Hadoop and Data Lakes to Power Your Analytics

Powering analytics with Hadoop and data lakes is one of the most effective ways to increase your returns on investment (ROI). It provides the analytics team with the right information to strategize for a beneficial business future. Data analytics and data management involve several challenges, which can be simplified with the use of Hadoop.

Hadoop provides the necessary framework to help the research workers in various sectors, from storage to analysis. A great feature of the Hadoop platform is that it is not restricted to a single working model or any other language. This makes it a useful tool when it comes to scaling up. More efficient and larger research is now possible, which helps to generate an enlarged magnitude of data. This data can then be fed back into the system to obtain the results for the final objective.

The importance of a single repository of all the enterprise data cannot be stressed enough as the core Hadoop data lake enables your organization to scale.

Why is Hadoop effective?

In terms of research, Hadoop has multiple uses. The platforms function on a cluster of commodity servers. This means that the data being worked with is of massive magnitude, and multiple data sources can be treated simultaneously. This helps increase the effectiveness of Big Data with respect to Artificial Intelligence, Machine Learning, and other technologies.

Hadoop also provides rapid data access across the various nodes in the cluster. Authorized access to a part of the whole database is available for the users, making it easier for the researchers and the admin to work.

Benefits and challenges of using Hadoop

As one of the most effective solutions in data analysis and research, Hadoop has its fair share of benefits and challenges. The platform is designed to accomplish complex tasks and analysis. The data collected can be shared from among the various platforms available, thus creating a data lake. The sharing, however, does not impact the overall integrity of the ecosystem.

In terms of challenges, one of the main problems with the platform includes leveraging the massive data available into one detailed insight. Unless you know the functions and familiar with the software, it can become quite a daunting task and a complicated procedure. In case you do plan on getting into data analytics, it is best to take assistance from experts such as Impetus Technologies. They are one of the best big data consulting services companies in India.

With a constant rise in the amount of data being generated every day, there is a need for greater analytics and resulting insights for positive growth. This makes it essential to have the right tools to work with and Hadoop serves the purpose brilliantly. 

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Created on Sep 8th 2020 05:55. Viewed 381 times.

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