Apache Hadoop is a framework used to process ample amounts of data at once with a cluster setup. Apache Hadoop Development Services will allow you to store and process big data with an easy-to-access and compact framework.
When it comes to Big Data implementation, Apache Hadoop undeniably sits at the top of the table. Ksolves will help you grab the opportunity to avail the benefits of Hadoop framework. Ksolves will customize Hadoop as a service for you as per the requirements of your business.
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- Effortless Hadoop services
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Frequently Asked Questions
Apache Hadoop is used for storing and processing big data. It is an open source framework with high scalability and rapid processing speed.
HDFS is a data storage system distributed to store large amounts of data. Its integration with Hadoop makes the processing fault tolerant and quick.
Using the MapReduce framework, it is a generic API used for Mapping and Reducing in any language. Streaming is integrated with HDFS.
The components that comprise the Hadoop Architecture are:
- Job Tracker
- Task Tracker
The modules used in Hadoop are:
- Map Reduce
- Hadoop Common
Throughput is the ratio of work done to the time it took to complete. Since, there are no coherency issues in Hadoop, the framework presents high throughput value.
JSON, CSV, AVRO, Sequence Files, Columnar, etc are some of the file formats generally used with Hadoop.