What is the differences between RDBMS Data Warehouse and big data Hadoop?

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Unlike RDBMS, Hadoop is not a database, but rather a distributed file system that can store and process a massive amount of data clusters across computers. However, RDBMS is a structured database approach in which data is stored in rows and columns which can be updated with SQL and presented in different...
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Unlike RDBMS,Hadoop is not a database, but rather a distributed file system that can store and process a massive amount of data clusters across computers. However, RDBMS is a structured database approach in which data is stored in rows and columns which can be updated with SQL and presented in different tables. read less
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Unlike RDBMS, Hadoop is not a database, but rather a distributed file system that can store and process a massive amount of data clusters across computers. However, RDBMS is a structured database approach in which data is stored in rows and columns which can be updated with SQL and presented in different...
read more
Unlike RDBMS, Hadoop is not a database, but rather a distributed file system that can store and process a massive amount of data clusters across computers. However, RDBMS is a structured database approach in which data is stored in rows and columns which can be updated with SQL and presented in different tables. read less
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Unlike RDBMS, Hadoop is not a database, but rather a distributed file system that can store and process a massive amount of data clusters across computers. However, RDBMS is a structured database approach in which data is stored in rows and columns which can be updated with SQL and presented in different...
read more
Unlike RDBMS, Hadoop is not a database, but rather a distributed file system that can store and process a massive amount of data clusters across computers. However, RDBMS is a structured database approach in which data is stored in rows and columns which can be updated with SQL and presented in different tables. read less
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**RDBMS:** - Structured data - Fixed schema - ACID compliance - Suitable for transaction processing **Data Warehouse:** - Centralized repository - Optimized for query and analysis - Historical data storage - Often uses ETL processes **Hadoop:** - Handles structured and unstructured data -...
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**RDBMS:** - Structured data - Fixed schema - ACID compliance - Suitable for transaction processing **Data Warehouse:** - Centralized repository - Optimized for query and analysis - Historical data storage - Often uses ETL processes **Hadoop:** - Handles structured and unstructured data - Flexible schema (schema-on-read) - Scalable and distributed - Ideal for large datasets and batch processing read less
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Hello, I have completed B.com , MBA fin & M and 5 yr working experience in SAP PLM 1 - Engineering documentation management 2 - Documentation management Please suggest me which IT course suitable to my career growth and scope in market ? Thanks.
If you think you are strong in finance and costing, I would suggest you a SAP FICO course which is definitely always in demand. if you have an experience as a end user on SAP PLM / Documentation etc, even a course on SAP PLM DMS should be good.
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Priya
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what should I know before learning hadoop?
It depends on which stream of Hadoop you are aiming at. If you are looking for Hadoop Core Developer, then yes you will need Java and Linux knowledge. But there is another Hadoop Profile which is in demand...
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Tina
Can anyone suggest about Hadoop?
Hadoop is good but it depends on your experience. If you don't know basic java, linux, shell scripting. Hadoop is not beneficial for you.
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Ajay
What is the purpose of RecordReader in Hadoop?
RecordReader converts input splits into key-value pairs for the Mapper.
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Malvika
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