Apache Hadoop Big Data
 
At the core of Hadoop lies two essential components: the storage part, the Hadoop Distributed File System (HDFS), and the processing part, called MapReduce. Hadoop operates by breaking down files into sizable blocks and distributing them among the nodes within a cluster. For data processing, Hadoop's MapReduce mechanism transmits packaged code to nodes for parallel processing based on the data each node requires. This approach capitalizes on data locality, allowing nodes to process data they already possess. Consequently, data can be processed faster and more efficiently than traditional supercomputing architectures reliant on parallel file systems connected via high-speed networking.


This comprehensive course covers Big Data and Hadoop, covering topics like single and multi-node cluster installation, configuration, and management, HDFS management, writing MapReduce jobs, and working with various Hadoop projects such as Pig, Hive, HBase, Sqoop, and Zookeeper. It also includes cloud configuration and troubleshooting multi-node clusters.


**Who Should Enroll:**

- Programming Developers and System Administrators
- Experienced professionals, Project Managers
- Big Data Hadoop Developers seeking to diversify into Testing, Analytics, or Administration
- Mainframe Professionals, Architects & Testing Professionals
- Business Intelligence, Data Warehousing, and Analytics Professionals
- Graduates and undergraduates eager to delve into the latest Big Data technology


**Prerequisites:**

While no specific prerequisites exist for this Hadoop Certification Training, familiarity with UNIX, SQL, and Java basics would be beneficial.


Big Data technology is rapidly expanding and holds immense potential for data analytics. This training equips you with the skills to handle vast data volumes effectively. With the increasing demand for Certified Big Data professionals across significant corporations, mastering Big Data Hadoop can significantly enhance your career prospects.


**Key Learning Objectives:**

- Understanding the Hadoop Technology Stack
- Mastering the Hadoop Distributed File System (HDFS)
- Installing Apache Hadoop and troubleshooting, administering, and optimizing it
- Developing MapReduce applications
- Working with Pig, Hive, and HBase for data processing
- Deploying Hadoop in both local and cloud environments (Cloudera CDH VM, Amazon EMR, Microsoft HDInsight)


**Course Components:**

- Hadoop Big Data Training Course