Data Warehousing Certification Training



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Data warehousing & ETL

Course Curriculum

Learning Objective: In this module, you will learn about the basic concepts of data warehousing and why is it necessary in the modern market. It will also discuss the differences between operating systems and analytic systems, Datamarts, and approaches to build a data warehouse.

Topics covered:
* What is a data warehouse? It includes a Definition and explanation of the four terms: subject-oriented, integrated, non-volatile, and time-variant
* Need for a data warehouse
* How does a data warehouse differ from a database?
* What is Datamart?
* ODS - Operational Data Store, Definition and explanation of 4 terms: Subject oriented, Integrated, Current, Volatile, & Detailed
* Benefits of ODS
* Design approach like the Top-down approach, bottom-up approach, Federated approach

Learning Objective: In this module, you will learn about what a dimension and a fact are, the differences between dimension and facts, reporting concept of the hierarchy.

Topics covered:
* Dimensions and facts
* What are the dimensions and facts?
* Types of dimensions and its emphasis on SCD 1,2,3 implementations
* Types of facts
* What are hierarchies
* Types of Hierarchies

Learning Objective: In this module, you will learn how to organize data in multiple tables, understand normalization and its different forms, learn what a schema is, and the different types of schemas along with metadata.

Topics covered:
* What is normalization?
* What is schema?
* Schema types: star, snowflake, and galaxy
* Significance of the role of meta data

Learning Objective: In this module, you will understand the principles of requirement gathering to build a warehouse and dimensional modeling.

Topics covered:
* Requirement gathering
* Principles of dimensional modeling
* Modeling and ER diagrams
Learning Objective: In this module, you will learn where data comes from and how will the data come and populate the warehouse. It will also cover learning concepts of extracting data, transforming data, and loading the data into different tables.

Topics covered:
* ETL Concept and Architectural components like Source, Staging, Atomic, Dimension
* What is Transformation: Data Validation, Data Accuracy, Data Type Conversion, Business Rule Application
* Data Loading techniques

Course Description

This Data warehousing training from CertOcean enables participants to learn concepts of data warehousing like facts, schema, Metadata, Normalization, Data transformation, Dimensional Modelling, and ETL Concepts. This course helps you master all the modern data warehousing concepts required to further your career in the same domain. The Data warehousing certification will help you accomplish all your professional dreams and earn a high salary as well.

Post the completion of the data warehousing training and certification at CertOcean, you will be able to:
* Learn and implement the concepts of fact tables and dimensions
* Learn and implement the concepts schema, normalization, and data modeling
* Learn how to model a data warehouse
* Implement and work through the ETL jobs

This course is a foundation for anyone who aspires to become a Data Warehouse Business Analyst, Data Warehouse Architect, and a Data Warehouse Developer in their career. The following are the professionals who can go for this course:
* BI /ETL Professionals
* Project Managers
* Testing Professionals
* Mainframe Professionals
* Analytics Professionals
* Software Developers and Architects

The modern market is based on factual decision making unlike the traditional intuition-based decision-making domain, it has become necessary to capture and store data in a manner that allows businesses to make smarter decisions. That is why it is important to opt for Data warehousing certification in the picture. This is a huge demand in the Data warehousing professionals and this course opens doors and unlimited opportunities in the Business Intelligence space. Opting for Data warehousing training is going to be a great pump for your career.
There are no prerequisites for this Data warehousing training and anyone can take up this course. However, professionals having work experience in IT Administration, possess a basic understanding of Cloud Computing, Virtualization, Networking & Databases, and Proficient in using PowerShell and Command-Line Interface will ace this course.
You need a system with good internet connectivity. In case of any doubt, 24*7 support line with assist with all your queries and questions.
For all the projects, you can use the lab environment created for the Data warehousing training.


Frequently Asked Questions (FAQs):

Candidates will never miss lectures in CERTOCEAN's Data warehousing certification as they have the option to either view the recorded session or to attend the next live batch.

Our team is with each student 24/7. They need not worry about anything. Just ask your queries about the Data warehousing training and we will make sure that it gets solved as soon as possible. 
We hope that till now you have seen any of our study clips. And we think that's all because you need not look further as we are good at keeping promises. We promise to enhance your growth in the automation field using Data warehousing certification.
Only instructors who are experts in the domain and possess more than 10 years of experience are selected to teach after a stringent and tedious process. After shortlisting, all the instructors undergo a 3 months long training program.
Most of the CertOcean’s learners have reported a hike in their salary and position post the completion of the Data warehousing certification. This training is well-recognized in the IT industry and indulges in both practical and theoretical learning.
We provide support to all the learners even if they have completed their course training way before. Once you have registered with us, we will take care of all your educational needs and demands, resolving all your functional and technical queries.
CertOcean's Data warehousing certification course will assist you throughout the course and help you master the concepts and practical implementation of technology for the course duration.

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