Advanced Center Management and Infrastructure
Mastering the Heart of IT: Advanced Data Center Management and Infrastructure
Lectures -9
Duration -50 mins
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Course Description
This course delves into the intricacies of managing and optimizing data center infrastructure. Participants will explore advanced management techniques, scalability strategies, and efficient power and cooling systems essential for peak performance. The course covers essential topics such as data center security, management and monitoring principles, automation, orchestration, and cloud integration. Designed for IT professionals and data center managers, this course equips learners with the knowledge and skills to streamline data center operations and ensure robust infrastructure.
Goals
- Overview of AI tools for developers and their impact on software development
- You will practice how to collaborate with Bard by asking follow-up questions, choosing from multiple drafts, and editing its outputs.
- Understand what Docker Compose is.
- Recognize how best practices and benchmarking support continuous improvement.
Prerequisites
Basic understanding of business concepts: It is recommended to have a foundational knowledge of business principles and terminology. Familiarity with concepts such as business models, competitive analysis, and financial statements will be beneficial.

Curriculum
Check out the detailed breakdown of what’s inside the course
Mastering Data Center Excellence
1 Lectures
-
Mastering Data Center Excellence: Advanced Management and Infrastructure Optimization 06:45 06:45
Scaling Success
1 Lectures

Efficient Power and Cooling Strategies
1 Lectures

Optimizing Infrastructure
1 Lectures

Ensuring Data Center Security
1 Lectures

Management and Monitoring Principles
1 Lectures

Real-World Monitoring and Management Examples
1 Lectures

Streamlining Data Center Management
1 Lectures

Cloud Integration
1 Lectures

Instructor Details

AKHIL VYDYULA
Data Scientist | Data & Analytics Specialist | EntrepreneurHello, 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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