Jul 10 2024
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This document discusses what has made NoSQL Database a darling of many of the new age apps like Apple, Netflix, Starbucks, FedEx etc.,
This document lists the key elements of a cloud-native, massively scalable, and geo-distributed data architecture, which is the need of the hour. As more and more government organizations rely on Information Technology (IT) to deliver citizen services, here are some critical elements we should consider while developing our new-age applications.
Based on the experience from our legacy system and the study of new age companies like Uber thriving their business on Technology ONLY, we need to shift our focus from building systems to RUN applications to building systems to RUN CUSTOMER SERVICE.
To give a few examples, Payment solution companies are IT organizations providing Payment gateway solutions, the same way DIgital Identity solutions provided by governments like Indian Aadhar systema are kind of IT organizations providing Identity services or Uber providing cab services.
Based on the study of some of these organizations, we have found fundamental differences in how they store, access, manage and use their data. To list a few, here are the characteristics of the data architecture:
Context
Today, applications must provide contextually relevant data. It can include things like the nearest location, a previous order at a restaurant, insight into customer buying patterns, recommendations for a movie to watch, and on and on – endless possibilities.
In our context, it could be how consumers easily view their bills and history, forecast their spending in advance, etc. For internal consumption, the system should help access real-time information to make decisions like power consumption forecasts, proactive supply-demand analysis based on AI, real-time market data analysis to optimize the cost of purchasing power, and AI-driven decision-making for purchases.
The 7 Characteristics of Powerful Data Architecture
1. Always On
Companies used to schedule downtime to update applications. But nowadays, if an application isn’t available when a user wants it or is down entirely, the company risks losing customers and its entire brand and reputation.
In this era of cloud applications, 100% availability is not optional. The data platform must be continuously available, and the applications must be continually updated, which means rolling updates to the data management layer with no planned downtime.
2. Performance
3. Real-Time & AI-Driven
4. Change Data Capture
5. Geo Distributed
6. Massive Scalable
7. Open-Source
Traditional Systems
Traditional systems fail to meet today’s transformative needs as they are not scalable, work on proprietary hardware/software, and any upgrades call for downtime – which slows down the innovation cycle, reduces time to market, and ultimately doesn’t deliver the promise of customer delight, operational efficiency, and innovation.
NoSQL to the Rescue
Most cloud-native applications, use a NoSQL database, which has all the characteristics mentioned above and provides:
- Velocity– Massive data coming in very quickly, possibly from different locations.
- Variety– storage of data that is structured, semi-structured, and unstructured.
- Volume– data that involves many terabytes or petabytes in size.
- Geo-complexity– data stored and managed in different locations or data centers.
- Real-Time- Capturing data on a real-time basis and providing value to customer
- AI-Driven- Artificial intelligence embedded into the database will avoid creating duplicate datasets.
A NoSQL database is a non-relational and primarily distributed database system that enables rapid, ad-hoc organization and analysis of extremely high-volume, disparate data types. NoSQL databases have become the first choice, with scalability, availability, and fault tolerance key differentiators.
The Time to Switch is NOW.
It is imperative for the power sector to:
Modernize its technology stack with a focus on the following:
- Handling millions of customers with petabytes of storage spread across geographies.
- Optimize cost by AI-driven decision-making for Power purchases.
- Build operational efficiency by adopting real-time data insights, which would be critical for fraud detection, leakages, and customer satisfaction
This document discusses what has made NoSQL Database a darling of many of the new age apps like Apple, Netflix, Starbucks, FedEx etc.,
This document lists the key elements of a cloud-native, massively scalable, and geo-distributed data architecture, which is the need of the hour. As more and more government organizations rely on Information Technology (IT) to deliver citizen services, here are some critical elements we should consider while developing our new-age applications.
Based on the experience from our legacy system and the study of new age companies like Uber thriving their business on Technology ONLY, we need to shift our focus from building systems to RUN applications to building systems to RUN CUSTOMER SERVICE.
To give a few examples, Payment solution companies are IT organizations providing Payment gateway solutions, the same way DIgital Identity solutions provided by governments like Indian Aadhar systema are kind of IT organizations providing Identity services or Uber providing cab services.
Based on the study of some of these organizations, we have found fundamental differences in how they store, access, manage and use their data. To list a few, here are the characteristics of the data architecture:
