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Big Data Hadoop

Ankush Rathod
13 Jul 0 0

- Big data is a complex term which is difficult to manage a traditional system like RDBMS, DB2, SQL etc.

- Hadoop is an open-source software framework, for storing massive data and running applications on a cluster of the commodity.

- It provides massive storages, enumerates processing power and ability to handle multiple concord task or job.

* Characteristics of Hadoop :

1. Open source -> Free of cost

2. Volume -> No limit of data

3. Velocity -> Multithreading and Parallel processing

4. Veracity -> 100% secure

5. Verities -> Structure and unstructured

6. Variability -> Dynamic behaviour

7. Visualization -> Visualizing meaningful usage of data.

* Features of Hadoop:

1. Distributed processing

2. Fault Tolerance

3. Reliability

4. High Availability

5. Scalability

6. Economic

7. Easy to use.

 

* Limitations of Hadoop:

1. Issues with small files.

2. Support only batch processing.

3. Iterative Processing.

4. Vulnerable by natures.

5. Security.

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