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The Data Transformation Using Spark course offers a comprehensive dive into leveraging Apache Spark for processing large datasets efficiently. It begins with an Apache Spark overview, highlighting its functionality, architecture, and integration with cloud services like Azure Synapse Analytics and Azure Databricks.
Learners will gain proficiency in Spark SQL for interacting with structured data and understanding Spark SQL's features and architecture. The course also covers PySpark, detailing its features, advantages, and architecture, which is especially relevant for Python developers working with Spark.
The curriculum delves into the Modern Data Warehouse concept, emphasizing its architecture and data flow, then explores Databricks and Apache Spark Pools, including their use cases and resource management.
Practical lessons on implementing ETL processes, reading and writing data from various sources to different destinations using notebooks, and data transformation techniques are integral parts of the course. Finally, it demonstrates how to consume data using BI tools like PowerBI, integrating and refreshing data within Azure Synapse.
This course is designed to equip learners with the skills to harness Spark's power for big data challenges, leading to insights that drive business decisions.
This is a Rare Course and it can be take up to 3 weeks to arrange the training.
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♱ Excluding VAT/GST
Classroom Training price is on request
♱ Excluding VAT/GST
Classroom Training price is on request
To successfully undertake the "Data Transformation Using Spark" course, students should possess the following minimum prerequisites:
Please note that while the course will cover introductory aspects of Apache Spark and its ecosystem, having these prerequisites will enable students to grasp the concepts more effectively and apply them in practical scenarios.
This course provides comprehensive training on Spark for data transformation, targeting IT professionals involved in data analytics and engineering.
Target Audience for "Data Transformation Using Spark" Course:
In this course, students will master data transformation techniques using Apache Spark and its ecosystem, including PySpark, Spark SQL, and Databricks, with practical applications in modern data warehouse solutions.