Do you hear that increasing buzz around Big Data? Does it fascinate you? If you are amazed by what such a colossal amount of data can do to businesses, if you believe that data can bring a sea of change in solving any business problem, then you should go for it. Let’s see how Big Data has revolutionized the world. And the common myths, facts surrounding learning Big Data Hadoop and other tools. On the other hand, if you have already made up your mind to take up the course, we suggest enrolling for good Hadoop online training classes right away. You might also want to consider our 40-hour Hadoop and Big Data Certification course from H2K Infosys, a market leader in IT training.
What is Big Data Hadoop for beginners?
Since the beginning of the time, consumers have always been purchasing something or the other commodities depending on their needs. It could be as simple as groceries to computer hardware, or luxury goods. Also, many consumers provided their valuable feedback. With the emergence of social media, they started voicing their opinions.
However, the point here is the businesses used to discard most of the data. One, there was a lack of storage methods using a traditional approach like RDBMS and two, they did not realize the importance of data. Slowly, the data was looked at in a different light. Subsequently, the term ‘Big Data’ was the first time used by Roger Mougalas. Simultaneously, Doug Cutting from Yahoo! developed Hadoop. And from then, there is no stopping.
Hadoop’s HDFS (Hadoop Distributed File System) and its ability to store heterogeneous data – structured, semi-structured and unstructured data using unconventional methods proved to be a sensation. On the other hand, the YARN component of Hadoop handled the resource management part of it.
While Hadoop handled the storage process of the unstructured data, Google developed the MapReduce framework to take care of the data processing part.
Various Big Data Hadoop tools:
Now, the data storage part is taken care of. The Hadoop’s HDFS can store text messages, images, videos, voice messages, social media posts, emails, journals, documents, any kind of data. A few of the top Hadoop tools which aid in storing, analyzing, integrating data are:
- MapReduce – processes big data
- Spark – quicker processing of big data
- Mahout – Machine Learning library developed to run on big data
- Hive- a data warehouse
- Pig – handles complicated data transformations
Who is eligible for Hadoop and Big Data Certification?
Big Data’s Hadoop is a major step towards putting data to good use. Therefore, learning Big Data Hadoop to make a career in the data-related field is commendable. The various career paths you can look at after Big Data Hadoop certification include:
- Big Data Engineer
- Hadoop Administrator
- Data Engineer
- Big Data Architect
- Big Data Consultant
Prerequisites:
- We at H2K Infosys think pure passion is the top requirement to enroll for the course.
- Willingness to keep updating oneself with the emerging Big Data Tools.
Good to have skills:
- Basic programming skills, preferably Java.
- Familiarity with RDBMS
Myths:
Knowledge of Java is mandatory: Hadoop is Java-based. But there are other tools like MapReduce, Hive, Pig, which can make up for the deficit. Java is not mandatory. However, one can parallelly learn Java if you think you are missing out on something.
Knowledge of Statistics is required: Unless you are aspiring to take up the role of Data Scientist, Statistics is not a mandatory skill.
Check out our website www.h2kinfosys.com for more details on Hadoop online training classes. Our course is an exhaustive program that includes training on Hadoop HDFS, introduction to Big Data, and all top Big Data Hadoop tools.
2 Responses