What is the differences between RDBMS Data Warehouse and big data Hadoop?

Asked by Last Modified  

3 Answers

Learn Hadoop

Follow 1
Answer

Please enter your answer

Sana

I am online Quran teacher 7 years

RDBMS (Relational Database Management System) Data Warehouse and Big Data Hadoop are two different approaches to managing and analyzing data. Here are the main differences: RDBMS Data Warehouse: 1. _Structured data_: Designed for structured data with well-defined schemas. 2. _ACID compliance_:...
read more
RDBMS (Relational Database Management System) Data Warehouse and Big Data Hadoop are two different approaches to managing and analyzing data. Here are the main differences: RDBMS Data Warehouse: 1. _Structured data_: Designed for structured data with well-defined schemas. 2. _ACID compliance_: Follows Atomicity, Consistency, Isolation, and Durability principles for reliable transactions. 3. _Schema-on-write_: Schema is defined before data is written. 4. _Vertical scaling_: Scales by increasing power of individual servers. 5. _SQL querying_: Uses SQL for querying and analysis. 6. _Data size_: Typically handles smaller data sizes (GBs to TBs). Big Data Hadoop: 1. _Unstructured/semi-structured data_: Handles unstructured or semi-structured data with flexible schemas. 2. _Non-ACID compliance_: Sacrifices some consistency for high availability and scalability. 3. _Schema-on-read_: Schema is defined when data is read. 4. _Horizontal scaling_: Scales by adding more servers to the cluster. 5. _Non-SQL querying_: Uses languages like Hive, Pig, or Spark SQL for querying and analysis. 6. _Data size_: Handles massive data sizes (TBs to PBs). Key differences: - Data structure and schema flexibility - Scalability approach (vertical vs. horizontal) - Querying languages and methods - Data size and complexity RDBMS Data Warehouses are suitable for: - Structured data with well-defined relationships - Transactional systems requiring ACID compliance - Smaller to medium-sized data sets Big Data Hadoop is suitable for: - Large-scale, complex, or unstructured data - High scalability and flexibility requirements - Advanced analytics and machine learning use cases read less
Comments
Dislike Bookmark

Wroking in IT industry from last 15 years and and trained more than 5000+ Students. Conact ME

RDBMS is for structured data with ACID properties; Data Warehouses optimize for complex queries; Hadoop handles massive, diverse datasets with scalability.
Comments
Dislike Bookmark

"Transforming your struggles into success"

**RDBMS Data Warehouse:** - **Structure:** Relational databases with structured data. - **Scale:** Scales vertically, limited by single server capacity. - **Query Language:** Uses SQL for querying. - **Use Case:** Optimized for OLAP (Online Analytical Processing) and complex queries on structured...
read more
**RDBMS Data Warehouse:** - **Structure:** Relational databases with structured data. - **Scale:** Scales vertically, limited by single server capacity. - **Query Language:** Uses SQL for querying. - **Use Case:** Optimized for OLAP (Online Analytical Processing) and complex queries on structured data. - **Data Volume:** Typically handles moderate data volumes. **Big Data Hadoop:** - **Structure:** Handles unstructured and semi-structured data with a distributed file system. - **Scale:** Scales horizontally by adding more nodes to the cluster. - **Query Language:** Uses tools like Hive, Pig, and HBase for querying. - **Use Case:** Designed for OLAP and OLTP (Online Transaction Processing) on very large data volumes. - **Data Volume:** Capable of handling massive data sets across distributed environments. read less
Comments
Dislike Bookmark

View 1 more Answers

Related Questions

What is the response by teachers for basic members?
It seems to be catching up. However the general figures are low.
Sanya
0 0
View Comments9
How many nodes can be there in a single hadoop cluster?
A single Hadoop cluster can have **thousands of nodes**, depending on hardware and configuration.
Tahir
0 0
View Comments7
I want to take online classes on database/ ETL testing. Also i look forward to teach Mathematics/Science for class X-XII
Both are co-related to each other but compare to DBA Jobs, ETL job is more demanding hence you take class for informatica tools and others.
Varsha
0 0
View Comments7
Hi, currently I am working as php developer having 5 year of experience, I want to change the technology, so can any one suggest me which technology is better for me and in future also (hadoop or node with angular js).
Big Data is cake for data processing whereas Angular is for UI framework. I would recommend you to consider learning Big Data technologies.
Srikanth
Which is easy to learn for a fresher Hadoop or cloud computing?
Hadoop is completely easy . You can learn Hadoop along with other ecosystem also . If you need any support then feel free contact me on this . i can help you to lean Hadoop in very simple manner .
Praveen
0 0
View Comments5

Now ask question in any of the 1000+ Categories, and get Answers from Tutors and Trainers on UrbanPro.com

Ask a Question

Related Lessons

Lets look at Apache Spark's Competitors. Who are the top Competitors to Apache Spark today.
Apache Spark is the most popular open source product today to work with Big Data. More and more Big Data developers are using Spark to generate solutions for Big Data problems. It is the de-facto standard...
B

Biswanath Banerjee

1 0
View Comments0
Bigdata hadoop training institute in pune
BigData What is BigData Characterstics of BigData Problems with BigData Handling BigData • Distributed Systems Introduction to Distributed Systems Problems with Existing Distributed...

Eknowledge

0 0
View Comments0
BigDATA HADOOP Infrastructure & Services: Basic Concept
Hadoop Cluster & Processes What is Hadoop Cluster? Hadoop cluster is the collections of one or more than one Linux Boxes. In a Hadoop cluster there should be a single Master(Linux machine/box) machine...

Sayan Goswami

1 0
View Comments0
Big Data & Hadoop - Introductory Session - Data Science for Everyone
Data Science for Everyone An introductory video lesson on Big Data, the need, necessity, evolution and contributing factors. This is presented by Skill Sigma as part of the "Data Science for Everyone" series.

Skill Sigma

0 0
View Comments0
Up, Up And Up of Hadoop's Future
The onset of Digital Architectures in enterprise businesses implies the ability to drive continuous online interactions with global consumers/customers/clients or patients. The goal is not just to provide...

Gopal Raj

0 0
View Comments0

Recommended Articles

Learn Hadoop and Big Data

Hadoop is a framework which has been developed for organizing and analysing big chunks of data for a business. Suppose you have a file larger than your system’s storage capacity and you can’t store it. Hadoop helps in storing bigger files than what could be stored on one particular server. You can therefore store very,...

Read full article >

Some Popular IT Courses in Current Market

In the domain of Information Technology, there is always a lot to learn and implement. However, some technologies have a relatively higher demand than the rest of the others. So here are some popular IT courses for the present and upcoming future: Cloud Computing Cloud Computing is a computing technique which is used...

Read full article >

Growth and Career Prospects in Big Data

Big data is a phrase which is used to describe a very large amount of structured (or unstructured) data. This data is so “big” that it gets problematic to be handled using conventional database techniques and software.  A Big Data Scientist is a business employee who is responsible for handling and statistically evaluating...

Read full article >

Why Should you Become a Data Scientist

We have already discussed why and how “Big Data” is all set to revolutionize our lives, professions and the way we communicate. Data is growing by leaps and bounds. The Walmart database handles over 2.6 petabytes of massive data from several million customer transactions every hour. Facebook database, similarly handles...

Read full article >

Find Hadoop near you
Hadoop in Hyderabad
Hadoop in Bangalore

Looking for Hadoop ?

Learn from the Best Tutors on UrbanPro

Are you a Tutor or Training Institute?

Join UrbanPro Today to find students near you