Amazon’s DynamoDB eliminates big data challenges
When IT organisations are built, software applications are processed by running the applications faster. this is done, due to business growth as more and more users use their application. Undoubtedly, the application database will increase exponentially as organisation grows. Database has always been one of the biggest challenges, IT organisations/ businesses. Scaling application that requires storing intensive amount of data, is known as big data.
Big data refers to the exponential growth and availability of data, both structured and unstructured.
It is being generated by everything around us at all times; Facebook posts, Twitter tweets and almost every digital processes. Big data is arriving from multiple sources at an alarming velocity, volume and variety. In order to give you a better idea of how big data can heavily affect IT organisation business. Let me give you an example.
Taking the Apple store website as an example, supposes Apple just launched a new version of iPhone and Mac-book today. Without a doubt, their website will be receiving tens of millions requests and checkouts from all over the world in the next few weeks period. This will surely generates intensive amount of data (volume) in their database. Their website must also provide and maintain hundreds of thousands of concurrently active sessions that are arriving at unprecedented speed (velocity) and must be dealt with in a timely manner. The data also comes in all types of formats (variety) from structured to unstructured data.
Challenge 1, website availability — Imagine, if Apple’s database can not handle the extreme peak loads from their customers and the website goes down. What would happen? Their website downtime will cause severe financial consequences, impact their customer trust and company reputation.
Challenge 2, data-centres efficiency— Apple’s platform is implemented on top of an infrastructure of tens of thousands of servers and network components located in many data-centres around the world. Therefore, managing efficiency of the organisation services and availability of their big data across multiple data-centres also becomes problematic for Apple. Hence, Apple must find an effective solution to prevent these problems.
In order to overcome the above two challenges, Apple can use a storage technology called DynamoDB developed by Amazon. It is a fast and flexible NoSQL database service for all applications that need consistent and reduce latency at any scale.
NoSQL databases are mainly used for ease of development, scalable performance, high availability, and resilience. Also, DynamoDB is a fully managed cloud-based database and supports both document and key-value store models. Its flexible data model and reliable performance make it a great fit for mobile, web, gaming, and many other applications.
The use of DynamoDB storage technology can bring Apple the following benefits;
Availability — data stored in DynamoDB can be easily distributed to multiple Amazon Web Service (AWS) region to optimise for latency, minimise costs and address regulatory requirements. Amazon boasts its DynamoDB storage technologies can provide up to 99.99% availability (always-on experience) and data can be retrieved when needed from different data-centers around the world.
Scalability — with DynamoDB, Apple can store as much data as they want and access it when needed. Additionally, Apple’s developers do not need to predict customer needs because DynamoDB allows them to scale up and down as required. This increases their business agility dramatically.
Backup and recovery — Storing and backing up big data across multiple data-centres can be very expensive and time consuming for Apple. With DynamoDB, Apple can use it as their big data storage; it offers a comprehensive portfolio of services to help Apple to manage their big data by reducing costs and time, scaling to meet demand, and increasing the speed of innovation.
Disaster Recovery — DynamoDB is highly durable, secure and a global infrastructure that offers a robust disaster recovery solution using Cross-Region Replication (CRR). It automatically duplicates data stored in its database and distributed the duplicated data to different AWS region. In this way, even Apple’s data-centers are being destroyed by disaster they can always retrieve their data from available regions.
In conclusion, in this article I have covered common challenges caused by big data and how to overcome those problems by using Amazon DynamoDB. This article only cover brief introduction to Amazon’s DynamoDB. Hence, i would strongly recommend you to explore deeper into Amazon DynamoDB for your own benefits. You can start by watching the video below which covers how Duolingo uses Amazon DynamoDB to store 31 billion of their online learning resources.