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

Python How to Create Directory Here's Logic

Here's logic you can create a directory in Python, if you know the package you need to import. Packages play a vital role in Python. You can work with all Directory commands, if you import the 'OS' package.

Python Directories

You can create and delete directories in Python. Here's the helpful logic you can use for your projects. For this, you need to import 'os'. 

Python directories
Python Directories

1. How to Create a Directory

Import os 

os.mkdir('datafiles')

2. How to Change Directory

os.chdir('newdirectory')

3. How to Create a Directory and then Create a file in it

import os 
os.mkdir('datafiles/newfiles'); 
os.chdir('datafiles/newfiles'); 
fp=open('input.txt', 'w') 
fp.write('Hello, Welcome to Programming in Python') 
fp.close()


4. How to Know Present Working Directory

os.getcwd()

5. How to delete a directory

os.rmdir('directoryname')

6. How to get the List of Directories

os.listdir()


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