Getting Started with Data Cloud

• Basic knowledge of cloud computing concepts
• Familiarity with data management practices
• Experience with basic data analytics tools (e.g., spreadsheets, databases)

Audience

• Data managers
• Business analysts
• Data architects
• IT professionals working with cloud technologies

Data Cloud is a platform for securely storing, managing, and analyzing data in the cloud, providing scalability and advanced analytics capabilities.

This instructor-led, live training (online or onsite) is aimed at beginner-level to intermediate-level participants who wish to understand how to use Data Cloud for managing and analyzing data, integrating various data sources, and optimizing data workflows.

By the end of this training, participants will be able to:

• Understand the core features and benefits of Data Cloud platforms.
• Set up and configure a Data Cloud environment.
• Integrate multiple data sources into a unified cloud environment.
• Analyze data using built-in tools and generate actionable insights.
• Implement best practices for data security and compliance in the cloud.

Format of the Course

• Interactive lecture and discussion.
• Lots of exercises and practice.
• Hands-on implementation in a live-lab environment.

Course Customization Options

• To request a customized training for this course, please contact us to arrange.

Introduction to Data Cloud

• Overview of cloud-based data management
• Core features and advantages of Data Cloud
• Understanding Data Cloud’s role in modern data ecosystems

Setting Up a Data Cloud Environment

• Provisioning resources in a Data Cloud platform
• Configuring storage and data pipelines
• Exploring tools for monitoring and managing data

Data Integration and Management

• Connecting to various data sources (databases, APIs, etc.)
• Data ingestion, transformation, and storage in the cloud
• Implementing workflows for real-time and batch data processing

Data Analysis and Visualization

• Using built-in analytics tools for insights
• Creating visualizations and dashboards
• Generating and sharing reports with stakeholders

Security and Compliance in Data Cloud

• Implementing data security best practices
• Ensuring compliance with regulations (e.g., GDPR, HIPAA)
• Access control and audit logs

Final Project: Building a Data Workflow

• Designing a cloud-based data workflow for a use case
• Integrating, analyzing, and visualizing data
• Presenting results and insights to peers or instructors

Summary and Next Steps