Executive Development Programme Building High-Performance Data Models in the Cloud

Name: Executive Development Programme Building High-Performance Data Models in the Cloud
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The Executive Development Programme in Building High-Performance Data Models in the Cloud is a certificate course designed to empower professionals with the latest cloud-based data modeling skills. In today's data-driven world, there's an increasing demand for experts who can design, build, and manage high-performance data models in the cloud.

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AboutThisCourse

This course is essential for those looking to advance their careers in data analytics, data engineering, and cloud computing. It provides learners with hands-on experience in designing and implementing data models using cloud-based services like AWS, Google Cloud, and Microsoft Azure. Learners will also gain expertise in data modeling tools, data warehousing, big data platforms, and data visualization. Upon completion, learners will be able to leverage their skills to optimize data models for improved performance, scalability, and security. This course will not only enhance learners' technical skills but also their strategic thinking and decision-making abilities, making them valuable assets in any data-driven organization.

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CourseDetails

• Cloud Data Modeling Fundamentals: Understanding the basics of data modeling in the cloud, including data types, schemas, and relationships.
• Data Modeling Tools and Platforms: Exploring popular cloud-based data modeling tools and platforms, such as Amazon Redshift, Google BigQuery, and Microsoft Azure Synapse.
• Designing High-Performance Data Models: Best practices for designing high-performance data models, including normalization, denormalization, and partitioning.
• Data Modeling for Big Data: Techniques for data modeling with big data, including data lakes and data warehouses.
• Data Modeling Security and Governance: Implementing security and governance best practices for cloud-based data models, including access control, encryption, and compliance.
• Data Modeling for Machine Learning: Designing data models for machine learning, including feature engineering and data preprocessing.
• Data Modeling for Real-time Analytics: Building data models for real-time analytics, including stream processing and event-driven architectures.
• Data Modeling for Cloud Migration: Strategies for migrating data models to the cloud, including data migration tools and best practices.
• Data Modeling for Data Integration: Techniques for integrating data models across different cloud and on-premises systems.
• Data Modeling for Data Governance: Implementing data governance best practices for cloud-based data models, including data lineage, data quality, and data catalogs.

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EntryRequirements

BasicUnderstandingSubject
ProficiencyEnglish
ComputerInternetAccess
BasicComputerSkills
DedicationCompleteCourse

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FastTrack GBP £140

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AcceleratedLearningPath

ThreeFourHoursPerWeek
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StandardMode GBP £90

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FlexibleLearningPace

TwoThreeHoursPerWeek
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EXECUTIVE DEVELOPMENT PROGRAMME BUILDING HIGH-PERFORMANCE DATA MODELS IN THE CLOUD

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London School of International Business (LSIB)

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05 May 2025

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