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Pyspark RDDs a Wonder -Transformations, actions and execution operations- please explain and list them
Great question — understanding SparkSession vs SparkContext is essential, especially when dealing with RDDs, DataFrames, or any Spark internals. 🔍 TL;DR Difference FeatureSparkContextSparkSession (since Spark 2.0+)PurposeLow-level entry point to Spark functionalityUnified entry point to Spark: SQL, Streaming, Hive, RDDAPI FocusRDDs onlyDataFrames, Datasets, SQL, RDDsUsage (Modern)Used through SparkSession.sparkContextRecommended for all modern Spark appsStandalone?Used in early Spark…
Are Dataframes in PySpark Lazy evaluated?
BDL Ecosystem-HDFS and Hive Tables
HDFS: Hadoop Distributed File System – Complete Guide ✅ Why HDFS? 🔑 Common Terminology Term Description NameNode Master node, manages metadata (namespace, file locations) DataNode Worker node, stores actual data blocks Block Unit of storage in HDFS (default 128 MB) Replication Factor Number of block copies (default: 3) Rack Awareness Data placement strategy across different…
Big Data, Data Warehouse, Data Lakes, Big Data Lake, LakeHouse, Snowflake – Explain in simple words
You’re absolutely right — let’s expand this into a more readable, beginner-to-advanced guide with clear definitions, analogies, use cases, and a smoother flow. I’ll structure it with headings, explain key terms, and embed real-world relevance with examples and interview prep. 🌐 Big Data and Data Engineering Concepts — Explained Clearly 1️⃣ What is Big Data?…
Window functions in Oracle Pl/Sql and Hive explained and compared with examples
Common Table Expressions (CTEs) in Oracle Pl/Sql / Hive / Spark SQL explained and Compared
String/Character Manipulation functions in Oracle PL/SQL, Apache Hive
Date and Time manipulation in Oracle SQL, Apache Hive QL, Mysql
Python input function in Detail- interesting usecases
Python Strings Interview Questions