Data Engineering with Databricks Course Overview

Data Engineering with Databricks Course Overview

The Data Engineering with Databricks course is a comprehensive program focused on teaching participants how to build reliable data pipelines and perform data analysis using Databricks. Learners pursuing this databricks data engineer course will gain in-depth understanding of concepts like data ingestion, ETL processes, and data visualization. This course is designed to provide a pathway to the databricks data engineering certification and will equip the learners with the skills to excel as a databricks engineer. The extensive curriculum includes modules on Spark SQL, data frames, and datasets, which are essential for data engineering with Databricks. As a result, this course will be highly beneficial for professionals who are aiming to strengthen their databricks for data engineers knowledge and skills.

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Purchase This Course

850

  • Live Online Training (Duration : 16 Hours)
  • Per Participant
  • Guaranteed-to-Run (GTR)
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♱ Excluding VAT/GST

Classroom Training price is on request

  • Live Online Training (Duration : 16 Hours)
  • Per Participant

♱ Excluding VAT/GST

Classroom Training price is on request

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Course Prerequisites

• Understanding of programming (preferably Python or Scala)
• Knowledge of distributed systems
• Familiarity with big data technologies (Hadoop, Spark, etc.)
• Basic SQL skills
• Knowledge of data architecture and databases
• Mathematical skills for data analysis.

Learning Objectives - What You Will Learn from this Course

• Students undertaking the Data Engineering with Databricks course will gain a comprehensive understanding of the Databricks platform, positioning them favorably for a Databricks data engineering certification.
• The curriculum covers essential topics like data ingestion, ETL operations, and data visualization, crucial elements in the Databricks data engineer course.
• Participants will learn how to integrate Databricks with other popular data tools, enhancing their skills as a Databricks engineer.
• The course also teaches robust strategies for data partitioning and performance optimization, which are critical for those using Databricks for data engineers.
• Finally, students will get hands-on experience in designing and automating data pipelines, an integral part of the data engineering with Databricks course. This practical aspect ensures students are well-equipped to handle real-world scenarios and challenges in their future roles as data engineers.

Why Choose Koenig for Data Engineering with Databricks Certification Training?

·
  • Certified Instructor: Expert-led training.
  • Accredited Training: Industry-recognized certifications.
  • Customized Training Programs: Tailored to individual needs.
  • 4-hour sessions: Suitable for everyone·
  • Destination Training: Learn in popular destinations like Delhi, Dubai, Singapore, London, New York, etc.
  • Affordable Pricing: Cost-effective training solutions.
  • Flexible Dates: Accommodates busy schedules.
  • Instructor-Led Online Training: Accessible and interactive.
  • Wide Range of Courses: Diverse learning opportunities.
  • 30+ years of experience – Bringing experience
  • Get certified faster: When learners value time more

Who Should Opt for the Data Engineering with Databricks Course?

Professionals like databricks engineer, software developers, IT specialists, data analysts, and data scientists can greatly benefit from taking a data engineering with databricks course. It helps in enhancing their skills and opens up opportunities for databricks data engineering certification. This databricks data engineer course is particularly useful for those aiming to specialize in databricks for data engineers.