The course is designed to provide you with the knowledge and skills to become a successful Big Data & Spark Developer.
DurationThis PySpark course is created to help you master the skills required to become a successful Spark developer using Python.
The course is designed to provide you with the knowledge and skills to become a successful Big Data and Spark developer. You will learn how Spark enables in-memory data processing and runs much faster than Hadoop MapReduce, RDDs, Spark SQL for structured processing, and different APIs offered by Spark, such as Spark Streaming and Spark MLlib.
What is Python Spark?
PySpark is the alliance of Apache Spark and Python. Apache Spark is a framework created around quickness, effortless use, and streaming analytics, whereas Python is a general-purpose programming language.
Who can go for Python Spark?
Developers and Architects BI /ETL/DW Professionals Senior IT Professionals Mainframe Professionals Freshers Big Data Architects, Engineers, and Developers Data Scientists and Analytics Professionals.
What is Python Spark Used For?
PySpark is an interface for Apache Spark in Python. It allows you to write Spark applications using Python APIs and delivers the PySpark shell for interactively examining data in a dispersed environment.
What is the prerequisite of this Certification Course?
The prerequisite for this course is: knowledge of Python Programming and SQL
Why do we use Python Spark?
Apache Spark is an open-source, spread processing system utilized for big data workloads. It uses in-memory caching and optimized query execution for quick queries against data of any size.
Is Python Spark a Promising Career?
Spark is used in the world's top organization, and it is considered the third generation of a big data world. So, the knowledge of Spark unlocks new career opportunities.
Is PySpark Better than Python?
The PySpark framework processes enormous amounts of data much quicker than other established frameworks. Python is well-suited for dealing with RDDs as it is dynamically typed.
What You'll Learn
In this course, you will learn: data processing Apache Kafka Apache Flume Spark MLlib DataFrames and Spark SQL, and more.
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