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This video on PySpark Tutorial will help you understand what PySpark is, the different features of PySpark, and the comparison of Spark with Python and Scala. Then, you will learn the various PySpark contents - SparkConf, SparkContext, SparkFiles, RDD, StorageLevel, DataFrames, Broadcast and Accumulator. You will get an idea about the various Subpackages in PySpark. Finally, you will look at a demo using PySpark SQL to analyze Walmart Stocks data. Now, let's dive into learning PySpark in detail.

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This Data Engineering course is ideal for professionals, covering critical topics like the Hadoop framework, Data Processing using Spark, Data Pipelines with Kafka, Big Data on AWS, and Azure cloud infrastructures. This program is delivered via live sessions, industry projects, IBM hackathons, and Ask Me Anything sessions.
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Real-Time Data Processing
Data Pipelining
Big Data Analytics
Data Visualization
Provisioning data storage services
Apache Hadoop
Ingesting Streaming and Batch Data
Transforming Data
Implementing Security Requirements
Data Protection
Encryption Techniques
Data Governance and Compliance Controls

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