Apache Spark Programming with Databricks

In this course, you will explore the fundamentals of Apache Spark and Delta Lake on Databricks. You will learn the architectural components of Spark, the DataFrame and Structured Streaming APIs, and how Delta Lake can improve your data pipelines. Lastly, you will execute streaming queries to process streaming data and understand the advantages of using Delta Lake.

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In this course, you will explore the fundamentals of Apache Spark and Delta Lake on Databricks. You will learn the architectural components of Spark, the DataFrame and Structured Streaming APIs, and how Delta Lake can improve your data pipelines. Lastly, you will execute streaming queries to process streaming data and understand the advantages of using Delta Lake.

 
Course Objectives:
 
  • Define Spark’s architectural components
  • Describe how DataFrames are transformed, executed, and optimized in Spark
  • Apply the DataFrame API to explore, preprocess, join, and ingest data in Spark
  • Apply the Structured Streaming API to perform analysis on streaming data
  • Use Delta Lake to improve the quality and performance of data pipelines
 

Course content

Databricks

 

  • Spark overview
  • Databricks platform overview
  • Spark SQL
  • DataFrame reader, writer, transformation, and aggregation
  • Datetimes
  • Complex types
  • User-defined functions (UDFs) and vectorized UDFs
  • Spark internals
  • Query optimization
  • Partitioning
  • Streaming API
  • Delta Lake

 

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Course Prerequisites

 
  • Familiarity with Python and basic programming concepts, including data types, lists, dictionaries, variables, functions, loops, conditional statements, exception handling, accessing classes, and using third-party libraries
  • Basic knowledge of SQL, including writing queries using SELECT, WHERE, GROUP BY, ORDER BY, LIMIT, and JOIN

Who can attend

 
  • Software developers
  • Data scientists
  • Big Data Analysts
  • Data Engineers
  • IT professionals interested in Big Data Analytics
  • Individuals seeking to enhance their Apache Spark skills
  • Professionals looking for data processing advancement
  • Database administrators aiming to stay relevant in the industry

Number of Hours: 30hrs

Certification

 
Databricks Certified Associate Developer for Apache Spark

Key features

  • One to One Training
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  • Fastrack & Normal Track
  • Resume Modification
  • Mock Interviews
  • Video Tutorials
  • Materials
  • Real Time Projects
  • Virtual Live Experience
  • Preparing for Certification

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  • Fastrack & Normal Track
  • Resume Modification
  • Mock Interviews
  • Video Tutorials
  • Materials
  • Real Time Projects
  • Materials
  • Preparing for Certification

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