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 →
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 →
Spotify Cloud Project
Spotify Stream Analytics ๐ฅBuilt a synthetic data pipeline for real-time music insights, stunning dashboards, and actionable decisions.๐ Project Overview:Addresses limited Spotify stream data access with a synthetic pipeline. Realistic events stream to Kafka, processed by Spark, stored in Deltalake. Airflow ensures a seamless pipeline, and dbt transforms data into captivating dashboards.๐ Key Features:Streamlined Infrastructure: Scripts... Continue Reading →
Big Data Learning Resources
Complete Plan to learn Big Data Step by Step (All Free resources Included) by Sumit Sir.1. Learn SQL Basics - https://lnkd.in/g9NEJMVESQL will be used at a lot of places - Hive/Spark SQL/RDBMS queriesJoins & windowing functions are very important2. Learn Programming/Python for Data Engineering - https://lnkd.in/gr6fFPdULearn Python to an extent required for Data Engineers.3. Learn... Continue Reading →
Cloud Services in one line
If you are an aspiring Data Engineer then you must know these cloud services w.r.t AWS or AZURE or GCP ๐ Save this post for future reference ...1๏ธโฃ Amazon Web Services (AWS)๐ AWS Data Pipeline: For creating complex data processing workloads.๐ AWS Glue: Our favourite fully managed ETL service.๐พ Amazon S3: An object storage service... Continue Reading →
How to get Higher package
Must Have Notes:Never give expected ctc as a number at the beginning [Specially through phone call]Don't ask unrealistic numbersDon't show poor attitude while negotiating Don't talk about financial commitments [No company or recruiter interested in your financial conditions]Don't fall into any argument or fight [Politely refuse the offer and say thank you for this opportunity]Never... Continue Reading →
Big Data Resources
#Resources Referred by me for Big data Technologies These resources are available for free in YouTube, which helped me to crack CISCO.. and for you to crack product based companies also..1.Hadoop ,sqoop and Hive concepts by Saif shaik:https://lnkd.in/ewyYweTJ2.pyspark concepts in depth by karunakar goud:https://lnkd.in/eNtFkxmd3.Another spark playlist which useful Raja's Data Engineering channel.https://lnkd.in/eqiy7dBS4. Hadoop and Kafka... Continue Reading →
Git Guide
๐ ๐ฆ๐ถ๐บ๐ฝ๐น๐ถ๐ณ๐ถ๐ฒ๐ฑ ๐๐๐ถ๐ฑ๐ฒ ๐๐ผ ๐๐ถ๐ ๐๐ถ๐๐ต ๐๐ฅ๐๐ ๐น๐ฒ๐ฎ๐ฟ๐ป๐ถ๐ป๐ด ๐ฟ๐ฒ๐๐ผ๐๐ฟ๐ฐ๐ฒ๐ ๐จ๐ปGit, the powerhouse of version control, transforms how developers manage code history and teamwork. Here's a quick breakdown:โข ๐๐ถ๐๐๐ฟ๐ถ๐ฏ๐๐๐ฒ๐ฑ ๐๐ฟ๐ถ๐น๐น๐ถ๐ฎ๐ป๐ฐ๐ฒ: Git repositories are self-contained, offering flexibility and stability. Every developer holds a complete project history, fostering autonomy.โข ๐ฆ๐ป๐ฎ๐ฝ๐๐ต๐ผ๐ ๐ ๐ฎ๐๐๐ฒ๐ฟ๐: Git captures "snapshots" of files, enabling easy... Continue Reading →
System Design Blogs
30 Blogs to learn 30 System Design Concepts:1) Content Delivery Network (CDN): https://lnkd.in/gjJrEJeH2) Caching: https://lnkd.in/gC9piQbJ3) Distributed Caching: https://lnkd.in/g7WKydNg4) Latency vs Throughput: https://lnkd.in/g_amhAtN5) CAP Theorem: https://lnkd.in/g3hmVamx6) Load Balancing: https://lnkd.in/gQaa8sXK7) ACID Transactions: https://lnkd.in/gMe2JqaF8) SQL vs NoSQL: https://lnkd.in/g3WC_yxn9) Consistent Hashing: https://lnkd.in/gd3eAQKA10) Database Index: https://lnkd.in/gCeshYVt11) Rate Limiting: https://lnkd.in/gWsTDR3m12) Microservices Architecture: https://lnkd.in/gFXUrz_T13) Strong vs Eventual Consistency: https://lnkd.in/gJ-uXQXZ14) REST vs RPC:... Continue Reading →
Important Services for Data Engineers provided by AWS, Microsoft Azure & GCP
AWS Lambda :AWS Lambda is a serverless compute service allowing running code without provisioning or managing servers, paying only for actual usage.Amazon Redshift :Amazon Redshift is a fully managed, petabyte-scale data warehouse service that makes it simple and cost-effective to analyze vast amounts of data using SQL and existing BI tools.AWS Glue :AWS Glue is... Continue Reading →
CODEBOX 