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Mastering PL/SQL: Turbocharge Your Data Processing with Bulk Queries!

person icon AKHIL VYDYULA

4.7

Mastering PL/SQL: Turbocharge Your Data Processing with Bulk Queries!

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updated on icon Updated on Jun, 2025

language icon Language - English

person icon AKHIL VYDYULA

category icon Development ,Database and Design Development,SQL

Lectures -4

Duration -44 mins

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4.7

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Course Description

In this comprehensive course, "Mastering PL/SQL: Turbocharge Your Data Processing with Bulk Queries," you will delve into the powerful world of PL/SQL optimization techniques specifically tailored for handling bulk queries. Designed for intermediate to advanced database developers and administrators, this course equips you with the skills to dramatically enhance the efficiency and performance of your data processing tasks.

Throughout the course, you will:

- Explore the fundamentals of PL/SQL and its role in database management.

- Learn advanced techniques for optimizing data retrieval and manipulation using bulk processing.

- Master the art of leveraging collections and bulk binds to process large volumes of data efficiently.

- Understand best practices for designing and implementing optimized PL/SQL code.

- Gain hands-on experience through practical examples and exercises that reinforce your learning.

By the end of this course, you will be equipped with the knowledge and skills necessary to confidently optimize data processing workflows using PL/SQL, enabling you to maximize performance and scalability in your database applications. Join us and take your PL/SQL proficiency to the next level!

Mastering PL/SQL: Turbocharge Your Data Processing with Bulk Queries!

Curriculum

Check out the detailed breakdown of what’s inside the course

Mastering Bulk Operations: Supercharge Your PL/SQL with Efficient Bulk Queries!

4 Lectures
  • play icon Mastering Bulk Operations: Supercharge Your PL/SQL With Efficient Bulk Queries! 08:29 08:29
  • play icon Mastering Pipeline Efficiency: Turbocharge Your SQL Performance Optimization! 19:44 19:44
  • play icon Master PL/SQL Operations: Unlock Practical Execution Techniques! 11:18 11:18
  • play icon Mastering PL/SQL DDL Operations: Advanced Techniques for Practical Execution! 04:46 04:46

Instructor Details

AKHIL VYDYULA

AKHIL VYDYULA

Data Scientist | Data & Analytics Specialist | Entrepreneur

Hello, I'm Akhil, a Senior Data Scientist at PwC specializing in the Advisory Consulting practice with a focus on Data and Analytics.

My career journey has provided me with the opportunity to delve into various aspects of data analysis and modelling, particularly within the BFSI sector, where I've managed the full lifecycle of development and execution.


I possess a diverse skill set that includes data wrangling, feature engineering, algorithm development, and model implementation. My expertise lies in leveraging advanced data mining techniques, such as statistical analysis, hypothesis testing, regression analysis, and both unsupervised and supervised machine learning, to uncover valuable insights and drive data-informed decisions. I'm especially passionate about risk identification through decision models, and I've honed my skills in machine learning algorithms, data/text mining, and data visualization to tackle these challenges effectively.


Currently, I am deeply involved in an exciting Amazon cloud project, focusing on the end-to-end development of ETL processes. I write ETL code using PySpark/Spark SQL to extract data from S3 buckets, perform necessary transformations, and execute scripts via EMR services. The processed data is then loaded into Postgres SQL (RDS/Redshift) in full, incremental, and live modes. To streamline operations, I’ve automated this process by setting up jobs in Step Functions, which trigger EMR instances in a specified sequence and provide execution status notifications. These Step Functions are scheduled through EventBridge rules.


Moreover, I've extensively utilized AWS Glue to replicate source data from on-premises systems to raw-layer S3 buckets using AWS DMS services. One of my key strengths is understanding the intricacies of data and applying precise transformations to convert data from multiple tables into key-value pairs. I’ve also optimized stored procedures in Postgres SQL to efficiently perform second-level transformations, joining multiple tables and loading the data into final tables.


I am passionate about harnessing the power of data to generate actionable insights and improve business outcomes. If you share this passion or are interested in collaborating on data-driven projects, I would love to connect. Let’s explore the endless possibilities that data analytics can offer!

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