Netflix Data Engineering Summit

Netflix  recently hosted their Data Engineering Summit, bringing  engineers from different teams together to share many use cases and best practices.  Having the chance to watch all the series, It provides valuable insights on various topics, especially in designing and executing products and services at scale. A big shout-out to Netflix team ๐Ÿ‘ Here is... Continue Reading →

๐Œ๐ข๐ ๐ซ๐š๐ญ๐ข๐ง๐  ๐•๐Œ๐ฌ ๐ญ๐จ ๐†๐‚๐ ๐Ÿ๐ซ๐จ๐ฆ ๐Ž๐ง-๐๐ซ๐ž๐ฆ, ๐•๐Œ๐ฐ๐š๐ซ๐ž, ๐€๐–๐’, ๐€๐ณ๐ฎ๐ซ๐ž

๐Œ๐ข๐ ๐ซ๐š๐ญ๐ข๐ง๐  ๐•๐Œ๐ฌ ๐ญ๐จ ๐†๐‚๐ ๐Ÿ๐ซ๐จ๐ฆ ๐Ž๐ง-๐๐ซ๐ž๐ฆ, ๐•๐Œ๐ฐ๐š๐ซ๐ž, ๐€๐–๐’, ๐€๐ณ๐ฎ๐ซ๐ž Moving your virtual machines (VMs) to the cloud offers numerous benefits, from scalability and cost savings to increased agility and security. But choosing the right path and navigating the complexities can be daunting. This guide simplifies the process, covering migration strategies for various environments (on-premises, VMware,... Continue Reading →

Databricks Learning Path

If you know working with databricks, it helps lot in your data engineering jobโ€ฆYou can learn databricks hereโ€ฆ1. Learn databricks basics here...https://lnkd.in/gQNKd8HEhttps://lnkd.in/gf_-6EEg2. pyspark with databricks herehttps://lnkd.in/g2iTevyJ2.1 azure databricks with python herehttps://lnkd.in/gyeNtq8n2.2 databricks with scala herehttps://lnkd.in/gzMAcm3s2.3 databricks with sql herehttps://lnkd.in/gdby9_bj3. databricks with spark herehttps://lnkd.in/g-YT-qiF4. databricks on AWShttps://lnkd.in/gYcxe8Tn5. official guide to learn databricks herehttps://lnkd.in/gt8sQeeH6. Databricks projectshttps://lnkd.in/gtpa7jhRhttps://lnkd.in/gdWUBUN9follow this... Continue Reading →

Data Engineering with Cloud Resources link

learn here about data pipeline for FREE.....data pipeline consists of several stages that work together to ensure that data is processed efficiently and accurately. it involves....1. data ingestion2. data transformation3. data analysis4. data visualisation5. data storage๐Ÿ“Œ complete data pipeline diagram can be found here....https://lnkd.in/gdifVyHY๐Ÿ“Œ FREE guide to data pipeline in AWS, Azure cloud....https://lnkd.in/gtq_8rd9๐Ÿ“Œ learn more... Continue Reading →

500+ Data Engineering Interview questions & Answers

1.  What is Hadoop MapReduce? A.) For processing large datasets in parallel across hadoop cluster, hadoop mapReduce framework is used. 2.  What are the difference between relational database and HDFS? There are 6 major categories we can define RDMBS and HDFS. They areData TypesprocessingSchema on read Vs WriteRead/write speed cost Best fit use case RDBMSHDFS1. ... Continue Reading →

Pyspark Scenario ~ Find Average

Write a solution in PySpark to find the average selling price for each product. average_price should be rounded to 2 decimal places.Solution :import datetimefrom pyspark.sql import SparkSessionfrom pyspark.sql.functions import col, sum, roundfrom pyspark.sql.types import StructType, StructField, IntegerType, DateType# Initialize Spark sessionspark = SparkSession.builder.appName("average_selling_price").getOrCreate()# Data for Prices and Units Soldprices_data = [(1, datetime.date(2019, 2, 17), datetime.date(2019,... 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 SQL๐Ÿ“Œ Basics -https://lnkd.in/gdnhRk8b๐Ÿ“Œ Advanced -https://lnkd.in/g8tyEKbU๐Ÿ“Œ Leetcode -https://lnkd.in/gKeSMPmW2. Learn Python basics -๐Ÿ“Œ Python Tutorial : https://lnkd.in/gPBDBhpA๐Ÿ“Œ Python for Beginners : https://lnkd.in/gHWyQfQX3. Big Data Concepts -๐Ÿ“Œ Big Data Fundamentalshttps://lnkd.in/fWZPWKP๐Ÿ“Œ HDFS Architecturehttps://lnkd.in/fNP7bf7๐Ÿ“Œ Mapreduce Fundamentalshttps://lnkd.in/g457Wmv๐Ÿ“Œ Hive tutorial for Beginnershttps://lnkd.in/gJpDMTfD๐Ÿ“Œ Introduction to Apache Sparkhttps://lnkd.in/gFRpe3-D๐Ÿ“Œ 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. โœ… Pyspark Scenarios 1: How to create partition by month and year in pyspark https://lnkd.in/dFfxYR_F โœ… pyspark scenarios 2 : how to read variable number of... Continue Reading →

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