Yohannes G

🚀 Boost Your SQL Skills with Common Table Expressions (CTEs) in SQL Server! 🚀 Are you looking to simplify complex queries and enhance your data retrieval process? Look no further than Common Table Expressions (CTEs) in SQL Server! 🌟 🔍 What are CTEs? CTEs are temporary result sets that you can reference within a SELECT, INSERT, UPDATE, or DELETE statement. They make your SQL code cleaner, more readable, and easier to maintain. 💡 Why Use CTEs? Readability: Break down complex queries into manageable parts. Reusability: Define a CTE once and reuse it multiple times within the same query. Recursion: Perfect for hierarchical data and recursive queries. Performance: Optimizes query execution plans by simplifying complex joins and subqueries. 🛠️ How to Use CTEs? Here's a quick example to get you started: This example calculates the total sales per employee and filters out those with total sales greater than $10,000. 📈 Best Practices: Keep your CTEs simple and focused. Use meaningful names for your CTEs. Combine multiple CTEs for more complex queries. Monitor performance impacts, especially with large datasets. Unlock the full potential of your SQL queries with CTEs and take your data manipulation skills to the next level! 🌐💼 #SQLServer #CTE #DataAnalytics #SQLTips #TechSkills #DataScience #DataEngineering

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800 SQL Interview questions

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SQL Interview Questions

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Great explanation of SQL concepts with a examples .

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#pyspark Scenario based Interview Question for 𝗗𝗮𝘁𝗮 𝗘𝗻𝗴𝗶𝗻𝗲𝗲𝗿, 𝗗𝗮𝘁𝗮 𝗔𝗻𝗮𝗹𝘆𝘁𝗶𝗰𝘀, 𝗗𝗮𝘁𝗮 𝘀𝗰𝗶𝗲𝗻𝗰𝗲 𝗮𝗻𝗱 𝗗𝗮𝘁𝗮 𝗦𝗰𝗶𝗲𝗻𝘁𝗶𝘀𝘁 𝑫𝒂𝒚 8 : 𝐂𝐫𝐞𝐚𝐭𝐞 𝐃𝐚𝐭𝐚𝐅𝐫𝐚𝐦𝐞 𝐂𝐨𝐝𝐞 : ================= lift_data = [ (1,300), (2,350) ] lift_schema = "id int , capacity_kg int" lift_df = spark.createDataFrame(data = lift_data , schema = lift_schema) lift_passengers_data = [ ('Rahul',85,1), ('Adarsh',73,1), ('Riti',95,1), ('Viraj',80,1), ('Vimal',83,2), ('Neha',77,2), ('Priti',73,2), ('Himanshi',85,2) ] lift_passengers_schema = "passenger_name string , weight_kg int, lift_id int" lift_passengers_df = spark.createDataFrame(data = lift_passengers_data , schema = lift_passengers_schema) lift_df.display() lift_passengers_df.display() My 𝐒𝐨𝐥𝐮𝐭𝐢𝐨𝐧 is in the 𝐜𝐨𝐦𝐦𝐞𝐧𝐭 𝐁𝐨𝐱 😍 Comment Down your Solution as well ! 🤟 𝐒𝐭𝐞𝐩 𝐁𝐲 𝐒𝐭𝐞𝐩 𝐀𝐩𝐩𝐫𝐨𝐚𝐜𝐡 𝐀𝐧𝐝 𝐒𝐨𝐥𝐮𝐭𝐢𝐨𝐧 𝐄𝐱𝐩𝐥𝐚𝐧𝐚𝐭𝐢𝐨𝐧 𝐕𝐢𝐝𝐞𝐨: https://lnkd.in/dqY6iHke 𝟎. 𝐏𝐲𝐒𝐩𝐚𝐫𝐤 𝟑𝟎 𝐃𝐚𝐲𝐬 𝐂𝐡𝐚𝐥𝐥𝐞𝐧𝐠𝐞 :  https://lnkd.in/damsJdkU 𝟏. 𝐏𝐲𝐒𝐩𝐚𝐫𝐤 𝐒𝐜𝐞𝐧𝐚𝐫𝐢𝐨 𝐁𝐚𝐬𝐞𝐝 𝐈𝐧𝐭𝐞𝐫𝐯𝐢𝐞𝐰 𝐐𝐮𝐞𝐬𝐭𝐢𝐨𝐧𝐬 𝐀𝐧𝐝 𝐀𝐧𝐬𝐰𝐞𝐫𝐬: https://lnkd.in/dr4yqCZE 𝟐. 𝐒𝐐𝐋 𝐒𝐜𝐞𝐧𝐚𝐫𝐢𝐨 𝐁𝐚𝐬𝐞𝐝 𝐈𝐧𝐭𝐞𝐫𝐯𝐢𝐞𝐰 𝐐𝐮𝐞𝐬𝐭𝐢𝐨𝐧𝐬 𝐀𝐧𝐝 𝐀𝐧𝐬𝐰𝐞𝐫𝐬: https://lnkd.in/dGt_KdSa 𝟑. 𝐃𝐒𝐀 𝐈𝐧𝐭𝐞𝐫𝐯𝐢𝐞𝐰 𝐐𝐮𝐞𝐬𝐭𝐢𝐨𝐧 𝐚𝐧𝐝 𝐀𝐧𝐬𝐰𝐞𝐫 𝐟𝐨𝐫 𝐃𝐚𝐭𝐚 𝐑𝐨𝐥𝐞𝐬 : https://lnkd.in/dz-8JxUe Problem Credit : Thoufiq Mohammed Do follow Dhiraj Gupta for more such content.! 😍 Tagging Ankit Bansal Aditya Sharma Sumit Mittal Mandar Patil POOJA JAIN For Better Reach ! #pyspark #sql #spark #linkedin #challenge #youtube #interview

