Krisar's training services are designed to equip individuals and organizations with the skills and knowledge needed to excel in today’s competitive environment. Led by highly qualified instructors with ample experience in their respective fields, the training programs focus on practical, real-world applications. These experts bring a wealth of knowledge, ensuring that participants receive top-tier education tailored to industry-specific needs. Whether it's technical skills development or leadership training, Krisar's instructors provide a hands-on, engaging learning experience that fosters growth and innovation.

Each instructor at Krisar is carefully selected for their deep expertise and proven track record in their domains, ensuring that the training programs are both relevant and impactful. With years of experience working in various industries, they offer valuable insights that go beyond textbooks, helping participants understand current trends, best practices, and strategies for overcoming challenges in their professions. The result is a comprehensive training service that not only enhances skills but also empowers participants to apply their learning effectively in real-world scenarios.

**For Experienced Developers Transitioning to Data Platforms** This path is crafted for ETL developers who wish to expand their expertise into a data platform environment. It covers essential data engineering technologies and includes advanced Spark training for experienced professionals.

• Data Platform Basics: Learn essential data platform architecture and map technologies to real-world applications.
• Scala / Python Basics: Foundational programming skills, customizable to align with your company’s tech stack.
• Spark Basics: Introduction to distributed data processing with Spark, focusing on key concepts and functionality.
• Building an End-to-End Spark Application: Gain hands-on experience in creating complete Spark workflows, from data ingestion and analytics to serving and reporting.
• Spark Advanced (Streaming): An optional deep dive into real-time data processing with Spark Streaming, suitable for advanced use cases.

Comprehensive Training for Beginners Entering Data Engineering
This bootcamp is tailored for those new to data engineering. It covers fundamental data engineering concepts, including SQL and data warehousing, along with essential programming skills to build a solid foundation for entry-level roles.

• SQL Intro: Core SQL concepts and query techniques, providing a solid foundation for data manipulation.
• Databases / Data Warehousing: Introduction to data modeling principles and best practices in database and data warehouse design.
• Data Platform Basics: Explore the architecture and technology stack of modern data platforms, preparing for more specialized training.
• Scala / Python Basics: Programming essentials tailored to the data engineering context, with a focus on scalability and adaptability.
• Spark Basics: Foundational skills for distributed computing and data processing, focusing on Spark’s role in big data.
• Building an End-to-End Spark Application: Practical experience in creating Spark workflows from data ingestion to analytics and reporting.
• Spark Advanced (Streaming): Optional module for those interested in mastering real-time data streaming.

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Individual Modules

Tailored Training for Specific Data Engineering Skills
Krisar Infotech offers individual modules designed to meet specific client needs. Our flexible training approach allows us to customize modules for specialized skills in data engineering tools or cloud platforms.

• Spark: In-depth training on Spark, from basic processing to advanced applications.
• Scala: Comprehensive Scala training for data processing and functional programming.
• Cloud: Training on cloud platforms such as Azure, GCP, and AWS, with a focus on data engineering applications.
• Airflow: Workflow orchestration essentials to manage and streamline complex data pipelines.
• Databricks: Training in Databricks for collaborative data processing, analytics, and machine learning.
• Cloudera: Hands-on Cloudera training, with emphasis on big data and Hadoop ecosystem management.