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Cloudera Data Analyst Training for Apache Hadoop
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- Cloudera Data Analyst Training for Apache Hadoop
Cloudera Data Analyst Training for Apache Hadoop
Overview
In this Apache Hadoop certification training programme for data analysis will guide candidates how to create robust data processing applications using Apache Hadoop. Apache Hadoop is the most widely used open-source software for optimizing data management by putting the right Big Data workloads in the right systems. Comprehensive training on Hadoop, whether you are a developer, administrator, or data analyst, ensures that your organization can reap the benefits of a Big Data implementation. Candidates will understate technical knowledge on how to debugging, Hadoop development, and implementation of workflows and common algorithms. And also learn how to leverage Hive, Sqoop, Oozie, Flume, Pig, and other Hadoop ecosystem projects.
Audience
Apache Hadoop certification course will be suited for developers and engineers who have programming experience.
Course Prerequisites
- This certification course is designed for data analysts, business intelligence specialists, developers, system architects, and database administrators. Knowledge of SQL is assumed, as is basic Linux command-line familiarity
- Understanding of at least one scripting language (e.g., Bash scripting, Perl, Python, Ruby) would be helpful but is not essential
- Prior knowledge of Apache Hadoop is not required
- Need More Info ? | Email: info@skilldynamo.com or | Enquire Now !
Course Content / Exam(s)
Schedule for Cloudera Data Analyst Training for Apache Hadoop Training & Certification Courses
| Course# | Course Name | Exam# | Duration (days) |
|---|---|---|---|
| 20740B | Cloudera Data Analyst Training for Apache Hadoop Training & Certification Courses | 70-740 | 5 |
- Need More Info ? | Email: info@skilldynamo.com or | Chat with the Experts Now !
Cloudera Data Analyst Training for Apache Hadoop Benefits
After Successful completion this course, you will be able to:-
- Using with Pig
- Understand and view the Schema
- Filter and Sorting Data
- Perform Grouped Data
- Make Hadoop’s Web UI
- Understand about Schema and Data Storage
- Make Hue to Execute Queries
- Modify Queries with Views
- Choice to make File Format
- Maintain Metadata
- Control Access to Data
- Comprise Complex Values in Hive
- Use Regular Expressions in Hive
- Understand Sentiment Analysis and N-Grams
- Understand Query Performance
Enquire Now
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