Quickstart Install on macOS: brew install apache-spark && pip install pyspark Create your first DataFrame: from pyspark.sql import SparkSession spark = SparkSession.builder.getOrCreate() # I/O options: https://spark.apache.org/docs/latest/api/python/reference/pyspark.sql/io.html df = spark.read.csv('/path/to/your/input/file') Basics # Show a preview df.show() # Show preview of first / last n rows df.head(5) df.tail(5) # Show preview as JSON (WARNING: in-memory) df =... Continue Reading →
100 Latest Azure Interview Questions
BASIC AZURE INTERVIEW QUESTIONS AND ANSWERS 1. What is Azure and how does it work? Azure is a cloud computing platform managed by Microsoft. It offers services and tools for building, deploying, and managing applications and services in the cloud. The Azure services can be accessed through the internet. These include virtual machines, databases, storage,... Continue Reading →
PySpark DataFrames Practice Questions with Answers
PySpark DataFrames provide a powerful and user-friendly API for working with structured and semi-structured data. In this article, we present a set of practice questions to help you reinforce your understanding of PySpark DataFrames and their operations. Loading DataLoad the "sales_data.csv" file into a PySpark DataFrame. The CSV file contains the following columns: "transaction_id", "customer_id",... Continue Reading →
Step by Step approach to Master Big Data (Free Resources)
Step by Step approach to Master Big Data (Free Resources)Step 1 - Learn SQL๐ Basics -https://lnkd.in/gdnhRk8b๐ Advanced -https://lnkd.in/g8tyEKbU๐ Leetcode -https://lnkd.in/gKeSMPmW2. Learn Python basics -๐ Python Tutorial : https://lnkd.in/gPBDBhpA๐ Python for Beginners : https://lnkd.in/gHWyQfQX3. Big Data Concepts -๐ Big Data Fundamentalshttps://lnkd.in/fWZPWKP๐ HDFS Architecturehttps://lnkd.in/fNP7bf7๐ Mapreduce Fundamentalshttps://lnkd.in/g457Wmv๐ Hive tutorial for Beginnershttps://lnkd.in/gJpDMTfD๐ Introduction to Apache Sparkhttps://lnkd.in/gFRpe3-D๐ Spark Accumulator &... Continue Reading →
Pyspark Scenarios
Check out these 23 complete PySpark real-time scenario videos covering everything from partitioning data by month and year to handling complex JSON files and implementing multiprocessing in Azure Databricks. โ Pyspark Scenarios 1: How to create partition by month and year in pyspark https://lnkd.in/dFfxYR_F โ pyspark scenarios 2 : how to read variable number of... Continue Reading →
GCP ZERO TO HERO
Do you have the knowledge and skills to design a mobile gaming analytics platform that collects, stores, and analyzes large amounts of bulk and real-time data? Well, after reading this article, you will. I aim to take you from zero to hero in Google Cloud Platform (GCP) in just one article. I will show you... Continue Reading →
Data Scientist Roadmap
How I would relearn Data Science In 2024 to get a job: Getting Started: โฌ๏ธ - ๏ Data Science Intro: DataCamp- ๏ฆ Anaconda Setup: Anaconda Documentation Programming: - ๏ Python Basics: Real Python- ๏ R Basics: R-bloggers- ๏ป SQL Fundamentals: SQLZoo- ๏ง๏ป Java for Data Science: Udemy - Java Programming and Software Engineering Fundamentals Mathematics:... Continue Reading →
Azure and Databricks Prep
๐๐๐ญ๐๐๐ซ๐ข๐๐ค๐ฌ ๐๐ง๐ ๐๐ฒ๐๐ฉ๐๐ซ๐ค ๐๐ซ๐ ๐ญ๐ก๐ ๐ฆ๐จ๐ฌ๐ญ ๐ข๐ฆ๐ฉ๐จ๐ซ๐ญ๐๐ง๐ญ ๐ฌ๐ค๐ข๐ฅ๐ฅ๐ฌ ๐ข๐ง ๐๐๐ญ๐ ๐๐ง๐ ๐ข๐ง๐๐๐ซ๐ข๐ง๐ . ๐๐ฅ๐ฆ๐จ๐ฌ๐ญ ๐๐ฅ๐ฅ ๐๐จ๐ฆ๐ฉ๐๐ง๐ข๐๐ฌ ๐๐ซ๐ ๐ฆ๐จ๐ฏ๐ข๐ง๐ ๐๐ซ๐จ๐ฆ ๐๐๐๐จ๐จ๐ฉ ๐ญ๐จ ๐๐ฉ๐๐๐ก๐ ๐๐ฉ๐๐ซ๐ค. ๐ ๐ก๐๐ฏ๐ ๐๐จ๐ฏ๐๐ซ๐๐ ๐๐ฅ๐ฆ๐จ๐ฌ๐ญ ๐๐ฏ๐๐ซ๐ฒ๐ญ๐ก๐ข๐ง๐ ๐ข๐ง ๐ฆ๐ฒ ๐ ๐ซ๐๐ ๐๐จ๐ฎ๐๐ฎ๐๐ ๐ฉ๐ฅ๐๐ฒ๐ฅ๐ข๐ฌ๐ญ. ๐๐ก๐๐ซ๐ ๐๐ซ๐ 70 ๐ฏ๐ข๐๐๐จ๐ฌ ๐๐ฏ๐๐ข๐ฅ๐๐๐ฅ๐ ๐๐จ๐ซ ๐๐ซ๐๐.0. Introduction to How to setup Account 1. How to read CSV file in PySpark 2. How to... Continue Reading →
Partition Scenario with Pyspark
๐how to create partitions based on year and month ?Data partitioning is critical to data processing performance especially for large volume of data processing in spark.Most of the traditional databases will be having default date format DD-MM-YYYY.But cloud storage (spark delta lake/databricks tables) will be using YYYY-MM-DD format.So here we will be see how to... Continue Reading →
Incremental Loading with CDC using Pyspark
โซ Incremental Loading technique with Change Data Capture (CDC): โก๏ธ Incremental Load with Change Data Capture (CDC) is a strategy in data warehousing and ETL (Extract, Transform, Load) processes where only the changed or newly added data is loaded from source systems to the target system. CDC is particularly useful in scenarios where processing the... Continue Reading →
CODEBOX 