TL;DR Summary: Hadoop is a key technology used across various industries for big data applications, including finance, retail, energy, telecommunications, and public services. Its applications range from risk assessment to predictive maintenance and customer analytics.
- Financial services use Hadoop for risk assessment and investment modeling.
- Retailers improve customer service through data analysis.
- Energy companies employ it for IoT-driven predictive maintenance.
- Telecommunications optimize networks with Hadoop analytics.
- Public sector initiatives include disease prevention and fraud detection.
Examples of Hadoop
Here are five examples of Hadoop use cases:
- Financial services companies use analytics to assess risk, build investment models, and create trading algorithms; Hadoop has been used to help build and run those applications.
- Retailers use it to help analyze structured and unstructured data to better understand and serve their customers.
- In the asset-intensive energy industry Hadoop-powered analytics are used for predictive maintenance, with input from Internet of Things (IoT) devices feeding data into big data programs.
- Telecommunications companies can adapt all the aforementioned use cases. For example, they can use Hadoop-powered analytics to execute predictive maintenance on their infrastructure. Big data analytics can also plan efficient network paths and recommend optimal locations for new cell towers or other network expansion. To support customer-facing operations telcos can analyze customer behavior and billing statements to inform new service offerings.
- There are numerous public sector programs, ranging from anticipating and preventing disease outbreaks to crunching numbers to catch tax cheats.
Hadoop is used in these and other big data programs because it is effective, scalable, and is well supported by large vendor and user communities. Hadoop is a de facto standard in big data.
See how CARFAX uses Big Data and Hadoop
Hadoop Guide
- Hadoop Tutorial for Beginners: Hadoop Basics
- An Introduction to Hadoop Administration
- Introduction to Hadoop Security
- Introduction to Apache Flume
- An Introduction to Hive
- An Introduction to HDFS
- Introduction to Hbase
- Hadoop Examples: 5 Real-World Use Cases
- Hadoop Careers: Getting Hired
- Hadoop Interview Questions
- An Introduction to Hadoop Analytics
- Introduction to Apache Pig
- An Introduction to Apache Yarn
- An Introduction to Hadoop Architecture
- Benefits & Advantages of Hadoop
- Using Hadoop with Apache Cassandra
- Hadoop vs Kubernetes: Will K8s & Cloud Native End Hadoop?
- Hadoop Certifications
- Hadoop Clusters: An Introduction
- Hadoop Ecosystem and Components
These postings are my own and do not necessarily represent BMC's position, strategies, or opinion.