SEARCH KEYWORD -- RDBMS
A Quick Look at the Services Offered by RDBMs vs. NoSQL
The world of IT has to deal with the issue of data storage. The reason for this is that there is plenty of data produced and created daily on the internet and on various business applications. In the past, RDBMs or Relational Database Management Systems were used for storage. Even though they are still used today, there are other offerings that present competition and anyone wishing to purchase data storage systems needs to make comparisons. One such competing system is NoSQL or Not Only ...
NOSQL,DATABASE,RDMS,DATABASE SUPPORT 2015-11-06 04:52:54
Understanding How is Data Stored in RDBMS
We all know that DBMS (database management system) is used to store (a massive amount of) data. However, have you ever wondered how is data stored in DBMS? In this post, we will focus on data storage in RDBMS, the most traditional relational database systems. Physical Storage Data can be stored in many different kinds of medium or devices, from the fastest but costy registers to the slow but cheap hard drives, or even magnetic tapes. Nowadays, IaaS providers such as AWS...
Why to opt for Hadoop?
Hadoop is a open source that stores and processes big data. The framework is written in Java for distributed processing and distributed storage of very large data. Hadoop is Scalable. It is a scalable platform because it stores and distributed large amount of data sets to hundreds and thousands of servers that operate in parallel. Traditional database systems cannot process large amount of data. But, hadoop enable business to run applications involving thousands of Terabyte data. Hadoop is ...
Oracle database to execute multiple statements at command line
Oracle database is now a mature and popular RDBMS which is used by lots of enterprises. With its evolution, many utilities and applications are developed around it as well. Now Oracle database also provides cloud support. As a DBA, managing Oracle database is daily routine work and some tools may be used frequently. One of them is sqlplus, the command line tool for executing SQL command. sqlplus is installed while the Oracle database is installed. To start sqlplus, one just needs to open a termi...
ORACLE,ORACLE DATABASE,SQLPLUS 2016-12-09 20:11:28
How Query Optimizer Works in RDBMS
In a previous post, we discussed how the various relational operators are implemented in relational database systems. If you have read that post, you probably still remember that there are a few alternative implementations for every operator. Thus, how should RDBMS determine which algorithm (or implementation) to use? Obviously, to optimize the performance for any query, RDBMS has to select the correct the algorithm based on the query. It would not be desirable to always use the same algori...
DATABASE,DATABASE DESIGN,DATABASE OPTIMIZATION 2019-04-20 07:26:32
CASSANDRA data model
Cassandra is an open source distributed database, it combines dynamic key/value and column oriented feature of Bigtable. Features of Cassandra are: Flexible schema, no need to design schema first, it's very convenient to add or delete strings Support range search on keys High usability, extensible. The single node error will not affect the cluster. We can think Cassandra's data model as a 4 or 5 dimensional Hash. COLUMN Columns is the smallest data unit in Cassandra, it is a 3 dimensional data...
How to install Oracle database on Linux using response file
There are two ways to install Oracle database on Linux :1). Using GUI; 2). Using response file. In this post, the method for using response file will be introduced. To install Oracle, please first get the Oracle database installation file ready. It can be downloaded from Oracle OTN. You need to have an Oracle account before you can download them. And there are three major components of the Oracle database installation : 1). The installation itself; 2). The network configuration; 3). Database cre...
LINUX,HOW TO,ORACLE DATABASE 2017-06-03 04:15:49
Consistency between Redis Cache and SQL Database
Nowadays, Redis has become one of the most popular cache solution in the Internet industry. Although relational database systems (SQL) bring many awesome properties such as ACID, the performance of the database would degrade under high load in order to maintain these properties. In order to fix this problem, many companies & websites have decided to add a cache layer between the application layer (i.e., the backend code which handles the business logic) and the storage layer (i.e., the SQL d...
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