Hadoop is pretty Badass
January 04, 2018
Hadoop is pretty Badass
Score 9 out of 10
Vetted Review
Verified User
Modules Used
- Hadoop Distributed File System
- Hadoop MapReduce
Overall Satisfaction with Hadoop
Apache Hadoop is a cost effective solution for storing and managing vast amounts of data efficiently. It is dependable and works even when various clusters fail. The Hadoop Distributed File System (HDFS) also goes a long way in helping in storing data. MapReduce and Tez, with the help of Hive of course, processes large amounts of data in a lesser time frame than expected. This helps our data warehouse to be updated with lesser resources rather than reading, processing and updating data in a relational data base.
- It is cost effective.
- It is highly scalable.
- Failure tolerant.
- Hadoop does not fit all needs.
- Converting data into a single format takes time.
- Need to take additional security measures to secure data.
- It has made us respect the sheer volume of Big data.
- It helps us update our dashboards.
- It's easier to think big with Hadoop.