- 311
- 56 008
Data Analytics Talks
India
เข้าร่วมเมื่อ 4 พ.ค. 2022
Dear Data Architects/Engineers, beginner/expert, there are several key skills and areas of knowledge that we should focus on to succeed in our field. We should have a solid understanding of database design principles, including data modeling, normalization, indexing, and query optimization to design efficient, scalable, and well-organized databases. Understanding of data warehousing and ETL (Extract, Transform, Load) tools is essential.
Big data technologies such as Hadoop, Spark, and NoSQL databases are becoming increasingly important in the world of data engineering. We should be familiar with these technologies and understand how they can be used to store, process, and analyze large volumes of data. Data architects and engineers often need to write code to automate processes or manipulate data. This is a Data Engineer's journey to Data Architect.
Email : learnwithbiju@gmail.com
WhatsApp: 9741600911
Big data technologies such as Hadoop, Spark, and NoSQL databases are becoming increasingly important in the world of data engineering. We should be familiar with these technologies and understand how they can be used to store, process, and analyze large volumes of data. Data architects and engineers often need to write code to automate processes or manipulate data. This is a Data Engineer's journey to Data Architect.
Email : learnwithbiju@gmail.com
WhatsApp: 9741600911
🌟 Unlock the Power of Advanced SQL: Ranking, Partitions, and More! 🌟
🎥 Dive into the depths of SQL with "Mastering SQL Advanced Query Options," a video tutorial crafted for SQL practitioners who are eager to expand their expertise. This session zeroes in on the advanced functions and techniques that enable intricate data analysis and manipulation.
🛠️ What You'll Explore:
- Ranking Functions: Learn how to use RANK(), DENSE_RANK(), and ROW_NUMBER() to order your data within partitions.
- NTILE Function: Discover how to divide your data into a specified number of ranked groups.
- PARTITION BY Clause: Gain insights into segmenting data for targeted analysis within your result set.
- Advanced Subqueries: Tackle complex data retrieval with correlated and non-correlated subqueries.
- Analytical Functions: Understand how to apply window functions for sophisticated data insights.
- Optimizing Queries: Get tips on writing efficient SQL queries to enhance performance.
🔍 Detailed Examples & Exercises:
Follow along with detailed examples that demonstrate each concept in action. Test your knowledge with exercises designed to solidify your understanding of advanced SQL querying.
🎯 Who Should Watch:
- SQL Developers seeking to master advanced query techniques
- Data Analysts and BI Professionals looking to deepen their SQL knowledge
- Database Administrators aiming to optimize complex SQL operations
👍 Enjoyed the video? Please like, share, and subscribe for more advanced SQL content. Your support is crucial for us to continue providing high-quality tutorials!
💬 Have a question or want to share your SQL journey? Comment below and join the SQL experts' community!
🕒 Timestamps:
0:00 - Introduction to Advanced SQL Queries
1:45 - Ranking Functions in SQL
5:30 - Using the NTILE Function
9:00 - Effective Use of PARTITION BY
13:00 - Crafting Advanced Subqueries
17:00 - Leveraging Analytical Functions
21:00 - Tips for Optimizing SQL Queries
📢 Stay in Touch:
- Connect on LinkedIn: www.linkedin.com/in/tbijujoseph
#SQL #AdvancedSQL #DataAnalysis #Database #SQLTutorial #dataanalyticstalks #RankingFunctions #PartitionBy #Subqueries #Programming #TechTutorial
Remember to click the bell icon 🔔 for notifications on our upcoming SQL tutorials. Happy querying!
🛠️ What You'll Explore:
- Ranking Functions: Learn how to use RANK(), DENSE_RANK(), and ROW_NUMBER() to order your data within partitions.
- NTILE Function: Discover how to divide your data into a specified number of ranked groups.
- PARTITION BY Clause: Gain insights into segmenting data for targeted analysis within your result set.
- Advanced Subqueries: Tackle complex data retrieval with correlated and non-correlated subqueries.
- Analytical Functions: Understand how to apply window functions for sophisticated data insights.
- Optimizing Queries: Get tips on writing efficient SQL queries to enhance performance.
🔍 Detailed Examples & Exercises:
Follow along with detailed examples that demonstrate each concept in action. Test your knowledge with exercises designed to solidify your understanding of advanced SQL querying.
🎯 Who Should Watch:
- SQL Developers seeking to master advanced query techniques
- Data Analysts and BI Professionals looking to deepen their SQL knowledge
- Database Administrators aiming to optimize complex SQL operations
👍 Enjoyed the video? Please like, share, and subscribe for more advanced SQL content. Your support is crucial for us to continue providing high-quality tutorials!
💬 Have a question or want to share your SQL journey? Comment below and join the SQL experts' community!
🕒 Timestamps:
0:00 - Introduction to Advanced SQL Queries
1:45 - Ranking Functions in SQL
5:30 - Using the NTILE Function
9:00 - Effective Use of PARTITION BY
13:00 - Crafting Advanced Subqueries
17:00 - Leveraging Analytical Functions
21:00 - Tips for Optimizing SQL Queries
📢 Stay in Touch:
- Connect on LinkedIn: www.linkedin.com/in/tbijujoseph
#SQL #AdvancedSQL #DataAnalysis #Database #SQLTutorial #dataanalyticstalks #RankingFunctions #PartitionBy #Subqueries #Programming #TechTutorial
Remember to click the bell icon 🔔 for notifications on our upcoming SQL tutorials. Happy querying!
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