Digital business initiatives are providing an opportunity for moving faster and becoming more responsive to the needs of customers. Leveraging Hadoop for Big Data analytics provides an elastic infrastructure for computing and storing data independently, along with growing and shrinking clusters dynamically. This enhances an organization’s on-premise and cloud-based offerings.

Deploying Hadoop on cloud helps in preserving business flexibility and minimizing cloud lock-in. While deploying Hadoop on-premise enables efficient running of your business workloads and also helps in reducing risks, thereby providing comprehensive manageability, security, and governance.

As enterprises are retooling and gearing up for digital business, they are using Hadoop distributions for effective analysis of data stored in cloud and on-premise.

Benefits of using Hadoop Solutions are:

Hadoop Solutions Work Well in Challenging Operating Conditions

There are various conditions in a business process that require restarting such as a failed sub-process of a large job or a deadlock scenario. Hadoop solutions are able to support operations in a non-stop manner without requiring manual intervention from a system administrator.

Hadoop Solutions can Provide Cost Transparency to Customers

The pricing model of a Hadoop solution is dependent on the Hadoop units of work in particular to the Hadoop Distributed File System (HDFS) storage or YARN job units. As a result, Hadoop solution providers are able to offer such pricing models that are comparatively less expensive than others especially when taking into account the overall cost of ownership.

Hadoop Solutions can Store Data at Rest in HDFS

HDFS has gained prominence because of its reliability and cost effective storage. Data analysts and data scientists are using HDFS for interactive use. A Hadoop solution does not require its users to manage the data that is not native to Hadoop. Storing data in HDFS helps in ensuring that there are no delays and also aids in avoiding any further cost in translating data from one format to another.

Hadoop Solution Provides Appropriate Interface for Each Type of User

A Hadoop solution is capable of meeting needs of a Hadoop administrator and data scientists. Management consoles of Hadoop solutions are streamlined in a manner that help administrators in performing a set of related management tasks, with quick and minimal manual intervention.

Information management leaders and CIOs and should follow these guidelines:

• Do not base your organization’s Hadoop assessments on analysis or trials that are more than a year old; rather base it on the matured and new trails.
• Match your projects to specific business requirements in order to identify the readiness of supported technology components suitable for Hadoop.
• Assess your cloud offerings and evaluate incumbent vendors based on their service offerings such as integration, security, governance and analytics capabilities, and both on-premise and in the cloud.

The Hadoop solution ensures that a company’s data is available, scaled, patched, maintained and monitored continuously while others provide a well-run environment for running and managing cloud and on-premise offerings.