Hadoop is a new technology. Hadoop is an open-source software framework for storing data and running applications on clusters of commodity hardware. It provides massive storage for any kind of data, processing power and the ability to handle virtually limitless concurrent tasks or jobs.
As the World Wide Web grew in the late 1900s and early 2000s, search engines and indexes were created to help locate relevant information amid the text-based content. In the early years, search results were returned by humans. But as the web grew from millions of pages, automation was needed.
Why is Hadoop important?
- Ability to store and process huge amounts of any kind of data, quickly. With data volumes and varieties constantly increasing.
- Computing power.
- Fault tolerance.
- Low cost. The open-source framework is free and uses commodity hardware to store large quantities of data.
- Scalability. You can easily grow your system to handle more data simply by adding nodes. Little administration is required.
What are the challenges of using Hadoop?
- MapReduce programming is not a good match for all problems.
- There’s a widely acknowledged talent gap.
- Data security– it is also provide data security for hadoop and big data users.
- Full-fledged data management and governance. Hadoop does not have easy-to-use, full-feature tools for data management, data cleansing, governance and metadata.
How Is Hadoop Being Used?
- low-cost storage and data archive.
- Sandbox for discovery and analysis.
- Data Lake.
- Complement your data warehouse.