Intuiting the potential of data in the current work dynamics, companies all across the globe are endeavoring to bank on influential Big Data technologies which brings value to their organizational structure. Apache Hadoop is one of the captivating data management frameworks that facilitates organizations with an ability to derive value from big, diverse data sets. According to Forrester, “Hadoop is inexorable as its roots are getting deeper and wider with the each passing day. Its unique approach to data management is transforming the way companies store, process, analyze and share big data”.

This foundational technology is grabbing eyeballs owing to its justifiable benefits. Be it telecommunication industry or a retailing firm, every industry vertical is leveraging this tool to achieve their perceived goals.

At the same time, they’re many who’re raising brows and still wondering about Hadoop’s ability to make a real difference. No doubt that misinterpretation or dearth of knowledge can lead to inflated expenditures, loss of business productivity and performance.

This blog attempts to outline delusions allied to the Hadoop:

Before implementing Hadoop, it is important to understand what tasks it can take up and what it can’t in order to reap its full-fledged benefits. Comprehending the technology will drive you towards the success roadmap.

Hadoop will Make Data Warehouse Obsolete

This is one of the most common delusions that Hadoop will replace data warehouse. This isn’t true as Hadoop is a cutting-edge software that is designed to aid data warehouse and provide new scope of lenses to businesses to benefit from large, diverse data sets. Besides, this cost-effective framework enables clients to share information with other databases at a breeze.

Most of the telecommunication behemoths are using big data to analyze their churn. Hadoop is embedded with the competency that promotes model scoring and even let them track the behavior of their customers through clickstream data, social media searches, or chats.

Apache Hadoop is a Single Data Management Framework

No it’s not. Actually, Hadoop has a plethora of products and technologies such as MapReduce, Pig, Hive, Knox and the list goes on. These products are offered by a range of benefactors that helps in adding various functionalities. For example Hortonworks® Data Platform allows organizations of all kinds to capture and share data in any version.

Hadoop, like other technologies will fade away

Many data center and other service providers have false impression that Hadoop wave is just a hype and will pass away in a little while. Well, Hadoop is going nowhere. Pick any research report or survey, you will get to know that it is moving to the mainstream of enterprise IT.

So far, this data management framework has gained enough traction and its growth seems unstoppable in the foreseeable future. In this regard, a research report by Forrester suggests that Hadoop is a must have platform for businesses as it is both flexible and robust. This is the reason why most of the next-generation data warehouses are supporting fully-functional Hadoop integration to manage ever-burgeoning and diversifying data sets.

Hadoop is a Data Integration Software

Hadoop offers scalability through the merger of Hadoop Distributed File System (HDFS). This framework is designed for particular data kinds wherein the facility to integrate data is absent. Thus, if a particular data is not integrated with a data warehouse ecosystem, it will be an isolated data silo. And, once it gets integrated, the information from both the warehouse and Hadoop can be further utilized for queries.

Zero Expenses Allied to Hadoop

Yes, Hadoop is an open-source software framework that is available free of cost for download. However, execution of the technology does involve some cost. It order to glean full value of Hadoop, it is important to have trained experts in place. In fact, if we compare a data warehouse with Hadoop, the data warehouse would cost less. In addition to this, a smorgasbord of applications and tools are floating in the market to support and extend the Hadoop’s functionality for making it more powerful and effective.

Hadoop has a lot of momentum as it delivers unparalleled level of convenience to store and process large volume of data, which was intolerably expensive and intricate through conventional techniques.