Published 6/2023
Created by Blismos Academy
MP4 | Video: h264, 1280×720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English | Duration: 137 Lectures ( 19h 58m ) | Size: 10.7 GB
PySpark
What you’ll learn
Learners will understand the Apache Spark Foundation and Spark Architecture
How Apache Spark can be used in Data Engineering and Data Processing
Working with different Data Sources and types of Datasets
Working with Data Frames and PySpark
Use Python and Spark together to analyze Big Data
Learner will understand about PySpark RDD
PySpark DataFrames Actions and Transformation
Use of different file formats such as Parquet, JSON, CSV etc in building Data Engineering Pipelines
Requirements
Basic Knowledge of Python and SQL are necessary
Having a reliable internet connection and a strong desire to learn are essential prerequisites.
Description
Learn the latest Big Data technology, Apache Spark, and its collaboration with Python, one of the most popular programming languages. This comprehensive course covers everything from the basics to advanced levels of data analysis. Apache Spark is a highly sought-after technology in the Big Data analytics industry, with top companies like Google, Facebook, Netflix, Airbnb, Amazon, and NASA utilizing it to solve their data challenges. Its superior performance, up to 100 times faster than Hadoop MapReduce, has led to a surge in demand for professionals skilled in Spark.By mastering Spark and its DataFrame framework, which is relatively new and in high demand, you’ll position yourself as a highly knowledgeable candidate in the job market.Throughout the course, you’ll work with PySpark for data analysis, exploring Spark RDDs, DataFrames, and the various transformations and actions you can perform on data using them.In addition, the course covers essential topics such as Spark architecture, the Data Sources API, and the DataFrame API. You’ll learn how to efficiently ingest CSV files, as well as simple and complex JSON files, into the data lake as parquet files or tables.The course also delves into important PySpark transformations, including filtering, joining, simple aggregations, groupBy operations. These transformations enable you to manipulate and analyze data effectively within PySpark.Furthermore, you’ll gain expertise in creating local and temporary views, allowing you to organize and work with data more efficiently in PySpark.With a comprehensive coverage of topics ranging from Spark architecture to transformations, and view creation, this course equips you with the necessary skills to become a proficient PySpark Developer.With over 150 concise tutorial videos, this course provides a comprehensive understanding of the concepts and methodologies of PySpark. Whether you’re aiming to become a PySpark Developer or enhance your Big Data skills, this course is a must-have.
Who this course is for
Computer Science or IT Students or other graduates with passion to get into IT
Data Warehouse Developers or Testers who want to transition to Data Engineering roles
Someone who is very familiar with another programming language and needs to learn Spark
Data Engineers,Data Scientists,Data Analysts, Database Developers
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