#Gcp Data Engineering

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Day 1/30 | 2024 Complete Data Engineering Roadmap📝 -—FOUNDATION-— 📍 Programming Language Start with Python - Easy to learn and beginner-friendly Why? You want to write some transformation jobs and automate some work. 📍 SQL (Structured Query Language) You will spend 60-70% of your time writing SQL queries to fetch, update, and insert data. Make SQL your best friend and dominate the data world -—CORE DATA ENGINEERING-— Time to start working on the core data engineering concept Two things here: 1. Focus on core foundations that don’t change often 2. Learn in-demand market tool for applied data engineering 📚Start Reading Fundamentals of Data Engineering📚 This book will teach you everything you need to know about data engineering in simple language. While you read this, focus on in-demand market tools 📍 Learn Data Warehouse It includes learning about OLAP vs OLTP, Extracting Transform Load, ER Modeling, or Dimension modeling such as understanding fact and dimension tables. 📍 Understand Data Processing Two Types: Batch and Streaming Processing Learn fundamental concepts and learn frameworks/tools for the same. ➡️ Apache Spark <> DataBricks, ➡️ Kafka <> Dataflow/Kinesis 📍 Learn Cloud Computing: Amazon Web Services (AWS), GCP (Google Cloud Platform), and Microsoft Azure. Pick anyone and get started, it does not matter which one you choose. Once you learn one cloud, you can master all of them. I started with AWS! 📍 Modern Data Stack: New tools are coming into the market and it’s essential to learn them. dbt(databuildtool), mage.ai, airbyte, fivetran, etc... Other important concepts: 📍 Open Table Format 📍 Data Observability 📍 Data Contracts 📍 DataOps #dataengineer #dataanalytics #dataengineering #sql #python #coding #kafka #aws #azure #gcp #datascience #learncode #dataanalytics

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Batch vs Streaming - Data Engineering Core Concepts Follow @mrk_talkstech for more info. Data Engineering Azure AWS GCP Datawarehouse DB SQL #dataengineering #dataengineer #pyspark #sparks #database #azure #aws #gcp #databricks #devops #viral #viralreels

🤯 AWS or Azure? AWS or GCP? GCP or Azure? You often ask which cloud provider is the most in-demand. And I totally get that, cause you need to know which one to study, right? 🤔 I have my own market observations (those are below), but first, let’s see what the market research is saying 🔒SAVE IT🔒 🔬 The freshest OREILLY’s 2022 CLOUD SALARY SURVEY (link in Stories/Highlights): “There’s no really big news here. Amazon Web Services has the most users, at 72%, followed by Microsoft Azure (42%) and Google Cloud (31%). Compared to the cloud survey we did last year, it looks like Google Cloud and Azure have dropped slightly compared to AWS.” Cloud services principles are generally the same, so mastering one will ease the mastering of the next. “Cloud providers offer many services, but their basic services fall into a few well-defined classes. 75% of the survey respondents reported using virtual instances (for example, AWS EC2), and 74% use bucket storage (for example, AWS S3). These are services that are offered by every cloud provider. Most respondents use an SQL database (59%).” 💭 MY PERSONAL MARKET "FEELING”: Well, by monitoring Data Engineer job descriptions all over the world, I see that market adoption slightly differs with the following tendency: 🇺🇸 US = Aws, Aws, Aws…then some Azure and a drop of gcp 🇦🇺 APAC = Azure considerably ahead. Then Aws, with Gcp popping up rarely 🇪🇺 EU = Azure is on even with Aws. And a bit of Gcp ‼️ Be careful, it’s very subjective though. CLICK THE POLL & feel free to share your observations in the comments

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Data Scientist vs Software Engineer! Which one would you pursue? . . #tech #cs #Interview #Internship #Job #JobSearch #JobHelp #Resume #Linkedin #Bigtech #Microsoft #Google #Apple #Instagram #Amazon #coding #programmer

Gcp video 📷#gcp#viral

Cloud Engineering & Devops Projects 👇 If you want to become a cloud engineer or devops engineer start doing hands-on projects. You can get started for free. Just comment “Projects” for access. #cloudengineer #DevOps

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