Companies globally rely heavily on data in order to remain competitive. Utilizing data can bring numerous advantages to your business, such as the ability to predict trends, reduce losses, improve customer service, increase pipeline efficiency and maximize the productivity of software and other services.
Therefore, information is essential for modern commercial activity. The software you use to handle your data is as crucial as the data itself.
Hadoop, an open-source platform, is a useful tool for data management.
When Asked, “What Is Hadoop?”
Hadoop is an open-source framework designed to manage and store data, enabling large-scale data processing. It offers an extensive storage capacity, suitable for both structured and unstructured data, and provides the ability to run numerous concurrent processes.
To rephrase, Hadoop is a powerful resource to have if you own massive amounts of data.
Hadoop was originally developed by Doug Cutting and Mike Cafarella as a web search engine, named Nutch. Nutch was designed to enable multiple tasks to be carried out in a parallel fashion across a network of computers, so as to speed up the delivery of search engine results. This concept was similar to the development of Google, which took place at the same time. Unfortunately, Cutting and Cafarella were not able to compete with Google.
In 2006, the Nutch project was taken over by Yahoo, and divided into two components; the web crawler was renamed Hadoop. Hadoop is a sophisticated framework that was first released as an open-source project by Yahoo in 2006 and is now developed and maintained by the Apache Software Foundation.
Hadoop provides a narrow set of advantages that might be useful to several businesses:
- Capacity to receive, store, and analyze massive volumes of information of any kind.
- Method of computing based on the distribution of resources, which allows for the rapid processing of big data sets.
- In addition to safeguarding information from human error, the distributed approach also shields it against the destruction of hardware.
- It is not necessary to preprocess data before storing it.
- For no cost on standard hardware.
- Super scalable.
The Hadoop architecture is composed of four main components: the Hadoop Distributed File System (HDFS), which provides improved data throughput; Yet Another Resource Negotiator (YARN), which manages the cluster nodes; MapReduce, a framework which enables parallel computing on data; and Hadoop Common, which provides the essential Java libraries.
What Role Might Hadoop Play in Marketing?
It can be affirmed that Hadoop enables marketers to communicate with their target audience on a personal level. To illustrate, without the abundance of customer data, marketing activities are likely to be ineffective as they are unaware of trends, the customer demographic, desired services and products, potential locations and the most financially rewarding sectors.
Hadoop’s data processing capabilities provide the advertising department with a powerful tool to target a select audience, thereby avoiding over-extension of marketing efforts. Additionally, the automation of a portion of the process ensures that the data has been pre-segmented, allowing the marketing team to develop highly targeted and well-structured advertisements that are more successful with modern audiences.
Hadoop for Online Advertising
As an example, your advertising network may have 100,000 clients and 10,000 active projects. This includes all relevant media assets, subscriptions, applications, tracking data, clicks, views and product descriptions.
Considering the enormous amount of data that a digital marketing team must evaluate, the task can be daunting and time consuming. Fortunately, Hadoop is a framework that can make this seemingly impossible undertaking much more manageable. In a short space of time, Hadoop can process large data sets and transform them into meaningful insights that can be used by the digital marketing team.
By utilizing the vast amounts of behavioral data available, your team can create precise models that are tailored to the needs, wants, and location of the client. Refining your targeting (CTR) can significantly increase your click-through rate and precision in digital marketing.
Finally, Hadoop’s capacity to enable organizations to gain a deeper understanding of their customers could result in increased customer retention, conversion rates, and profitability.
In what way would it not benefit a company? The fact that Hadoop is free and open source means it may be used by any area of your company.
