Big Data Analytics on Hadoop Training Course

Course overview

The Big Data with Hadoop training program provides learners with a comprehensive introduction to Big Data and Hadoop technology. The program covers a wide range of topics related to Big Data, including Hadoop architecture, Hadoop Distributed File System (HDFS), MapReduce programming model, Hadoop Ecosystem, Hadoop installation and configuration, Hadoop Streaming, Hadoop Security, and Hadoop case studies.

The program is designed to provide learners with both theoretical and practical knowledge of Hadoop technology. The program includes hands-on exercises and projects that enable learners to apply their knowledge to real-world Big Data problems.

Learning Objectives

The program starts with an overview of Big Data and its characteristics, followed by an introduction to Hadoop architecture and Hadoop Ecosystem. The program then covers Hadoop components such as HDFS and MapReduce, and Hadoop tools such as Hive, Pig, Spark, Storm, and HBase. The program also covers Hadoop administration tools such as Zookeeper and Ambari.

The program then focuses on practical aspects of Hadoop technology such as Hadoop installation and configuration, setting up a Hadoop cluster, Hadoop security, and Hadoop streaming. The program also includes a case study that illustrates the use of Big Data with Hadoop for analytics, and Hadoop in production.

At the end of the program, learners will have gained a solid understanding of Big Data and Hadoop technology, and will be able to apply their knowledge to real-world Big Data problems. The program is suitable for anyone who wants to learn about Big Data and Hadoop technology, including software developers, data analysts, database administrators, and IT professionals.

Our Unique Training Methodology

Lectures: Experienced instructors will provide comprehensive lectures on the key topics of blockchain technology.
Hands-On Labs: Participants will apply their knowledge through practical lab exercises and projects using blockchain development platforms and tools.
Group Discussions and Case Studies: Participants will analyze real-world blockchain case studies and engage in group discussions to understand its various applications.
Assessment and Certification: Participants will take a final assessment to test their understanding and receive a certificate upon completion.
Ongoing Support: Participants will have access to ongoing support from instructors and support staff.

This training methodology emphasizes hands-on learning and real-world application to provide a well-rounded and practical learning experience.

Training Medium

This Behavioral Interviewing training is designed in a way that it can be delivered face-to-face and virtually.

Course Duration

This Big Data analytics with Hadoop course skills training is versatile in its delivery. The training can be delivered as a full-fledged 60-hours training program or a 25- hours crash course covering 5 hours of content each day over 5 days

Pre-course Assessment

The prerequisites for Big Data with Hadoop training course are as follows:

Basic understanding of computer programming concepts such as variables, data types, loops, and functions.
Familiarity with a programming language such as Python, Java, or C++.
Basic understanding of database concepts such as tables, queries, and SQL.
Familiarity with Linux/Unix command line.
Basic understanding of networking concepts such as TCP/IP, DNS, and HTTP.

While these are the minimum prerequisites, it is recommended that learners have some experience working with data and databases, as well as experience working in a Linux/Unix environment. Additionally, learners should have a strong desire to learn about Big Data and Hadoop technology and should be willing to invest time and effort in completing the course assignments and projects.