5 HBase Vs. RDBMS Top Functional Differences

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Here're the differences between RDBMS and HBase. HBase in the Big data context has a lot of benefits over RDBMS. The listed differences below make it understandable why HBASE is popular in Hadoop (or Bigdata) platform.  5 HBase Vs. RDBMS Top Functional Differences Here're the differences unlock now. Random Accessing HBase handles a large amount of data that is store in a distributed manner in the column-oriented format while RDBMS is systematic storage of a database that cannot support a random manner for accessing the database. Database Rules RDBMS strictly follows Codd's 12 rules with fixed schemas and row-oriented manner of database and also follows ACID properties. HBase follows BASE properties and implements complex queries. Secondary indexes, complex inner and outer joins, count, sum, sort, group, and data of page and table can easily be accessible by RDBMS. Storage From small to medium storage application there is the use of RDBMS that provides the solution with MyS
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Big data real role to help Real estate business

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How big data helps real estate is trending today. When people buy real estate and its dependencies you can get from analytics

Advantages of Big-data in Real estate

  1. Study the data from real estate consume
  2. Understand the buyers
  3. Loan dependencies and role of consumers
  4. Sale activities by agents
  5. Sales boost

Role of Big Data

Real estate agents need to check lot of data sources to identify sales pitch and formula to boost sales. The first point is agents should understand the requirements of consumers or buyers of real estate.

References

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