Everything You Need To Know About Apache Hadoop
Old data application tools are no longer valid, as they can’t deal with the increased volume and well as the variety of data we have available today. Today, more and more businesses are using data technologies to get advantage from data sets. There are so many benefits that big data is providing, such as bringing down costs, helping people make better decisions, new product development, as well enhancing their online reputation. This is one of the primary reasons why people are opting for data science certification, because they know that the industry is blooming.
Learning about Apache Hadoop
If one has to choose the best data technologies out of all the available ones, it will, without any doubt be Apache Hadoop. Hadoop is a Java based programming software network that helps in processing large amounts of data. It is one of the best tools out there that you can use for your business, thanks to its high processing power and the ability to deal with different tasks at the same time.
The idea of Hadoop was conceived back in the early 2000s, when the world was introduced to search engines. With time, data generation became more refined and that increased the need to have automated search engines. At that point, Nutch was the project that focused on this. It was a collaboration between Mike Cafarella and Doug Cutting, who wanted to make search engines faster and seamless. Later on, Cutting moved to Yahoo with Nutch. In 2008, Yahoo launched Hadoop that is managed by Apache Software Foundation (ASF) today. The company is known for its open source software like TomCat, OpenOffice, and Geronimo.
Hadoop got so much popularity was because of its ability to handle large amounts of data. It boasted of a unique system that allowed easy transfer of data. These are some of the reasons why Hadoop became the number one choice for organizations. This is one of the reasons why large companies like Google and Facebook have given their massive data sets to Hadoop, in addition to other open-source software framework that helps them to manage their evergrowing data sets. Some of the other companies that are also using Hadoop include MapR Technologies, IBM, Amazon Web Services, Microsoft, and Intel.
There are a number of big data applications in the market, but people still opt for Hadoop certification and Hadoop training because of the following reasons:
It is Affordable
Hadoop is the solution for companies that are in search of cost effective storage solutions for their expanding data sets. When organizations expand, their data also expands and that is when traditional processing tools stop being of any assistance. This is when most of the businesses turn towards costly traditional database management systems to handle their data. Hadoop handles large amounts of data and that too without breaking the bank.
It has Great Data Processing Speed
One of the reasons why Hadoop has an upper hand is because of the file system that gives it unmatchable speed. Hadoop’s data processing tools are based on the same services as the data being mapped, which allows quick processing. This is why businesses opt for Hadoop because they know that it will help them in today’s highly competitive business environment. Businesses that handle large amounts of data know what a hassle it can be to deal with unstructured data. With Hadoop, businesses can now process large amounts of data in no time.
You Get Flexibility
One good thing about Hadoop is that organizations can easily access new data sources, be it structured or unstructured in nature. Companies today can derive insights by analyzing the data like emails as well as their social media accounts. Hadoop is extremely versatile, because not only does it give you insight into different functionalities but can also be used for the following things:
- data warehousing
- fraud detection
- log processing
- market campaign analysis
- recommendation systems
The insight that Hadoop gives help organizations with their strategic planning.
It is Scalable
Businesses opt for Hadoop because it can handle more data sets, which can be achieved by adding nodes. Relational database systems (RDBMS) are expensive and they can’t handle large amounts of data. However, with Hadoop, you get the freedom of running thousands of applications and if you still need more capacity, you can do that by adding more nodes.
It Has High Fault Tolerance
Hadoop made a name for its self because it can answer all your data processing needs and because it is not susceptible to failure. In addition to this, there is no chance of data loss because once it is sent to one node; it is immediately replicated in another one, which reduces the chances of loss of data. With Hadoop, all the applications remain safe from any kind of hardware failure.
Hadoop is simple to use, which is why people opt for data science certification with its specialization. It is because of this tool that several organizations are growing. As its advantages are being discovered, more and more organizations have started using it.
Top Things to Know About Hadoop
Here are some quick facts about Hadoop that you should know about:
- One of its most attractive features is its affordability.
- It gives great support when it comes to reducing workload.
- You can revise things in case you make any mistakes because of its extremely efficient data system that gives a high level of fault tolerance.
- It provides flexibility in data processing.
- The Hadoop ecosystem is extremely strong.
- Another attractive feature that organizations love about Hadoop is its scalability.
Some of its important components include:
- Hadoop Common
- Hadoop Distributed File System (HDFS)
- Map Reduce