-- Q-1. Write an SQL query to fetch โFIRST_NAMEโ from Worker table using the alias name as <WORKER_NAME>. select first_name AS WORKER_NAME from worker; -- Q-2. Write an SQL query to fetch โFIRST_NAMEโ from Worker table in upper case. select UPPER(first_name) from worker; -- Q-3. Write an SQL query to fetch unique values of DEPARTMENT... Continue Reading →
Cloud Data Engineering Road Map
๐ถ๐ป Cloud Data Engineering Road Map ๐๐ปโ Basic Version Control toolhttps://lnkd.in/gEqyhzZRhttps://lnkd.in/g_t2xKnGhttps://lnkd.in/gZT7QNjS โ Data Warehousing Conceptshttps://lnkd.in/gq99PDcp โ Core Pythonhttps://lnkd.in/gQpmSnM โ Spark SQLhttps://lnkd.in/gDcR5bwM โ Databrickshttps://lnkd.in/gSpKBWbJhttps://lnkd.in/gpbMg9nU โ Sparkhttps://lnkd.in/gtqRtTPvhttps://lnkd.in/gs2gkqRq โ Pysparkhttps://lnkd.in/gmkPpmAXhttps://lnkd.in/gh-_KzjE โ Delta Lakehttps://lnkd.in/gt6ggER6 โ Cloud ETL Tool + Storagehttps://lnkd.in/gTs8y4Ai โ Cloud MPP Warehousehttps://lnkd.in/gMTHCrNZ โ Databricks Unity Cataloghttps://lnkd.in/gH6Q2a5K๐ Learn , Lead and Make Leaders ๐. Happy Learning ๐Follow ๐... Continue Reading →
System Design Challenges
Get a good grasp on these 45 key problems, and you'll be ready for a whopping 95% of your System Design Interview challenges-๐๐๐ฌ๐ฒ 1. Design URL Shortener like TinyURL 2. Design Text Storage Service like Pastebin 3. Design Content Delivery Network (CDN) 4. Design Parking Garage 5. Design Vending Machine 6. Design Distributed Key-Value Store... Continue Reading →
PySpark: Sales Data Analysis
Exploring PySpark: Advanced Data Analysisโ๏ธ๐ฑ Scenario: Analyzing Multi-Dimensional Sales Data๐Imagine being tasked with analyzing sales data that spans multiple dimensions, including time, regions, and product categories. To unlock insights from this complex dataset, PySpark's powerful capabilities come into play.๐ Step 1๏ธโฃ: Defining the ChallengeYour goal is to gain a comprehensive understanding of sales performance by... Continue Reading →
Github Repos for Developer
Github Repos for Developer that will reveal thousands of free resources. 1 The Algorithms: https://lnkd.in/dpzAd_vE2 freeCodeCamp : https://lnkd.in/diBh4dVy3 Freely available programming books : https://lnkd.in/d2bwBmU94 100 Days of ML Coding : https://lnkd.in/dz8dDr9U5 project-based tutorials: https://lnkd.in/dSiiKHXK6 Public APIs : https://lnkd.in/dvGamaUM7 Coding Interview University : https://lnkd.in/dhY5pCxH8 Developer Roadmap: https://lnkd.in/dJ4wAG2B9 Computer Science: https://lnkd.in/d2uFXzPz10 30 Seconds of Code : https://lnkd.in/dwDNk_VX11... Continue Reading →
Learn Apache Spark Step by Step
Learn Apache Spark Step by Step (Follow the Sequence)1. Getting started with Apache Sparkhttps://lnkd.in/gFRpe3-D2. A quick introduction to the Spark APIhttps://lnkd.in/g8Y3tdhX3. Overview of Spark - RDD, accumulators, broadcast variablehttps://lnkd.in/g7fepuFF4. Spark SQL, Datasets, and DataFrames:https://lnkd.in/g3iZp7zk5. PySpark - Processing data with Spark in Pythonhttps://lnkd.in/gBnh6PAi6. Processing data with SQL on the command linehttps://lnkd.in/ggnxDaUu7. Cluster Overviewhttps://lnkd.in/guCQnJnv8. Packaging and deploying... Continue Reading →
Databricks lakehouse fundamentals
You Can Try Free Databricks lakehouse fundamentals recorded videos and certification. Link is below. https://lnkd.in/gXx2GUH8#lakehouse #databricks
Basic to Medium #Python (pandas) interview questions for entry level Data analyst role
1. What are the differences between lists and tuples in Python, and how does this distinction relate to Pandas operations?2. What is a DataFrame in Pandas, and how does it differ from a Series?3. Can you explain how to handle missing data in Pandas, including the difference between 'fillna()' and 'dropna()'?4. Describe the process of... Continue Reading →
Data Engineering Blogs
75 Engineering blogs worth reading to improve your system design:High Scalability https://lnkd.in/eQ4eDw4EEngineering at Meta https://lnkd.in/e8tiSkEv AWS Architecture Blog https://lnkd.in/eEchKJif All Things Distributed https://lnkd.in/emXaQDaS The Nextflix Tech Blog https://lnkd.in/efPuR39b LinkedIn Engineering Blog https://lnkd.in/ehaePQth Uber Engineering Blog https://eng.uber.com/ Engineering at Quora https://lnkd.in/em-WkhJd Pinterest Engineering https://lnkd.in/esBTntjq Lyft Engineering Blog https://eng.lyft.com/ Twitter Engineering Blog https://lnkd.in/evMFNhEs Dropbox Engineering Blog https://dropbox.tech/... Continue Reading →
๐๐ ๐๐ผ๐ ๐๐ผ ๐๐๐ถ๐น๐ฑ ๐ฎ๐ป ๐๐๐ฒ๐ป๐-๐๐ฟ๐ถ๐๐ฒ๐ป ๐ฆ๐ฒ๐ฟ๐๐ฒ๐ฟ๐น๐ฒ๐๐ ๐๐ง๐ ๐ฃ๐ถ๐ฝ๐ฒ๐น๐ถ๐ป๐ฒ ๐ผ๐ป ๐๐ช๐ฆ
๐๐ง๐ => ๐๐ ๐๐ฟ๐ฎ๐ฐ๐ | ๐ง๐ฟ๐ฎ๐ป๐๐ณ๐ผ๐ฟ๐บ | ๐๐ผ๐ฎ๐ฑEvent-Driven Serverless ETL Pipelines is a data processing architecture that is used to process large amounts of data in real-time.Here data is processed as soon as it is generated, rather than being stored and processed later.This allows for faster processing times and more efficient use of resources.Here are the... Continue Reading →
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