Introduction to Big Data Applications
In this era, Organizations are able to access more data than ever before and XenonStack offers value to these organizations by letting them know how to put theirBig Data to work. Not only this, but we also provide Big Data Use Cases to assure security and give a 360-degree view to the customer. In this blog, would be discussing the use cases of big data in below industries and sectors.
- Oil & Gas Industries
- Infrastructure Automation
- Real-Time Big Data Analytics Infrastructure with Smack Stack
What is a use-case and why is it important?
A Use Case is a written description that indicates the interactions between the users and a system. In addition to this, this helps the user by representing them a series of tasks it contains with the features it might use to fulfill any particular user's goal.
Choosing the right use cases that deliver business value is the key for capitalizing on opportunities presented by big data technologies. Source: Gartner, Inc
How is Big Data used in Healthcare?
The Amount of Data in Healthcare is increasing at an astonishing rate. However, in general, the industry has not deployed the data management and analysis level necessary to use those data. As a result, healthcare executives face the risk of being overwhelmed by a flood of unusable data.
How is Big Data Analytics used in Oil and Gas Industry?
Building an analytics platform involves collecting data from the API of various sources, followed by integrating data into the application, and the ability to deal with a large chunk of data. Secondly, build and plan for the data storage for constant updations. Further, it includes processing the data and turning the collected raw data into relevant information, further visualizing the data, and performing analytics to develop applications.
How Big Data is used in Retail Industry?
Retail and Big data have become synonymous. Predictive Analysis, along with Retail, has leveraged the power of Big Data by providing improved customer service, targeted promotions, Decision Making, and Supply Chain Analytics.
How Big Data is used in Manufacturing?
Smart Manufacturing is a technology-driven approach that uses Internet-connected machinery to observe the production process. The purpose of SM is to recognize the possibilities for automating processes and use data analytics to enhance manufacturing execution.
Rolls-Royce put Big Data processes to use in three key areas of their operations: design, manufacture, and after-sales support. Source: Forbes
The purpose of Smart Manufacturing is to recognize the possibilities for automating processes and use data analytics to enhance manufacturing execution. Download the full use case on Smart Manufacturing
Infrastructure Automation for Big Data and Kubernetes
Infrastructure Automation for Big Data and Kubernetes Hadoop Cluster with OpenStack enables faster cluster provision and easy configuration. It provides Scale-Up and Scale-Down by demand supported by the various plugin.
Real-Time Big Data Analytics Infrastructure on Mesos Kubernetes
- S – Stands for Apache Spark used for Batch Processing or Real-Time Data Streaming.
- M – Stands for Apache Mesos responsible for installation and administration.
- A – Stands for Akka for Data Streaming and Data Ingestion at a faster pace.
- C – Stands for Cassandra database to write and read the stored data.
- K – Stands for Apache Kafka to perform decoupling and reduction of overhead.
- Cloud Data Migration→
- Analytics Data warehouse on Cloud→
- Data Ingestion Platform Solutions using Apache Nifi→
- Apache Mesos: Distributed systems→
- Big Data Compliance→
Identify business-relevant analytical tools and unify all your dataExplore how XenonStack can help →
In addition to the above given Big Data Use Cases, there is much more Big Data can do for your Business to grow higher in this competitive world. The major reason behind why companies collect Big Data is to know their customer's experience which indirectly helps in improving the organization's relationships with their customers and helps in engaging with them in a much better way.