Our Apache Hadoop Development Services
Hadoop Architecture Design
We will assist you from scratch and lay out an architectural design that meets the requirements of your business. Our research based on your present and future data traffic will make the process effective and fruitful.
Starting from the structure and size of the Hadoop cluster to the deployment, the service will cover end-to-end implementation processes. Our Hadoop specialists will ensure that you receive the maximum benefit, whether the deployment is on-premises or in the cloud.
Whether you consider Hadoop as a service for storing data and generating analytics or integrating it with Apache Cassandra, our experienced team will ensure top-notch integration service for your convenience.
We won’t leave you alone at any stage, even after Apache Hadoop is integrated into your business setup. Your data security will remain our top priority with backup configuration, proper settings, and replication.
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Apache Hadoop Services?
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What is Hadoop used for?
Apache Hadoop is used for storing and processing big data. It is an open source framework with high scalability and rapid processing speed.
What is the Hadoop Distributed File System?
HDFS is a distributed data storage system used to store large amounts of data. Its integration with Hadoop makes the processing fault-tolerant and quick.
What is Hadoop Streaming?
Using the MapReduce framework, it is a generic API used for Mapping and Reducing in any language. Streaming is integrated with HDFS.
What is Hadoop Architecture?
The components that comprise the Hadoop Architecture are:
What are the modules used in Hadoop?
The modules used in Hadoop are:
What is ‘throughput’ in Hadoop?
In Hadoop, throughput is defined as the ratio of work done to the time taken to complete it. Due to the absence of coherency issues, the framework exhibits a high throughput value.
Why is Ksolves amongst the best DevOps Consulting Companies in USA and India?
JSON, CSV, AVRO, Sequence Files, Columnar, etc are some of the file formats generally used with Hadoop.