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Tools & Technologies

  • Apache Kafka
  • aws cloud
  • cassandra
  • google cloud
  • Hadoop mapreduce
  • Microsoft Azure
  • Power-BI
  • sap
  • spark
  • Add More

Data Warehouse & BI Training Objectives

  • Introduction to Data Warehouse & Business Intelligence
  • Develop an in-depth understanding of Data Warehouse design
  • Learn the basics of structured data modeling
  • Introduction to Data Visualization BI Tool Tableau

Why Mazenet?

Expert Faculty

Our Faculty comprises of 150+ SMEs with more than 15 years of experience. All our trainers possess a minimum of 8+ years of experience.

Proven Track Record

We have served over 50 global corporate clients, consistently maintaining a 99% success rate in meeting training objectives for 100+ technologies with quick turn around time.

Blended Learning

We provide course content over any platform that our clients prefer. You can choose an exclusive platform or a combination of ILT, VILT, and DLP.

Learning Paths

The learning paths are very defined with clear benchmarks. Quantitative assessments at regular intervals measure the success of the learning program.

Case Study

We have amassed over 10,000 case studies to support training delivery. Candidates will be trained to work on any real-time business vertical immediately after the training.

24*7 Global Availability

We are equipped to conduct training on any day, date or time. We have delivered training pan India, Singapore, North America, Hong Kong, Egypt and Australia.

Key Features

virtual-led
Customized Training Modules

Training programs are highly flexible with module customizations to suit the requirements of the business units.

virtual-led
Certification

The training can be supplemented with appropriate certifications that are recognized across the industry.

virtual-led
Multi-language Support

Course content can be delivered in English, Spanish, Japanese, Korean or any other language upon request.

virtual-led
Personalized Training Reports

Candidates are assessed individually at regular intervals and are provided unique learning suggestions to suit their learning calibre.

virtual-led
Industry Oriented Training

Industry-oriented training, completing which, candidates can be immediately deployed for billable projects.

virtual-led
Diverse Training Platforms

Choose from Instructor-Led Training, Virtual Instructor-Led Training, Digital Learning Platform and Blended Training platforms

Data Warehousing & BI Training

Data Warehousing brings all the data together and optimizes it for reporting and analysis. Data warehousing is well-defined, matured, and structured applications of BI. Business Intelligence is an application of data technology, human expertise and analytics to give insights that results in successful business operations.

Data warehousing and BI is a set of methods and techniques used by the corporate to take strategic and tactical decisions. It influences technologies that focus on statistical targets, counts and business objectives to improve business performance. The data warehouse is the consolidation of data from a variety of sources that is designed to provide strategic decision making. The main aim is to provide a coherent picture of the business at any point in time.

The course modules are structured to give an empirical value and understanding to the candidates. However, all course modules are highly customizable and can be structured to suit the requirements of your organization.

Course Preview

  • What is Data Warehousing?
  • Definitions by W.H. Inmon [Top-Down Design]
  • Ralph Kimball [Bottom-Up Design]
  • Inmon Vs Ralph Kimball, Data Warehousing Tools
  • Schema Modeling Tools, CA, Erwin
  • Dell Toad Data Modeler, Oracle Data Modeler
  • ETL Tools: Informatica Power Center
  • Talend DI Open Studio
  • IBM Data Stage
  • SAS
  • Data Warehousing categories
  • What is BI - Business Intelligence?
  • BI Definition, BI Tools, Classification of BI Tools.
  • Relational Vs Analytical.
  • What are - OLTP, OLAP, OLAP
  • categories - MOLAP, ROLAP, HOLAP,
  • Data Warehouse Vs Data Mart,
  • Dependent and Independent Data Mart,
  • Data Warehouse Architecture,
  • Source System,
  • ETL Extraction,
  • Transformation.
  • What is a cube?
  • Benefits of cube
  • How to create the cube?
  • How to deploy a cube?
  • How to create a report using a cube?
  • Informatica & Informatica Product Suite
  • Informatica PowerCenter as ETL Tool
  • Informatica PowerCenter Architecture
  • Component-based development techniques
  • Visualize PowerCenter client tools
  • Data Flow
  • Data Denormalization,
  • Create & execute mapping
  • Transformations & their usage
  • Introduction to SSIS Packages and Legacy DTS Packages
  • Introduction of (BIDS) and Explanation of All tool boxes, Solution Explorer, Package variables
  • Import and Export Wizard, Control Flow and Dataflow tasks
  • Control Flow tasks like Execute SQL Task, BULK insert tasks, File System tasks , The FTP Task and Send mail task ∙ Dataflow tasks and transformations introduction
  • Data sources, Data transformations, Copy column Transformation, Derived Column transformation, Conditional Split and Aggregate Transformation, Sort Transformation and Data Viewers.
  • Slowly Changing Dimension (SCD) Concepts and its Transformations.
  • Debugging, Error Handling and Logging
  • How to implement Check points.
  • SSIS Package Deployment and Package Management like how to schedule package, DTUtil and DTExec command

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