoT strategy that it is tough to have an agreed-upon, singular conversation on the topic. My definition of an IoT strategy simply means the actions based on the insights extrapolated from the traversing streams of data generated by connected endpoint devices, such as sensors, mobile phones, work stations, wearable devices and more.
However, with the speed of business today, enterprises are no longer satisfied with an IoT solution without real-time capability. The real game-changer is the ability to collect, curate, aggregate, analyze, and act on data, in real-time, such as that offered by Hortonworks DataFlow (HDF™). Hortonworks DataFlow is a data-in-motion platform to build dataflow management and streaming analytics applications, across the data centers, cloud, edge devices and sensors. With HDF, customers are able to exploit the advancement of big data streaming analytics to enable right-time, data-smart decisions.
Additionally, organizations can gain an edge to outpace the competition by grasping customer sentiments that align with the latest market trends, innovate faster by building products and services tailor-made to the changing market, and formulate strategies that capitalize on new venture opportunities. To further demonstrate the capability of HDF, the following solution use cases showcase the utilizations of the platform and their business benefits in the real-world scenarios:
Ad Server – what is an ad server? Here is a detailed explanation: https://www.sovrn.com/blog/what-is-an-ad-server/. In a nutshell, it is a web-based technology that employs a real-time bidding and auction process (often done in milliseconds) to help publishers efficiently manage all of the ad space on their sites, as demonstrated in the chart below:
With HDF, Hortonworks introduces a new approach to ad serving technology to keep pace with the evolving consumer and market needs. This 100% Open Source technology integrates disparate data sources with Machine Learning for better discovery and tracking of ad buying experience. Capabilities of the solution include:
Based on the contextual analytics insights, business users can then ask new questions, measure campaign results across a variety of devices and formats, or adjust their customer engagement strategy to optimize revenue channels.
To learn more about Hortonworks solution for Ad Server, please visit: Ad Server Solution Sheet Case Study
Clickstream Analysis – clickstream data is an information trail a user leaves behind while visiting a website. It is typically captured in semi-structured website log files. These website log files contain data elements such as a date and time stamp, the visitor’s IP address, the URLs of the pages visited, and a user ID that uniquely identifies the user.
