There are a lot of differences between Hadoop and RDBMS(Relational Database Management System). Hadoop is not a database, it is basically a distributed file system which is used to process and store large data sets across the computer cluster. It has two main core components HDFS(Hadoop Distributed File System) and MapReduce. HDFS is the storage … Continue reading Difference Between Big Data Hadoop And Traditional RDBMS
Hadoop is the cloud computing platform data scientists use to perform highly paralleled operations on big data. If you’ve explored Hadoop, you’ve probably discovered it has many levels of complexity. After getting comfortable with the concepts it may feel a no brainier but getting there is not easy. Understanding the Limits of RDBMS? RDBMS is … Continue reading Hadoop vs RDBMS
What are the differences between traditional or RDBMS and Hadoop database systems? Both traditional relational (RDBMS) and Hadoop database systems have similar functionalities in terms of collection, storage, processing, recovery, extraction and data manipulation. However, they use radically different approaches in terms of data processing, and the problems they are trying to solve. RDBMS systems … Continue reading How to decide between RDBMS and HADOOP?