Understanding Data Lakes

Duration : 1 Day (8 Hours)

Understanding Data Lakes Course Overview:

The Understanding Data Lakes certification affirms an individual’s expertise in Data Lakes, a storage repository for vast unprocessed data. It encompasses data ingestion, storage, management, and analytics. Industries adopt this certification to ensure teams can manage extensive data for informed decision-making. Professionals showcase their adeptness in utilizing Data Lakes for real-time analytics, machine learning, and data exploration. This comprehension ensures operational efficiency, data security, and business advancement.

Intended Audience:

  • Data analysts and scientists
  • IT professionals
  • Business Intelligence (BI) specialists
  • Database administrators
  • Professionals seeking to upgrade their data management skills
  • Data Solutions Architects
  • Big data professionals
  • Data-driven decision makers
  • Managers overseeing data projects
  • Graduates in STEM fields looking to specialize in data analysis.

Learning Objectives of Understanding Data Lakes:

The learning objectives of the “Understanding Data Lakes” course would include the following:
1. Gain a comprehensive understanding of what data lakes are and how they differ from traditional data warehouses.
2. Learn about the design principles and architecture of data lakes.
3. Understand the need for data lakes in modern data analytics and big data processing.
4. Gain insights into the data lake technologies and tools.
5. Understand the data governance and security issues related to data lakes.
6. Learn how to implement data ingestion, storage, and analysis processes in a data lake.
7. Understand real-world use cases and best practices of deploying data lakes.

 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

Understanding Data Lakes Course Prerequisites:

• Basic understanding of SQL and Database Management Systems
• Familiarity with data processing architectures and data modeling
• Basic knowledge of Python, Java, or Scala coding languages
• Experience with data ingestion and processing platforms like Apache Hadoop/Spark
• Preliminary understanding of machine learning concepts.

Discover the perfect fit for your learning journey

Choose Learning Modality

Live Online

  • Convenience
  • Cost-effective
  • Self-paced learning
  • Scalability


  • Interaction and collaboration
  • Networking opportunities
  • Real-time feedback
  • Personal attention


  • Familiar environment
  • Confidentiality
  • Team building
  • Immediate application

Training Exclusives

This course comes with following benefits:

  • Practice Labs.
  • Get Trained by Certified Trainers.
  • Access to the recordings of your class sessions for 90 days.
  • Digital courseware
  • Experience 24*7 learner support.

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