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9 Comments

SQL Interview questions

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A concise reference guide for SQL commands and syntax. Read here: https://lnkd.in/gcwd2SM8 #sqlcommands #sqlcommandscheatsheet #sqlcheatsheet #learnsqlbasics #sqlbasics #sql #database #programming

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SQL interview questions

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SQL Interview questions

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Role: AWS Data Architect Location: Tampa FL - Hybrid Position Overview: The AWS Databricks Solution Architect/Lead will be responsible for designing, implementing, and optimizing data solutions using AWS and Databricks platforms. This role requires a deep understanding of cloud architecture, data engineering, and analytics to deliver scalable, high-performance solutions. The ideal candidate will have a proven track record of successful project leadership, technical expertise, and the ability to translate complex business requirements into effective technical solutions. Key Responsibilities: ◾ Architecting Solutions: Design and implement scalable, reliable, and high-performance data solutions on AWS using Databricks, ensuring alignment with business objectives and technical requirements. ◾ Technical Leadership: Lead and mentor a team of data engineers, analysts, and architects. Provide guidance on best practices, architectural decisions, and the use of Databricks and AWS services. ◾ Business Engagement: Collaborate with stakeholders to understand their data needs and business goals. Translate these needs into technical specifications and solutions. ◾ Solution Design: Develop end-to-end data pipelines, data warehousing, and analytics solutions leveraging Databricks and AWS services such as S3, Redshift, Glue, and Lambda. ◾ Documentation: Create and maintain detailed architectural diagrams, design documents, and implementation plans. Ensure comprehensive documentation of solutions and processes. ◾ Collaboration: Work closely with cross-functional teams including data scientists, business analysts, and developers to ensure seamless integration of data solutions. Qualifications: ◾ Experience: 7+ years of experience in data engineering, cloud architecture, or related fields with a focus on AWS and Databricks. Proven track record of successful project delivery and technical leadership. Technical Skills: ◾ In-depth knowledge of AWS services, including but not limited to S3, EC2, RDS, Redshift, Glue, and Lambda. ◾ Extensive experience with Databricks, including Spark SQL, MLlib, and Delta Lake. ◾ Strong understanding of data modeling, ETL processes, and data warehousing concepts. ◾ Proficiency in programming languages such as Python, Scala, or SQL. ◾ Certifications: AWS Certified Solutions Architect (Associate or Professional) and Databricks certifications are highly desirable. ◾ Communication: Excellent verbal and written communication skills with the ability to convey complex technical concepts to non-technical stakeholders. ◾ Problem-Solving: Strong analytical and problem-solving skills with a creative and innovative approach to tackling challenges. ◾ Leadership: Proven experience leading teams and projects, with a strong ability to mentor and guide junior team members. Ankur Awale || US IT Recruiter Nityo Infotech Corp [email protected] #AWS #DataArchitect #Data_Architect #S3 #Glue #RDS #EC2 #Databricks #C2C #CorptoCorp

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Day 20/30 of The SQL Challenge Today I revised the SQL server function. Here is what I learned. SQL server functions are pre-built actions that perform calculations, manipulate data, and return results. These functions simplify complex queries and automate repetitive tasks. In addition, these functions give users the ability to extract and analyze data from massive databases efficiently and effectively Stay tuned for more updates! #DCA30DaysofSQL #SQL #DATAANALYSIS

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DB Detach and Attach in SQL Server 

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A concise reference guide for SQL commands and syntax. Read here: https://lnkd.in/gcwd2SM8 #sqlcommands #sqlcommandscheatsheet #sqlcheatsheet #learnsqlbasics #sqlbasics #sql #database #programming

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