The Hadoop is nothing but a framework which is designed with help of Java language. The Java is one of the high-level programming languages which is used in all platforms. This hadoop is also a framework which is mainly used on the data science and data analytics. This course will be very useful to know deeper about the big data.
What the course is about?
As we all know about the java language is most welcomed and used language anywhere in software basis, the development of this language will also be appreciated in various platforms. Here, this programming language has indulged in the data science and the data analytics by the name of hadoop. This hadoop essentials classroom training course will be very helpful to the fresh graduates. The reason is that, the candidates can able to know about the detailed description about the works of big data analysis. The candidates can easily come across the cloud computing.
The course will let the candidate to practice in various data analytics problems. This will make the candidate grow stronger at the depth of the course. The hadoop ecosystem will be discussed in a detailed manner. The candidates can able to do their projects individually on the big data analytics. It will be possible only when they learn this course.
Who can do this course?
There are only a few types of candidates will be allowed to take this course. They are mentioned below.
ü Software professionals.
ü Experienced professionals in data analytics.
ü Fresh graduate.
ü Beginners.
ü Data analytics professionals.
ü Java program developer.
ü Data management professionals.
ü Project managers.
The course objective
While learning the course, the candidates will have some objectives in their course. Likewise, this course will also have some main objectives. They are as follows.
ü Explain about the case for Hadoop.
ü Identify the hadoop ecosystem architecture.
ü Know about Data management – HDFS, YARN.
ü Teach the Data access – Pig, Hive and several other technologies.
ü How the Data Governance & Integration – Falcon, Flume, Atlas and more is used.
ü Security is built – Kerberos, Falcon, and Knox.
ü How the Operations are done in an analysis.
ü Observe popular data transformations and processing engines in action.
ü Detail the architecture and features of YARN.
ü Describe the backup and recovery options.
ü Explain how to secure the hadoop.
ü Discuss the fundamentals of parallel processing.
ü Detail the HDFS architecture.
ü Describe the data ingestion options frameworks for batch a real time streaming.
Certification
This certification course can be either taught in online or offline mode. The candidates can approach any of the modes to learn this hadoop essentials course Budapest. The hadoop framework will be very useful to implement in all software analysis. There is a big scope for this course. The candidates can make their career strong when they learn this course. They can shine better in the data science and data analytics fields. So, the candidates can learn this course without any hesitations. The candidates will have the examination at the end of the course. They should score good marks in the examinations.