Welcome to the Future – AI Hints Today
Keyword is AI– This is your go-to space to ask questions, share programming tips, and engage with fellow coding enthusiasts. Whether you’re a beginner or an expert, our community is here to support your journey in coding. Dive into discussions on various programming languages, solve challenges, and exchange knowledge to enhance your skills.
Pandas operations, functions, and use cases ranging from basic operations like filtering, merging, and sorting, to more advanced topics like handling missing data, error handling
PySpark Projects:- Scenario Based Complex ETL projects Part3
PySpark Projects:- Scenario Based Complex ETL projects Part2
Partitioning a Table in SQL , Hive QL, Spark SQL
Pivot & unpivot in Spark SQL – How to translate SAS Proc Transpose to Spark SQL
PIVOT Clause in Spark sql or Mysql or Oracle Pl sql or Hive QL The PIVOT clause is a powerful tool in SQL that allows you to rotate rows into columns, making it easier to analyze and report data. Here’s how to use the PIVOT clause in Spark SQL, MySQL, Oracle PL/SQL, and Hive QL:…
Pyspark -Introduction, Components, Compared With Hadoop, PySpark Architecture- (Driver- Executor)
🚀 PySpark Architecture & Execution Engine — Complete Guide 🔥 1. Spark Evolution Recap ⚔️ 2. Spark vs Hadoop (Core Comparison) Feature Hadoop MapReduce Apache Spark Engine Disk-based In-memory Languages Java-only Scala, Python, R, SQL Iterative Support Poor (writes to disk) Native (in-memory) Speed Slow (I/O bound) Fast (RAM usage) Ecosystem Limited Unified stack 🧱…
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