Learn open source administration tool Apache Ambari
Description
Apache Ambari is an open source administration tool deployed on top of Hadoop cluster and responsible for keeping track of running applications and their status. Apache Ambari can be referred to as an open source web-based management tool that manages, monitors and provisions the health of Hadoop clusters.
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It provides a highly interactive dashboard which allows the administrators to visualize the progress and status of every application running over the Hadoop cluster.
Its flexible and scalable user-interface allows a range of tools such as Pig, MapReduce, Hive, etc., to be installed on the cluster and administers their performances in a user-friendly fashion. Some of the key features of this technology can be highlighted as:
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Instantaneous insight into the health of Hadoop cluster using pre-configured operational metrics
User-friendly configuration providing an easy step-by-step guide for installation
You can install Apache Ambari through the Hortonworks Data Platform
Dependencies and performances monitored by visualizing and analyzing jobs and tasks
Authentication, authorization and auditing by installing Kerberos-based Hadoop clusters
Flexible and adaptive technology fitting perfectly in the enterprise environment.
| Total Students | 5046 |
|---|---|
| Duration | 33 mins |
| Language | English (US) |
| Number of lectures | 13 |
| Number of quizzes | 0 |
| Total Reviews | 156 |
| Global Rating | 3.92 |
| Instructor Name | Techno Crats |
Course Insights (for Students)
Actionable, non-generic pointers before you enroll
Student Satisfaction
78% positive recent sentiment
Momentum
Steady interest
Time & Value
- Est. time: 33 mins
- Practical value: 7/10
Roadmap Fit
- Beginner → Beginner → Advanced
Key Takeaways for Learners
- Hands-on practice
- Real-world examples
- Project-based learning
- Hands On
- Practical
Course Review Summary
Signals distilled from the latest Udemy reviews
What learners praise
- Hands On
- Practical
- Examples
Watch-outs
- Theory only
- Too fast
- Too slow
Difficulty
Best suited for
New learners starting from zero, Learners who like theory + frameworks
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