Understanding PySpark and SparkSQL
Understanding PySpark and SparkSQL
Published 6/2024
Duration: 2h47m | .MP4 1280x720, 30 fps(r) | AAC, 44100 Hz, 2ch | 865 MB
Genre: eLearning | Language: English
Published 6/2024
Duration: 2h47m | .MP4 1280x720, 30 fps(r) | AAC, 44100 Hz, 2ch | 865 MB
Genre: eLearning | Language: English
Learn Spark dataframes, RDD, Transformation, SparkSQL and more…
What you'll learn
Perform complex data manipulations with PySpark
Execute SQL queries within PySpark for data analysis
Understand the importance and components of PySpark.
Create and transform RDDs and DataFrames
Requirements
Basic Python programming knowledge
Desire to learn and excel more
Description
Do you know the transformative power of Spark computing?
If you're ready to stand out in the competitive world of data science and big data analytics, this course is your gateway to mastering this essential skill.
This single course will teach you the fundamentals and more about
PySpark and SparkSQL
.
In Section 1
, you'll embark on an exciting journey into the world of PySpark, starting with an engaging introduction that highlights its critical role in big data processing. You'll explore the fundamental components of Spark and learn how to set up PySpark on Google Colab, ensuring you're equipped for hands-on practice from day one.
Section 2
delves deep into the core concepts of DataFrames and RDDs. You'll uncover what DataFrames are, their importance, and how to create and manipulate RDDs with Python and lambda functions. This section also covers advanced transformation techniques, enabling you to perform complex data manipulations with ease.
In Section 3
, we focus on PySpark DataFrames, providing you with the expertise to create DataFrames from schemas and CSV files, and seamlessly convert PySpark DataFrames to Pandas DataFrames. These skills are crucial for versatile data manipulation and analysis, setting you apart as a data professional.
Finally, Section 4
introduces you to SparkSQL, where you'll learn to create DataFrames, apply groupBy and aggregation techniques, and filter data with precision. You'll also gain the ability to execute pure SQL queries within PySpark, enhancing your data querying capabilities.
Join us now and elevate your data processing skills to new heights with our PySpark course.
Equip yourself with the knowledge and expertise to excel in the fast-paced world of big data, and distinguish yourself from the crowd.
Enroll today and become a PySpark PRO!
Who this course is for:
Anyone who want to explore the world of Spark Computing
Data engineers, database administrators and data professionals curious about the emerging field of Spark based computing
Software developers interested in integrating PySpark and SparkSQL into their applications.
More Info