The Big Data Hadoop online training provides one with intense knowledge of the open-source project. It helps the professional to adopt a new way to process big data and store it suitably. While the name Apache Hadoop was derived from a small elephant-shaped toy, it is not a toy in any manner. The software framework of Apache Hadoop has been written in Java that allows for distributed processing and storage of very large datasets. These datasets are stored on computer clusters that are built from commodity hardware. It provides value for large web 2.0 companies and traditional enterprises alike.

Scalability

The biggest advantage one acquires by undergoing the full stack developer online course is scalability for the organization. Hadoop is highly scalable as it can be distributed over very large datasets across a host of inexpensive servers. The business thus saves on operational and maintenance costs. These servers operate in parallel to provide functionality and enhanced storage capabilities. Traditional databases like RDBMS could never handle the scalability to process large amounts of data. This capability provides Hadoop to help businesses run applications that involve millions of terabytes of data spread across thousands of nodes.

Cost-effective

The Big Data Hadoop online training also brings cost benefits to the storage solution for the business in the modern world with exploding datasets. Traditional database management systems are extremely prohibitive to scale due to costs. While businesses to stay competitive in the modern world require scalability to process massive volumes of data. Traditionally the data used to be classified on restrictive assumptions and the raw data was deleted as storing it was expensive. The scalability of Hadoop allows affordability to store the company data for use later. The savings are staggering and can be utilized to strengthen other processes.

Flexibility

The full stack developer online course allows professionals to enable their business to easily access new sources of data both structured and unstructured. This generates value for the business from a variety of sources to glean business insights. These data sources could be from email conversations, social media, clickstream, and more. Hadoop can also be used for a host of purposes like market campaign analysis, log processing, data warehousing, fraud detection, recommendation systems, and more.

Speed

The need for speed is building up constantly in the modern world which can easily be understood and tackled by professionals with Big Data Hadoop online training. The unique storage methodology that Hadoop utilizes is based on distributed filing systems that map data as per its location on the cluster. The mapping tools for processing and the data are often kept on the same server. This helps the professional to provide more speed to the process and bring out analysis and results faster through better data processing. This is ideal for large volumes of unstructured data present on different servers.

Resilience

The MapR distribution of Hadoop eliminates the NameNode while replacing it with a No NameNode architecture. This enhances the real availability of datasets at all times. The full stack developer online course allows professionals to keep a copy of the data from one node on other nodes in the cluster. This is most useful if the systems fail, while the data is safe as there is a copy of it available for use on a different cluster. This architecture allows professionals to protect their datasets from single or multiple failures easily.