Ever wondered how your social media posts or online transaction details are always available? And not just yours, but anyone who uses the internet can access their data whenever they want.
With the advent of technology and the internet, the amount of data generated online is humongous. According to a report, almost 90% of the data that we have today have been created over the last couple of years.
Whether it’s networking sites or weather reports, data is being generated every second and it needs to be stored for various purposes. How does this happen? Surely, all of these information can’t be stored in physical storage devices like pen drives or hard disks, unless there’s a huge football field to accommodate them.
This is where ‘Big Data’ plays a huge role. Let’s find out more about it.
What Is Big Data?
Big data is a technology that can collate and store huge amounts of data every day. The information stored is important as it allows companies to assess their customers and market their products. For example, when a product or service is advertised on Facebook, users like or comment on the post. This data is then used by companies to judge the popularity of their product and further promote or improve their marketing campaigns accordingly.
Big data, therefore, is one of the most important technologies of the modern world. However, most of the data is unstructured, which means it can’t be used for analysis and data mining. This where you need a software that can sort the unstructured data and provide data security.
How Does Hadoop Help Big Data?
Hadoop is an open-source, Java-based programming framework that’s capable of storing and processing large amounts of data. Hadoop makes use of a distributed computing framework, wherein data is formatted and stored in clusters of commodity hardware. Simultaneously, it also processes data by using cheap computers.
This software is available for free download and is run and maintained by developers from all around the world. However, nowadays, commercial Hadoop software are being made available to suit the various data processing and storage needs of organizations.
What Are The Advantages Of Hadoop?
Apart from the fact that Hadoop can process and store data quickly, there are many other reasons that makes it the most preferred data storage choice. Let’s take a look at some of them:
● Hadoop offers you the flexibility of storing data as you want. For example, in traditional databases, you would have to first process the data and then store it. But, in Hadoop, you can store anything and then analyze it later and this includes unstructured data like images, videos, and texts.
● When you’re using the Hadoop framework, you can be assured that data will not be lost due to hardware failure. If any one of the nodes become faulty, the data will automatically distributed amongst other nodes. Also, several copies of the data will be made and stored automatically.
● It’s a free open-source software that relies on commodity hardware to process and store data. You can scale it up as per your needs by adding nodes.
Why Take A Big Data And Hadoop Certification?
If you want to begin a career in the IT industry or would like to become a data analyst, then you can’t do without big data. It’s everywhere and every internet-based service relies on big data technology to store their information and analyze it. No matter which field you choose, right from social media to weather reports, big data plays a big role in keeping them up and running.
Therefore, it only makes senses that you take a certification in big data and Hadoop to add another point to your resume and eventually land better jobs.
How Will The Certification Help Me?
When you’re preparing for the certifying exam, you can take up a training course to better acquaint yourself with the subject. During your training, you will be taught about the various aspects of Hadoop and how it’s used to store big data.
Some of the things that you’ll be learning during the training are:
● A clear understanding of the Hadoop ecosystem that includes Flame and Apache oozie workflow scheduler
● Mastery over the basic and advanced concepts of Hadoop 2.7 framework
● Learning to write MapReduce programs
● Conduct detailed data analysis with the help of Pig and Hive
Apart from these, you will also be given training on setting up configurations for Hadoop clusters. With big data becoming an integral part of most businesses, mastering the Hadoop technology will help you land well-paying jobs. If you’ve been on the lookout for big data analytics jobs or want to become a software developer and architect, then a Hadoop certification will open up a world of opportunities for you.