Why Consider A Hadoop Coding Bootcamp Training?
Big data is growing at an imaginable rate and is expected to reach 163 zettabytes by 2025. It’s a goldmine for businesses as they can get valuable insights to make critical decisions regarding operations, management, marketing, and investment. It has great potential, and to make the most of it, big data technologies like Hadoop have a significant role to play. They can manage and process vast amounts of diverse data in real-time and offer an accurate analysis.
What is Hadoop?
Hadoop is an open-source ecosystem that helps manage, store, and process large data sets. Instead of using a single system for processing, it conducts distributed processing through a cluster of computers. It distributes the large data sets across the network of computers, where each computer is called a node. As processing takes place in each node parallelly, it allows for efficient and quick processing of data.
· Hadoop Common: Supportive utilities and libraries for various Hadoop modules.
· Hadoop Distributed File System (HDFS™): A distributed environment where data is stored in clusters and can be accessed quickly.
· Hadoop YARN: Processing layer that handles resource management, job scheduling, and other processing needs.
· Hadoop MapReduce: A programming model where the processing of large datasets happens across a cluster of nodes. The data is processed in two phases: mapping and reducing.
Importance of Hadoop
There are plenty of reasons why Hadoop is a popular and preferred big data analytics tool.
· It can store and process extremely large and complex data sets. Due to its distributed environment, the processing is done at an incredibly faster rate.
· It can manage the complexity, velocity, and size of big data. No matter the data is structured, unstructured, or semi-structured, it can handle it efficiently.
· Stores and processes humongous amount of structured, semi-structured, or unstructured data at a faster rate.
· Processing is immune to hardware failure. Whenever a node fails in the Hadoop environment, the processing shifts to another node, ensuring continuity of the application.
· Every time data is stored in a node, a replica of it is stored in another node. This makes it tolerant to errors and node failure.
· As the Hadoop environment is created through a cluster of computers, it is easier to scale up and down by adding and removing computers/nodes in the system.
· It supports real-time analytics, which aids in quick decision-making and batch processing of datasets simultaneously.
· Compared to the vertical scaling of the traditional database systems, Hadoop can be scaled horizontally.
· The computers used in the Hadoop environment are inexpensive commodity hardware, which makes it economical.
· The data locality of Hadoop allows efficiency and reduces traffic as instead of moving data over the network, data is processed on the same node where it is stored.
Career benefits of Hadoop Coding Bootcamp Training
A Hadoop bootcamp offers specialized training in Hadoop technologies and enables you to handle different facets of the Hadoop ecosystem. Hadoop training in California offers many career benefits. Let’s look at them below.
Relevant for Diverse IT Professionals
The growth and demand in big data analytics offer an excellent opportunity for IT professionals from diverse backgrounds to enter this field. Hadoop is Java-based software. So, professionals who know Java and are interested in data analytics can benefit from Hadoop training.
Hadoop Has a Great Growth Potential
As the data landscape is growing at a tremendous speed, many companies need professionals skilled in data technologies. Hadoop comprises many technologies helpful in creating a robust big data strategy. Hadoop enables better data-led decisions, making it a valuable skill to learn.
High Demand For Hadoop Skills
Hadoop offers several benefits to organizations as it is cost-efficient, scalable, and fault-tolerant. In addition, it has a suite of technologies and packages including Kafka, Spark, Hive, Pig that supports various functions. All this makes it an in-demand technology.
A Better Pay
The average salary of a Hadoop developer is around $110,000, higher than the average salary for all job postings. The highest Hadoop salary of $123,000 is bagged by the Hadoop administrator. With experience and skills, you can demand even greater compensation.
Jobs after Hadoop Coding Bootcamp Training
After learning the relevant Hadoop skills, you are eligible for various big data job roles such as:
· Hadoop or big data developer
· Hadoop administrator
· Machine learning engineer
· Big data architect
· Data engineer
· Software development engineer
· Big data engineer
· Big data consultant
Conclusion
To grow professionally, IT professionals should update themselves with the in-demand technologies that have the potential to grow. Hadoop is one such technology that can open up doors of opportunity in the field of big data. The big data market is expanding, and if you want to benefit from its growth, it’s the right time to make the switch. With Hadoopcoding bootcamp training, you will be able to take up many big data roles emerging in various sectors such as healthcare, retail, education, manufacturing, entertainment, and more.
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