Skip to main content

Traditional RDBMS Vs NOSQL databases

#The key differences between RDBMS and NoSQL databases:
#The key differences between RDBMS and NoSQL databases:
Traditional RDBMS

For the last 20 or 30 years, classic data warehousing has been based on the same regimented approach. However, the future is changing this. Traditionally, processes such as identifying data lineage, documenting metadata, and being able to reconcile data across different reports coming from different data tables in different data marts have been critical to ensure that numbers are correct. 
  • This standard approach to data warehousing has been important, in order to have confidence in your data and meet regulatory and compliance requirements. 
  • However, over time businesses have become more complex and are doing things at an ever-accelerating pace, and as a result, data storage needs for analytics are changing. 
  • For example, there was a time when the core business of a retail establishment was to understand and sell a single line of products through a bricks-and-mortar presence. 
NoSQL database

However, within the last 5 to10 years, that has evolved into retail establishments needing to sell and fulfill their products through multiple online, offline, and mobile channels, while understanding the dynamic way consumers research and choose to purchase a retail product. Similar issues also exist in the telecommunications industry.
  •  In the early days of the industry, companies sold fixed lines, and the only product flavors were local, long-distance, and international calls.
  • Today, companies must deal with mobile, data over mobile, data over different bandwidths, and all of the product permutations that people have, not to mention the increased competition. Companies also must track service switches and pricing tiers.
As a result, the predominant database storage models of today will not be the only data storage models of the future. 

More: MongoDB 3.2 fundamentals for Developers-Learn with Exercises

The relational databases of the past will work alongside less formally structured database schemas, such as NoSQL, that do not require structured and logical data but lend themselves well to the fast retrieval and analysis of multiple data types. These analytical warehouses will be much more flexible and dynamic, lending themselves to adhoc analyses and to bringing multiple disparate data sources together in order to address critical business questions. 

This will be essential in the future, as companies do things with data such as combine Web behavior click-stream data with Twitter feeds, customer satisfaction surveys, product purchase records, and third-party credit data, in order to use data science techniques to look for relationships.


Popular posts from this blog

The best 5 differences of AWS EMR and Hadoop

With Amazon Elastic MapReduce (Amazon EMR) you can analyze and process vast amounts of data. It does this by distributing the computational work across a cluster of virtual servers running in the Amazon cloud. The cluster is managed using an open-source framework called Hadoop.

Amazon EMR has made enhancements to Hadoop and other open-source applications to work seamlessly with AWS. For example, Hadoop clusters running on Amazon EMR use EC2 instances as virtual Linux servers for the master and slave nodes, Amazon S3 for bulk storage of input and output data, and CloudWatch to monitor cluster performance and raise alarms.

You can also move data into and out of DynamoDB using Amazon EMR and Hive. All of this is orchestrated by Amazon EMR control software that launches and manages the Hadoop cluster. This process is called an Amazon EMR cluster.

What does Hadoop do...

Hadoop uses a distributed processing architecture called MapReduce in which a task is mapped to a set of servers for proce…

Top 20 ultimate ETL Questions really good for interviews

How to print/display the first line of a file?  there are many ways to do this. However the easiest way to display the first line of a file is using the [head] command.  $> head -1 file. Txt no prize in guessing that if you specify [head -2] then it would print first 2 records of the file.  another way can be by using [sed] command. [sed] is a very powerful text editor which can be used for various text manipulation purposes like this.  $> sed '2,$ d' file. Txt how does the above command work?  The 'd' parameter basically tells [sed] to delete all the records from display from line 2 to last line of the file (last line is represented by $ symbol). Of course it does not actually delete those lines from the file, it just does not display those lines in standard output screen. So you only see the remaining line which is the 1st line.  how to print/display the last line of a file?  the easiest way is to use the [tail] command.  $> tail -1 file. Txt if you want to do it using…

5 Things About AWS EC2 You Need to Focus!

Amazon Elastic Compute Cloud (Amazon EC2) - is a web service that provides resizable compute capacity in the cloud. It is designed to make web-scale cloud computing easier for developers.
Amazon EC2’s simple web service interface allows you to obtain and configure capacity with minimal friction.

The basic functions of EC2... 
It provides you with complete control of your computing resources and lets you run on Amazon’s proven computing environment.Amazon EC2 reduces the time required to obtain and boot new server instances to minutes, allowing you to quickly scale capacity, both up and down, as your computing requirements change.Amazon EC2 changes the economics of computing by allowing you to pay only for capacity that you actually use. Amazon EC2 provides developers the tools to build failure resilient applications and isolate themselves from common failure scenarios. 
Key Points for Interviews:
EC2 is the basic fundamental block around which the AWS are structured.EC2 provides remote ope…