Differences between HDFS and HBase.&, Difference between HBase and RDBMS.

Differences between HDFS and HBase.

HDFS

  •  HDFS is a distributed file system suitable for storing large files.
  • HDFS does not support fast individual record lookups.
  • It provides high latency batch processing; no concept of batch processing.
  • It provides only sequential access to data.


HBase

  • HBase is a database built on top of the HDFS.
  • HBase provides fast lookups for larger tables.
  • It provides low latency access to single rows from billions of records (Random access). 
  • HBase internally uses Hash tables and provides random .



Difference between HBase and RDBMS.

HBase

  • HBase is schema-less, it does not have the concept of fixed columns schema; defines only column families.
  • It is built for wide tables. HBase is horizontally scalable.
  • No transactions are there in HBase.
  • It has de-normalized data.
  • It is good for semi-structured as well as structured data.


RDBMS

  • An RDBMS is governed by its schema, which describes the whole structure of tables.
  • It is thin and built for small tables. Hard to scale.
  • RDBMS is transactional.
  • It will have normalized data.
  • It is good for structured data.



Comments

Popular posts from this blog

Suppose that a data warehouse for Big-University consists of the following four dimensions: student, course, semester, and instructor, and two measures count and avg_grade. When at the lowest conceptual level (e.g., for a given student, course, semester, and instructor combination), the avg_grade measure stores the actual course grade of the student. At higher conceptual levels, avg_grade stores the average grade for the given combination. a) Draw a snowflake schema diagram for the data warehouse. b) Starting with the base cuboid [student, course, semester, instructor], what specific OLAP operations (e.g., roll-up from semester to year) should one perform in order to list the average grade of CS courses for each BigUniversity student. c) If each dimension has five levels (including all), such as “student < major < status < university < all”, how many cuboids will this cube contain (including the base and apex cuboids)?

Suppose that a data warehouse consists of the three dimensions time, doctor, and patient, and the two measures count and charge, where a charge is the fee that a doctor charges a patient for a visit. a) Draw a schema diagram for the above data warehouse using one of the schemas. [star, snowflake, fact constellation] b) Starting with the base cuboid [day, doctor, patient], what specific OLAP operations should be performed in order to list the total fee collected by each doctor in 2004? c) To obtain the same list, write an SQL query assuming the data are stored in a relational database with the schema fee (day, month, year, doctor, hospital, patient, count, charge)

Discuss classification or taxonomy of virtualization at different levels.