32 Hrs
2555+ Enrollments
Cloudera Data Analyst Training
Cloudera Data Analyst Training is a comprehensive course designed to teach data analysts how to work with big data using Hadoop. The course covers everything from basic Hadoop concepts to advanced data analysis techniques. With this course, you will learn how to query and process complex data sets using Hive and Pig, as well as how to use Hadoop tools such as Sqoop and Flume.
Cloudera Data Analyst Training
Overview of Course
The Cloudera Data Analyst Training course is designed to provide the knowledge and skills required to work with complex data sets using the Hadoop ecosystem. The course covers topics such as data analysis, querying, and data processing using tools such as Hive and Pig.
Course Highlights
Learn Hadoop concepts and architecture
Understand data analysis and processing using Hive and Pig
Explore data warehousing techniques
Key Differentiators
Personalized Learning with Custom Curriculum
Training curriculum to meet the unique needs of each individual
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Flexible Schedule & Delivery
Choose between virtual/offline with Weekend options
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Real-world Projects
We work with experts to curate real business scenarios as training projects
Skills You’ll Learn
Hadoop concepts and architecture
Data analysis and processing using Hive and Pig
Data warehousing techniques
Real-world project experience
Training Options
1-on-1 Training
Access to live online classes- Flexible schedule including weekends
- Hands-on exercises with virtual labs
- Session recordings and learning courseware included
- 24X7 learner support and assistance
- Book a free demo before you commit!
Corporate Training
- Everything in 1-on-1 Training plus
- Custom Curriculum
- Extended access to virtual labs
- Detailed reporting of every candidate
- Projects and assessments
- Consulting Support
- Training aligned to business outcomes
Unlock Organizational Success through Effective Corporate Training: Enhance Employee Skills and Adaptability- Choose customized training to address specific business challenges and goals, which leads to better outcomes and success.
- Keep employees up-to-date with changing industry trends and advancements.
- Adapt to new technologies & processes and increase efficiency and profitability.
- Improve employee morale, job satisfaction, and retention rates.
- Reduce employee turnovers and associated costs, such as recruitment and onboarding expenses.
- Obtain long-term organizational growth and success.
Course Reviews
Curriculum
- Overview of Hadoop and its ecosystem
- Introduction to Big Data and its challenges
- Understanding Hadoop's architecture and components
- Detailed explanation of Hadoop's architecture
- Hadoop's ecosystem and its components
- Hadoop's distributed computing model
- Introduction to HDFS
- Understanding the HDFS architecture
- HDFS file operations and management
- Introduction to MapReduce
- Understanding MapReduce programming model
- Developing MapReduce applications in Hadoop
- Introduction to Hive
- Hive architecture and data modeling
- Hive queries and performance optimization
- Introduction to Pig
- Pig Latin scripting language
- Developing Pig applications in Hadoop
- Introduction to data warehousing
- Understanding data warehouse architecture
- Data warehousing tools and techniques
- Introduction to Flume and Sqoop
- Flume architecture and data ingestion
- Sqoop architecture and data integration
- Applying Hadoop concepts to real-world projects
- Building end-to-end Big Data solutions
- Hands-on experience with Cloudera Data Analyst tools
Meet the instructor and learn about the course content and teaching style.- Make informed decisions about whether to enroll in the course or not.
- Get a perspective with a glimpse of what the learning process entails.
Description
Target Audience:
- Data analysts
- Business analysts
- Data scientists
- IT professionals
Prerequisite:
- Basic knowledge of Linux
- Basic knowledge of SQL
Benefits of the course:
- Gain expertise in Hadoop and big data technologies
- Learn data analysis and processing techniques using Hive and Pig
- Receive hands-on experience with real-world projects
- Boost your career prospects with a certificate
Exam details to pass the course:
- There is no exam for this course. However, to receive a certificate, you must complete all the course assignments and pass the final project.
Certification path:
- There are no specific certification paths associated with this course. However, Cloudera offers various certifications in Hadoop and big data technologies that you may pursue after completing this course.
Career options after doing the course:
- Data Analyst
- Business Analyst
- Data Scientist
- Hadoop Developer
- Big Data Engineer
Why should you take this course from Skillzcafe:
Industry-expert instructors- Hands-on experience with real-world projects
- Flexible learning options
- Affordable course fees
- Certificate upon completion
FAQs
Yes, this course is suitable for beginners with some basic knowledge of Linux and SQL.
You should have basic knowledge of Linux and SQL.
Yes, you will receive a certificate upon completing all the course assignments and passing the final project.
You can pursue a career as a data analyst, business analyst, data scientist, Hadoop developer, or big data engineer.
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