Data Warehousing & ETL

  • Classes : Weekend
  • Duration : 8 Months
  • 30 / Batch
Course Description

Informatica is a data integration tool based on the ETL architecture. It provides data integration software and services for various companies, industries, and government organizations such as telecommunications, health, financial, and insurance services.Almost every company processes a large amount of data these days. The data comes from various sources and needs to be processed in order to obtain insightful information for important business decisions. But quite often, data of this size comes with challenges.

What you'll learn
  • Datawarehouse Concepts
  • Datawarehouse Concepts
  • UNIX/Shell Scripting
  • JIRA
  • Domain
  • Soft Skills
Course content
  • Introduction to Informatica developers

    Introduction to Informatica developers

  • Informatica Developer Fundamentals – Part 2

    Informatica Developer Fundamentals – Part 2

  • Informatica Developer Fundamentals – Part 3

    Informatica Developer Fundamentals – Part 3

  • How to Navigate This Course

    How to Navigate This Course

  • Informatica Developer in the Browser: DOM and Events Fundamentals

    Informatica Developer in the Browser: DOM and Events Fundamentals

  • How Informatica Developer Works Behind the Scenes

    How Informatica Developer Works Behind the Scenes

  • A Closer Look at Functions

    A Closer Look at Functions

  • Build 6 beautiful real-world projects

    Build 6 beautiful real-world projects

Carrier Growth

The career growth in data warehousing and ETL (Extract, Transform, Load) has experienced substantial expansion in response to the escalating importance of data-driven decision-making in businesses. As organizations accumulate vast amounts of data, there is an increasing demand for professionals who can design and manage robust data warehouse architectures. ETL specialists, in particular, play a critical role in ensuring data quality and accessibility by extracting, transforming, and loading data from various sources.

Key factors contributing to career growth in this field include:

  1. Big Data Integration: Managing and integrating large volumes of data from diverse sources, including structured and unstructured data.

  2. Cloud Computing: The shift towards cloud-based solutions has led to opportunities in designing and optimizing data warehouses in cloud environments.

  3. Business Intelligence (BI): The demand for insightful analytics and reporting has increased, driving the need for skilled professionals who can architect and maintain effective data warehouses.

  4. Data Governance and Compliance: Growing emphasis on data governance and compliance mandates skilled professionals to ensure data integrity and security.

  5. Automation and AI: Integration of automation and artificial intelligence in ETL processes for efficiency and improved decision-making.

  6. Data Quality Management: Ensuring the accuracy, consistency, and reliability of data through effective ETL processes.

  7. Real-time Data Processing: The need for real-time analytics has led to opportunities in designing data warehouses capable of handling streaming data.

  8. Data Science Collaboration: Collaboration with data scientists for meaningful insights, requiring a strong foundation in ETL and data warehousing.

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