The Brave New World of Infinite Data and Immediate Interactive Visualization

Google Cloud Platform's Streaming Analytics + Zoomdata's Streaming Analytics

We now live in an age of pervasive data. Everything of modern value is made up of bytes and pixels. Billions of devices, sensors, and apps create a constant flow of streaming data. All things digital are now, or will soon be, connected by the Internet of Things. People of all ages, nationalities, and capabilities now engage through multiple devices with hundreds of apps utilizing sensor technologies embedded in the device and creating new data and new patterns – patterns which are just waiting to be discovered. This will culminate in self-directed, autonomous analytics based on a convergence of AI (artificial intelligence) and ML (machine learning), all visualized through an adaptable, engaging interface. It’s a brave new world; one in which the combination of Google Cloud Platform’s stream analytics and machine-learning capabilities, and Zoomdata’s streaming visualization capabilities provide enterprises an unfair advantage over legacy approaches.

Data-driven & digital disruption has, or soon will, affect every market segment, every business, in every corner of the world. As a case in point, consider the case of a fictional NYC taxicab company looking for new revenue streams in the face of increased competition from the likes of Uber and Lyft.

• Micro Analysis: What assets can be retargeted? In this case, one could consider the assets to be the captive audience in the cab; the strategic relationships with local businesses & clubs; national brands that may offer MDF, etc.
• Macro Analysis: What new business models might need to be invented? Unleash imagination using the power of Google Cloud Platform, coupled with Zoomdata’s ability to provide a highly interactive UI/UX,  able to be displayed on any reasonable form factor - such as a touch-enabled screen right in front of the target’s field of view.

Thus, our example NYC taxicab company can now use digital display ads to generate more revenue, while at the same time providing a great mechanism of managing real-time inventory of ads which can be self-tailored by the captive audience to maximize engagement and revenue production.

NYC Taxicab Demo Main Visualization Console

NYC Taxicab Demo Drill Through to Real-Time Ad Revenue Details

NY Taxicab Demo Comparative Real-Time Ad Revenue and Display Visualizations

Pervasive Change, Changes Everything

Change has been, and will continue to be, a constant factor; we now live in a world of unpredictable and varying rates of change. Change can no longer be measured by seasons, eras, or generations. Change now happens constantly and at a much faster pace than ever before. There are two main elements driving this unprecedented change:

• The notion of ‘butterfly effects’ have an enhanced ability to accelerate change and unpredictability. We are in uncharted territory and historical approaches to analytics are unable to guide us - no one really knows what might happen next with any level of confidence using legacy approaches.
• Second, technology innovation is exploding across four vectors at the same time: The Internet has now connected virtually everything, everywhere; Mobile device adoption (in various form factors) has outpaced traditional desktop and laptop computing; True Big Data volumes (100’s of Tb to 1000’s of Pb and beyond), velocities of streaming ‘real time’ data flows, and varieties of data with different storage affinities continue to explode; and lastly, the availability of cost-effective, highly performant Cloud Platforms is (some might say finally) taking over corporate data centers of all sizes with unbeatable economies of scale, security, robustness, and price.

Time Becomes Truly Valuable

As the speed of change continues to accelerate, time becomes the most valuable commodity. In fact, as the volume of data approaches the infinite, human expectations of response time to queries of any construct begin to converge on zero. Everyone (business analysts, management, consumers/customers, even the young) expects instant access and immediate response to useful data no matter the format, size, or structure of that data. Those able to provide this speed to useful knowledge now realize an unfair advantage. Those desiring to survive – much less thrive – in this new age must combine speed with intelligence in order to prevail. Data capacity will allow archival data to be united with streaming “now” data in lambda architectures.  Distributed architectures and faster components now being provisioned will speed up complex processes so that predictive analytics can take in much longer time and data volume ranges.

A New Currency Emerges

There is an understanding that Data has now emerged as a new currency. Those who have the data and who can quickly surface and visualize meaning will win in the end. With the cost-efficiencies of Google Cloud Platform, designed to simplify the ingestion and processing of streaming data at any scale, coupled with Zoomdata’s ability to promptly analyze data at the speed of that data, companies can store, understand, and use, more data than ever imagined. Hidden deep in that data are the secrets to attaining and retaining more customers, shaping behavior, identifying anomalies, increasing revenue/ROI/profit, and minimizing enterprise risk at levels never before possible. The combination of massive amounts of data and modern analytic platforms able to harness advanced deep learning is creating a new global currency, more stable than classic currencies of any preceding age.

Come See a Live Demonstration of the Future in Person at Strata

At Strata New York 2017, come visit GCP’s stream analytics solution--including Google Cloud Pub/Sub, Cloud Dataflow, Cloud BigQuery, and Cloud Machine Learning Engine--in action as visualized by Zoomdata. We’ll show you a real life scenario where the immediacy of streaming data and customer interactions can be visualized and business models adjusted in realtime, to maximize the effectiveness of ad revenue placements during thousands of cab rides across NYC. As cabs deliver location information and digital display interaction events to Cloud Dataflow via Cloud Pub/Sub, Google’s streaming processing engine makes calls to Machine Learning API in order to predict the best ads to show to cab passengers, maximizing click-through-rates and, ultimately, revenue. Come play with this interactive demo in Google’s booth and booth 627, where you’ll find Zoomdata.

Use GCP Launcher to Explore the Demo Yourself

For those who won’t be attending Strata in person, but still want to explore the combination of Zoomdata and Google Cloud Platform, we have an easy way to launch a copy of Zoomdata inside GCP using GCP Launcher.

Zoomdata for GCP makes it easy to connect, stream and visually interact with your data in the cloud or on premise. This image includes BigQuery, PostgreSQL, Dataproc, Cloudera, MapR, Elastic & SparkSQL smart connectors along with pre-built visualizations that can generate interactive graphs in seconds. To access Zoomdata’s Spanner connect, please contact Zoomdata support. The Zoomdata Server can also connect to other data sources both on-prem and in-cloud, and Zoomdata Fusion can bring these disparate sources together as a single source.

Visit https://console.cloud.google.com/launcher/details/zoomdata-public/zoomdata