Overview
This course teaches you how to store and curate structured and unstructured data, methods for organizing large volumes of highly diverse data from multiple sources.
Skills Covered
- Build a data lake using Object storage
- Integrate Data Lake with Oracle Machine Learning
- Harvest data into the Data Catalog from the data lake
- Run Apache Spark applications using the fully-managed Data Flow service
Prerequisites
- Basic understanding of data analytics
Target Audience
- Data platform engineers
- Solution Architects
- IT Professionals
Module 1: Data Lake: Overview
- Data Lake: Overview
- Need for Data lake
- Data Lake Best Practices
- Data Lake Lifecycle Management
Module 2: Introduction to Data Management
- Introduction to Data Management
- Solution Patterns: Data Lake
- Solution Patterns: Data Warehouse with Business Analytics
- Solution Patterns: Manage All Data with Data Warehouse & Data Lake
Module 3: Building a Data Lake: Object Storage
- Building a Data Lake: Object Storage
- Object Storage: Features
- Object Storage: Access Interfaces
- Building a Data Lake Using Object Storage
- Object Storage Security
Module 4: Data Lake: Use Cases
- Data Lake Use Cases
- OCI Use Cases
- Using Data Lake for Machine Learning
Module 5: Data Lake: Security
- Data Lake Security
- Improving the Data Lake Security
- Data Encryption
Dates & Locations
Exam & Certification
This course is not associated with any Certification.
Training & Certification Guide
Frequently Asked Questions
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