Welcome to the Future – AI Hints Today
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Pyspark -Introduction, Components, Compared With Hadoop, PySpark Architecture- (Driver- Executor)
PySpark is a powerful Python API for Apache Spark, a distributed computing framework that enables large-scale data processing. Spark History Spark was initially started by Matei Zaharia at UC Berkeley’s AMPLab in 2009, and open sourced in 2010 under a BSD license. In 2013, the project was donated to the Apache Software Foundation and switched…
Deploying a PySpark job- Explain Various Methods and Processes Involved
Pyspark- DAG Schedular, Jobs , Stages and Tasks explained
Apache Spark- Partitioning and Shuffling, Parallelism Level, How to optimize these
Discuss Spark Data Types, Spark Schemas- How Sparks infers Schema?
In Apache Spark, data types are essential for defining the schema of your data and ensuring that data operations are performed correctly. Spark has its own set of data types that you use to specify the structure of DataFrames and RDDs. Understanding and using Spark’s data types effectively ensures that your data processing tasks are…
Sorting Algorithms implemented in Python- Merge Sort, Bubble Sort, Quick Sort
Mysql or Pyspark SQL query- The placement of subqueries
Lesson 3: Data Preprocessing
Lesson 2: Python for Machine Learning
Lesson 1: Introduction to AI and ML