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  • 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

 This course delves into the intricacies of managing and optimizing data centre 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 centre security, management and monitoring principles, automation, orchestration, and cloud integration. Designed for IT professionals and data centre managers, this course equips learners with the knowledge and skills to streamline data centre operations and ensure robust infrastructure.

  • 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.
  • System Administrators
  • Any people who are not that comfortable with coding but who are interested in Machine Learning and want to apply it easily on datasets.
  • Cloud Infrastructure Engineers
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  • Section 1 : Mastering Data Center Excellence 1 Lectures 00:06:45

    • Lecture 1 :
    • Advanced Management and Infrastructure Optimization Preview
  • Section 2 : Scaling Success 1 Lectures 00:06:07

    • Lecture 1 :
    • Scaling Success: Mastering Scalability for Peak Performance in Systems and Data
  • Section 3 : Efficient Power and Cooling Strategies 1 Lectures 00:03:46

    • Lecture 1 :
    • Efficient Power and Cooling Strategies:Navigating the Data Center Infrastructure
  • Section 4 : Optimizing Infrastructure 1 Lectures 00:07:43

    • Lecture 1 :
    • Optimizing Infrastructure: Strategies for Robust Power and Cooling Systems
  • Section 5 : Ensuring Data Center Security 1 Lectures 00:02:50

    • Lecture 1 :
    • Leveraging Layers of Protection: Ensuring Data Center Security
  • Section 6 : Management and Monitoring Principles 1 Lectures 00:04:49

    • Lecture 1 :
    • The Science of Management and Monitoring: Principles and Practices
  • Section 7 : Real-World Monitoring and Management Examples 1 Lectures 00:08:53

    • Lecture 1 :
    • Monitoring and Management in Action: Real-World Examples Across Diverse Indus...
  • Section 8 : Streamlining Data Center Management 1 Lectures 00:06:01

    • Lecture 1 :
    • Streamlining Data Center Management: The Power of Automation and Orchestration
  • Section 9 : Cloud Integration 1 Lectures 00:04:04

    • Lecture 1 :
    • Bridging the Gap: Cloud Integration Unveiled
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  • How do i access the course after purchase?

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10 Courses

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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