| | December - 20188OPINIONThe last decade has proved that Big Data is indispensable for all industries. From the auto industry to farming, we are seeing an acceleration of generated data that is tucked away into massive Data Lakes. The automobile revolution, including continuous auto-health monitoring, one-push driver assistance, and fully connected cars, is pushing the frontier of data collection. New cars produced around 2020 will on average generate over four terabytes of data every day. Dealing with this massive amount of data will challenge and completely revolutionize the Big Data technology stack. This growth in Big Data is not only restricted to consumer technologies; agriculture is going through a revolution in today's era of Internet of Things (IoT). Sensors and actuators across all the already industrialized farm lands are yielding thousands, if not millions of data every second. The fight is on to revolutionize the experience of a farmer as more companies are pouring billions of dollars in `Big Ag Big Data' research. From auto-piloted drones to deliver pesticides, to weather-proofed buried sensors giving second-by-second updates on the micro climate where plants grow, the Big Data IoT revolution has been completely embraced even by the oldest of industries. With all this available data, expectations for reduced costs and bigger returns are high. However, many companies are realizing that the grass on the other "Big Data side" is not as green as they thought. While Big Data has provided boosts to the bottom line, the next generation of Big Data will require substantial investment into big insights, not just Big Data. This article discusses five important concepts that are sweeping the Big Data world. Embracing this new philosophy will accelerate insights and innovation in almost all industries. Serverless ComputingCloud transformation started with Infrastructure-as-a-Service (IaaS) revolution. IaaS provides IT Operations with the ability to seamlessly rent out servers without needing to physically maintain infrastructure within an organization. As industry catches up to this, Platform-as-a-Service (PaaS) is becoming the new reality. PaaS is further alleviating the IT pains by relieving them of mundane tasks like OS maintenance, and allowing them to focus on better goals, like cyber defense and faster compliance, all at a better cost. The true revolution in cloud transformation is the nascent Serverless Computing technologies. Serverless Computing can truly relieve the need to maintain servers, operating systems and even applications to a large extent. Customers now need to just produce their code and deliver it to the cloud service provider to worry about the rest. Actions are packaged into cleanly defined web functions, which are hosted on the cloud and scaled on demand. Offering functionality via web Application Programming Interface (API) not only allows internal applications to scale with business, but also enables the companies to sell selected services externally. Such APIs are opening up opportunities for organizations to monetize on their data lakes by extracting insights from the data. An "insights-first" strategy is enabling organizations to head into the future of Insights-as-a-Service, if not, at least Data-as-a-Service. Real-Time AnalyticsToday, data lake philosophy promotes a culture of stacking away data and not really asking the important question What does your Organization Need­ Big(er) Data or Big(er) Insights?By Sreekar Krishna, Director, Data Science & Innovation, KPMG LLPSreekar Krishna
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