Hadoop has not yet reached the levels that many of us predict that it will reach. Despite this, there is still significant chatter about the software.
Not all of this chatter is accurate and many people discuss it with little knowledge of how Hadoop works or even what it really is.
We have identified 6 of the most common myths surrounding Hadoop and aim to show you the truth about them.
Hadoop Is Cheap
Hadoop is technically free, it is a freely downloadable system that costs nothing. However, saying that it is a free service is not true in the slightest.
In order to effectively use Hadoop you need to have an engineer who has significant experience in the area, space to store the data and systems/databases where Hadoop can mine the data. It is like being given a Ferrari, you know it can go fast and that it will perform well, but you still need to pay a significant amount of petrol, upkeep and insurance, just to get it on the road.
Hadoop Can Replace All Existing Systems
Hadoop works by combining data from multiple sources and creating analyses based from this multi faceted data. What it cannot do is replace databases, warehouses or the ways in which the data is collected.
Systems still need to be in place that can provide the data on which Hadoop can work. This means that you need to have somewhere to store it, which is always one of the most expensive parts of any data programme.
Hadoop Doesn’t Need Vendors
There is a commonly held belief that because Hadoop is a framework that can be used to analyze data, that vendors are simply making tasks easier to do with it. The truth is that vendors make Hadoop successful, there is a reason that they have seen such significant growth (some have even gone public). This is because they make Hadoop useable and bring out the potential that it has.
Many of the key programmers who had a hand in the creation of the Hadoop framework ply their trade making it better within these vendor companies. Think of it as Hadoop creating the strongest possible foundations and the vendors building the actual house on top.
Hadoop Results Will Be Quick And Obvious
Many expect that as soon as you have Hadoop implemented at your company, that you are instantly going to have significant results in terms of the speed of analysis, the amount of data analyzed and the results from these.
Although the results can be significant, they take time to arrive and this needs to be expected. In order to fully recognize the potential of Hadoop, time needs to be taken to get it right. Expectations of instantaneous results can do significant harm to the longevity, and this rewards, of the project.
Hadoop Is For Dealing With Large Data Volumes
Hadoop has several uses, but purely dealing with large volumes of data is not one. It will deal with almost any amount that you could throw at it, but what makes it great is not the amount of data that it can run through, but the diversity of the data.
Having data being input from multiple sources creates the potential for more detailed analysis that pulls in more information and therefore creates a better output. This is the primary reason for using Hadoop, as processing data is something that can simply be done through faster computers, the ability to ingest data from multiple data sets, is what makes Hadoop great.
Hadoop Is An Individual Piece Of Software
Hadoop is a library of different programmes, as well as programmes from Apache it includes database management systems, advanced analytics frameworks and reporting packages. It is therefore more of an all encompassing name for this package than an individual piece of software