HBASE Vs. RDBMS Top Differences You can Unlock Now

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HBASE in the Big data context has a lot of benefits over RDBMS. The listed differences below make you understandable why HBASE is popular in Hadoop (or Bigdata) platform. Let us check one by one quickly. HBASE Vs. RDBMS Differences 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 follow Codd's 12 rules with fixed schemas and row-oriented manner of database and also follow ACID properties. HBase follows BASE properties and implement 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 provide the solution with MySQL and PostgreSQL whose size increase with concurrency and performance.  Codd'

DevOps Testing Best Practices List

Testing is the critical phase in DevOps. The process of DevOps is to speed up the deployment process. That means there are no shortcuts in testing. Covering most relevant test cases is the main thing the tester has to focus.
DevOps Testing

Requirements to Maximize Quality

  1. Good maintainable code
  2. Exhaustive coverage of cases
  3. Training documents to Operations team
  4. Fewer bugs in the bug tracker
  5. Less complex and no redundant code

Testing Activities in DevOps

    • The team to use Tools to check the quality of code
    • Style checker helps to correct code style
    • Good design avoids bugs in production
    • Code performance depends on the code-quality
    • Bugs in production say poor testing 

    Tester Roles in DevOps

    1. Good quality means zero bugs in production.
    2. Design requirements a base to validate testing results.
    3. Automated test scripts give quick feedback on the quality of code.
    4. Right test cases cover all the functional changes.

    The Bottom Line

    • The DevOps approach is seamless integration between Development and Operations without compromising the Quality.
    • Use test cases in a way to test all possible scenarios.
    • Automate the tasks wherever possible to get the quick reply on quality of source code.

    References

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