Hadoop Administration
Apache Hadoop is an open-source software framework used for distributed storage and processing of dataset of big data using the MapReduce programming model. It consists of computer clusters built from commodity hardware. All the modules in Hadoop are designed with a fundamental assumption that hardware failures are common occurrences and should be automatically handled by the framework.
Hadoop Administration Training course assists learners with complete understanding of Hadoop framework, hadoop cluster and HDFS. From this course, you get a clear picture of:
Hadoop Administration Training course assists learners with complete understanding of Hadoop framework, hadoop cluster and HDFS. From this course, you get a clear picture of:
- Hadoop Cluster
- Cloud Management SolutionsK
- Hadoop Distribution
- Big Data Admin
- Introduction to Big Data
- Characteristics of Big Data
- Why is parallel computing important
- Discuss various products developed by vendors
- Introducing Hadoop
- Components of Hadoop
- Starting Hadoop
- Identify various processes
- Working with HDFS
- Basic file commands
- Web Based User Interface
- Reading & Writing to files
- Run a word count program
- View jobs in the Web UI
- Installation & Configuration of Hadoop
- Types of installation (RPM’s & Tar files)
- Set up ‘ssh’ for the Hadoop cluster
- Tree structure
- XML, masters and slaves files
- Checking system health
- Discuss block size and replication factor
- Benchmarking the cluster
- Advanced administration activities
- Adding and de-commissioning nodes
- Purpose of secondary name node
- Recovery from a failed name node
- Managing quotas
- Enabling trash
- Monitoring the Hadoop Cluster
- Hadoop infrastructure monitoring
- Hadoop specific monitoring
- Other Components of the Hadoop ecosystem
- Discuss Hive, Sqoop, Pig, HBase, Flume
- Use cases of each
- Use Hadoop streaming to write code in Perl / Python
Our distinct services include :
- Material and Documents: We provide real time working documents and materials to our students.
- Free System Access : We have the latest and most up to date platforms deployed on high-end servers that are available remotely and in-class on a 24/7 basis.
- Interview Preparation: We will prepare you for interviews in your specialized area by providing some real time interview questions. We also conduct mock interviews and assist you in preparing a professional resume.
- Placement Assistance: Our placement service division provides job placement support by submitting your resumes to prospective clients and emails you any new job opportunities in the market. However, we do not provide false guarantees on securing any jobs for you. We have a history of several ex-students who have secured excellent jobs based on our WORLD class training approach, implementation of case study projects and post training support.
- Initial Job Stabilization Support: We support our students to get stabilized in their job in the first TWO months. If our students come across any issues, we are there to help them. Students can send an email to us with their issues, our experts will reply back with possible solutions within 24 hours.
- Free Class Room sessions recording: In addition to the e-class training, we will give you authorization to record all of your e-class room training sessions, so that you can go back and review.
Other Courses related to HADOOP
Course registration
Instructor Led Hands-on eClassroom Training.
Key Points of Training Program :
Accomplishing a Hadoop training & Hadoop certification would promise a bright career designation like Hadoop developer, Architect, Tester, Administrator, Analyst or a Data Scientist. Learn the basics, Hadoop applications, HBase data model and architecture, schema design, MapReduce and Apache Drill. This course covers the concepts of MapReduce, Yarn, Pig, Hive, HBase, Oozie, Flume and Sqoop.
-
How beneficial is the Hadoop Course and Certification?
Dice says that, ``Technology professionals should be volunteering for Big Data projects, which make them more valuable to their current employer and more marketable to other employees``.
Key advantages are:
All top companies around the globe use Hadoop technology.
Therefore, there are a myriad of exciting job opportunities.
Owing to its importance and value, lump salary packages are offered.
Fast career growth is a guarantee. -
Who should attend Hadoop Course?
Hadoop technology training is mainly best suited for software engineers with ETL/programming background. It is also applicable for managers who are dealing with latest technologies and data management. The .NET developers and data analysts who are involved in developing applications and performing data analysis using the Hortonworks Data platform for Windows will also find this course extremely beneficial for their career advancement.
-
Prerequisites
Hands-on experience in Core Java.
Good analytical skills to grasp and apply concepts.
Programming experience with Visual studio and SQL.
Familiarity with Windows Server OS.