digital marketing

Posted On : 29th September, 2016 by ViitorCloud

The ultra-connected world of today is generating the colossal amount of data at an ever-accelerating rate. This huge data includes both, structured and non-structured data and is widely known as Big Data. Owing to the power that that this data possesses, big data analytics has become an incredibly powerful tool for the businesses seeking to leverage the information derived from it to achieve competitive advantage over their counterparts.

Big data analytics helps in gleaning valuable information which can aid in better decision making, designing personalized marketing campaigns for customers and enhance the customer service. In this age of big data, organizations need an efficient system which can help in processing the massive data in an efficient and faster manner, and Hadoop is an open-source ecosystem that facilitates big data processing in an efficacious way.

What is Hadoop?
While many consider Hadoop as a NoSQL database, but it actually is an open source software-based ecosystem, which allows parallel and distributed processing on Big Data on a massive scale across the computer clusters by using the simple programming models. Hadoop can easily scale from a single computer system to the thousands of commodity systems which offer compute power and local storage.
Hadoop comprises of the different modules which work together for creating the Hadoop framework and delivering the computing services. These modules include:
• Hadoop Distributed File System
• Hadoop Common
• Hadoop Yarn
• Hadoop MapReduce

While the aforementioned modules comprise the core of Hadoop, but there are several other modules which subsume the Hadoop. These include Sqoop, Flume, Oozie, Pig, Hive, Cassandra, Avro and Ambari. These extra modules enhance the computing and data processing capabilities of Hadoop.
Owing to the benefits and ease of use, Hadoop is being widely used worldwide by the organizations for processing the big data and carrying out big data analytics. In fact, many experts believe that Hadoop has become a de facto standard for the big data applications.

How Hadoop is an Ideal System for Big Data Management?

Big Data is growing exponentially with no signs of slowing down in the near future. Innovations including NoSQL Databases and Hadoop are playing an instrumental role in the Big Data management. Enterprises, across the globe are investing heavily in these innovations and are leveraging big data for gleaning competitive advantage. Hadoop is considered as a perfect system for the big data management. The outstanding characteristics of Hadoop, which make it ideal for the big data environment are:

Scalability

Hadoop, being an amazing storage platform offers extraordinary scalability. The Hadoop is designed in a way that it can offer massive storage to colossal data sets with more than hundreds of individual nodes. These supports parallel processing, while presenting data at considerably high speed. One of the best features of the Hadoop is that it can be easily scaled up for accommodating data sets of any size. This can be further improved to hold over thousand terabytes of information. This is a major advantage over the conventional relational database software.

Flexibility

Hadoop allows you to access different types and sources of data, including both structured and unstructured data. In this way, businesses can easily collect and leverage the data from an array of sources like clickstreams, social media and email conversations. An addendum to this, Hadoop ecosystem can also be utilized for processing, warehousing data, logs and analysing an organization’s campaign.

Cost Efficiency

When compared with the relational database systems, Hadoop is extremely cost efficient. Moreover, the infinite scalability of the Hadoop allows you to store as much data as you want without any restriction and at considerably lower costs.

Undoubtedly, Hadoop presents a reliable method for big data handling and management. It is a feature-rich and capable ecosystem which is ideal for storing, retrieving and processing big data. Access to data is much faster and it can be easily streamed in the real time with Hadoop. Furthermore, in the long run, Hadoop proves itself to be far more cost-efficient than any other relational database system.

ViitorCloud is a leading technology services company that enables its clients with the Big Data resources and offers analytics services to derive useful information from the heaps of colossal data. With our Big Data services, we help our clients gain an edge over their competitors and evolve as market leaders in their niche.