A growing no. of big organizations are making use of Big Data to drive their businesses in today’s times. Each organisation has large amount of data which needs to be organised and made available in a simple form. This data form is called as Big Data and to make use of the same, a professional needs to be proficient in the data extraction and manipulation process, which can be learned by enrolling for a Big Data Hadoop Developer training course.
A Hadoop certification is invaluable to work in several IT organisations and in other fields as well. The software Hadoop by Apache helps organise data across several servers, even when some of the computers on the server are not functional. Once you enrol for the course, experienced instructors will take you through the basics of Big Data as well as Hadoop, and discuss several live cases also. With the interactive sessions, the instructor helps aspirants understand programming concepts and skills easily.
Robust data processing applications can be developed with the help of Hadoop. Concepts covered during the training include MapReduce, Hadoop Distributed File System (HDFS), Pig, Hive, ZooKeeper, Flume and Sqoop. You can be assured that fundamentals will not be ignored at any cost at a reputed training institute.
Topics to be covered
Hadoop developer training will cover the following topics:
# Setting up various configurations of the Hadoop cluster
# Knowing about concepts of Hadoop EcoSystem, Apache Hadoop, MapReduce and HDFS
# Debugging the MapReduce applications
# Monitoring the Hadoop cluster by knowing ideal networking and hardware settings
There are not too many pre-requisites to take up the Hadoop developer course. However, basic knowledge of SQL and Core Java are helpful. Java essentials are important for a complete understanding of Hadoop.
Applications of Big Data in industry
As mentioned in the initial paragraph of this article, Big Data is applicable to a large number of industries. The practical applications of this technology can be seen in the following ways:
1. Analysis of social bookmarks to find insights into business
2. Detailed analysis of various customer complaints
3. Data analysis of tourism industry
4. Data analysis of airlines
5. Analysis of YouTube data
6. Analysis of movie ratings
Job prospects in Big Data
Here are some insights to tell you about the prolific growth of Big Data across industries. In the next 3 years, more than half of the digital data in organizations is expected to move towards Hadoop. As per McKinsey Global Institute, it is estimated that there will be a big shortfall of Big Data professionals in coming 3 years.
Clearly, there is a need for participants to upskill themselves in this domain. To understand the world of Big Data in greater detail, one should enrol for Hadoop Developer training in Delhi.
A Hadoop certification is invaluable to work in several IT organisations and in other fields as well. The software Hadoop by Apache helps organise data across several servers, even when some of the computers on the server are not functional. Once you enrol for the course, experienced instructors will take you through the basics of Big Data as well as Hadoop, and discuss several live cases also. With the interactive sessions, the instructor helps aspirants understand programming concepts and skills easily.
Robust data processing applications can be developed with the help of Hadoop. Concepts covered during the training include MapReduce, Hadoop Distributed File System (HDFS), Pig, Hive, ZooKeeper, Flume and Sqoop. You can be assured that fundamentals will not be ignored at any cost at a reputed training institute.
Topics to be covered
Hadoop developer training will cover the following topics:
# Setting up various configurations of the Hadoop cluster
# Knowing about concepts of Hadoop EcoSystem, Apache Hadoop, MapReduce and HDFS
# Debugging the MapReduce applications
# Monitoring the Hadoop cluster by knowing ideal networking and hardware settings
There are not too many pre-requisites to take up the Hadoop developer course. However, basic knowledge of SQL and Core Java are helpful. Java essentials are important for a complete understanding of Hadoop.
Applications of Big Data in industry
As mentioned in the initial paragraph of this article, Big Data is applicable to a large number of industries. The practical applications of this technology can be seen in the following ways:
1. Analysis of social bookmarks to find insights into business
2. Detailed analysis of various customer complaints
3. Data analysis of tourism industry
4. Data analysis of airlines
5. Analysis of YouTube data
6. Analysis of movie ratings
Job prospects in Big Data
Here are some insights to tell you about the prolific growth of Big Data across industries. In the next 3 years, more than half of the digital data in organizations is expected to move towards Hadoop. As per McKinsey Global Institute, it is estimated that there will be a big shortfall of Big Data professionals in coming 3 years.
Clearly, there is a need for participants to upskill themselves in this domain. To understand the world of Big Data in greater detail, one should enrol for Hadoop Developer training in Delhi.