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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