Tech enthusiasts love to stay updated on new technologies especially when there is a new release in the tech world. Big data is the latest name to join the software industry. Online training in big data has become one of the most demanded activities by any ambitious software professional. Apache Spark has been in demand since its release. Let’s understand what works as the most demanding software in today’s technological world.
Nowadays technology changes in the blink of an eye. A new smartphone is trending before we finish our day. When it comes to impacting job creation, big data is the leading name. Hadoop and Spark serve as open source frameworks specifically used to implement big data technologies.
With the growing needs to handle large volumes of data, many organizations have been gearing up to handle it. Big data is mainly used to store and manage large volumes of data. Spark is useful for processing the data in a better way. Both go hand in hand. Let’s do an in-depth study.
Learning Hadoop is the first step
Big data has been widely accepted as an open source framework that helps data architects accelerate data operations. Helps identify various business scenarios where data science can have a powerful outcome. Without a doubt, Hadoop has been serving as a springboard for most organizations looking to leverage Big Data to facilitate their business.
It is best for students who have studied Java and SQL, although it is not required. By joining a software training institute, they can understand and master Hadoop concepts. It involves various skills in streaming, HDFS, Map Reduce, and then Apache Hive. Being associated with the same technologies, it is essential to have a strength in this framework. Once you gain proficiency in the first one, it’s time to learn Apache Spark.
Apache Spark: Your Next Step
After mastering the first one, what you can do is move on to Apache Spark. This easy-to-use interface, along with the in-memory feature, helps data analysts analyze data faster. It enables data analysts to work on data streaming and SQL or machine learning. Due to its characteristic of correcting the deficiencies of Hadoop, it has left its mark in the world of Big Data. Therefore, learning Apache Spark is necessary for your career growth. Since Spark and Hadoop work differently, many companies prefer to hire candidates who know both well.
Certifications are not necessary to scale your potential, but they help in two ways. First, you can identify the subject area that interests you the most. Then, you can go ahead and dominate in it. Second, it helps you land a better job or project. So it is always good to have a learning certification.