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

Switching Career Top Skills for Mainframe Programmers

Read my part-1 post. Secondly, the programmers who are working on the mainframe have very good business knowledge. 

People who have the following skills are a valuable asset to any organization. Mainframe programmers if they learn other skills and try for new jobs they can earn more money.

Programmer Roles.

A programmer who can do analysis, create database structures, write clean code, create testing structures, and clearly communicate all that has been done is a very valuable asset.

Background of Mainframe.

The mainframe was leading in the market since 1950. All the big companies in the world are running their business in mainframes. 

Yes, many American universities now teaching mainframe technology in their education curriculum, since in the future possibility is there for mainframe skill shortage.

Skills You Need to Switch Career.

  1. It may become more important for IT professionals to gain experience working with analytics technology, as research firm Gartner predicted a surge in demand in this area in the next two years. According to CIO contributor Hamish Barwick, the big data trend alone is expected to create 4.4 million jobs worldwide.
  2. Analysts warned that only a third of those jobs are likely to be filled due to difficulties in recruiting analytics talent.
  3. An opportunity for every IT Professional: "Dark data is the data being collected, but going unused despite its value and leading organizations of the future will be distinguished by the quality of their predictive algorithms.

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