Apache Zeppelin is an open-source, web-based notebook platform that enables data-driven, interactive data analytics and collaborative work. It provides an environment for performing data exploration, visualization, and analysis using various programming languages, including but not limited to Apache Spark, SQL, Python, R, and others. Zeppelin allows users to create and share documents called notebooks, which can contain live code, equations, visualizations, and narrative text. In this Apache Zeppelin training makes you an expert in building the applications by leveraging capabilities of Problem handling in data sharing, Apex Design pattern in the data management, Usefulness of Data collaboration features and etc. The course also includes Key terms associated with the data analytics, Realistic approach in data visualization and simulation. This Certification course prepares you to build applications by including elements such as issue solving in data sharing, the Apex Design pattern in data management, and the utility of data collaboration features, among others. The training also covers data analytics terminology, a realistic approach to data visualization, and simulation.
Course Objectives:
In this course, you will learn to:
- Learn how to install Apache Zeppelin in Ubuntu using Docker.
- Gain knowledge to set up a MySQL interpreter to communicate with Apache Zeppelin.
- Create Line Chart Visualization in Interactive Notes With a simple SQL command.
- Use MySQL Workbench to load CSV data into MySQL.
- Explore the basics of data analytics, data visualization, data collaboration features, and the Apex Design pattern in data management
Course content
Introduction Data Analytics
- Overview of data analytics
- Importance of data analytics in today’s world
- Data Analytics process
- Tools and technologies used in data analytics
Realistic approach in data visualization
- Realistic approach in data visualization and simulation
- Data Visualization and its importance
- Understanding different visualization techniques
- Simulation of data
- Real-time data processing
Usefulness of Data collaboration features
- Collaboration tools and techniques
- Collaboration in data analytics
- Sharing and integration of data
- Managing and organizing data
Future scope of Apache Zeppelin Training
- Overview of Apache Zeppelin
- Future trends in data analytics
- Advancements in Apache Zeppelin
Apex Design pattern in the data management
- Understanding data management
- Apex design patterns
- Best practices for data management
- Strategies for data storage and retrieval
Problem handling in data sharing
- Issues in data sharing
- Data sharing protocols
- Techniques for data security
- Handling data sharing errors
Key terms associated with data analytics
- Commonly used terms in data analytics
- Data processing terminologies
- Statistical terminologies
The right path for Apache Zeppelin certification (Optional)
- Certification options for Apache Zeppelin
- Exam details and requirements
- Preparation tips for certification
Object oriented learning
- Overview of object-oriented programming
- Concepts of object-oriented programming
- Implementing object-oriented programming in data analytics
To see the full course content Download now
Course Prerequisites
- Basic understanding of data analytics and visualization
- Familiarity with programming languages such as Python or R
Who can attend
- Data analysts and scientists
- Business analysts and intelligence professionals
- IT professionals and developers
Number of Hours: 30hrs
Certification
NoneKey features
- One to One Training
- Online Training
- Fastrack & Normal Track
- Resume Modification
- Mock Interviews
- Video Tutorials
- Materials
- Real Time Projects
- Virtual Live Experience
- Preparing for Certification
FAQs
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- Resume Modification
- Mock Interviews
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- Materials
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- Materials
- Preparing for Certification
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