WE ARE PROVIDING TRAINING FOR DATA WAREHOUSE IN CHENNAI

WARM WELCOME FROM VELGRO TECHNOLOGIES!!! We are providing training for DATA WAREHOUSE Training is provided by well experienced (REAL TIME) Faculty!!! Fee structure Course fees: RS./- Data Warehouse The Compelling Need for Data Warehousing • Escalating Need for Strategic Information • Failures of Past Decision-Support Systems • Operational Versus Decision-Support Systems • Datawarehousing—The Only Viable Solution • Datawarehouse Defined • The Datawarehousing Movement • Evolution of Business Intelligence Data Warehouse: The Building Blocks • Review formal definitions of a data warehouse • Discuss the defining features • Distinguish between data warehouses and data marts • Study each component or building block that makes up a data warehouse • Introduce metadata and highlight its significance Trends in Data Warehousing • Data Warehouse Do-Overs • Proliferation of Data Sources • Outsourcing • Hub Versus Relational Databases • Active Data Warehouses • Fusion with CRM • Growing Number of End Users • More Complex Queries • Integrated Customer View • Exploding Data Volumes Planning and Project Management • Phases in project management • Inception • Elaboration • Construction • Transition Defining the Business Requirements • To gain agreement with stakeholders • To provide a foundation to communicate to a technology service provider what the solution needs to do to satisfy the customer’s and business’ needs • To provide input into the next phase for this project • To describe what not how the customer/business needs will be met by the solution Requirements as the driving force for data warehousing • Understand why business requirements are the driving force • Discuss how requirements drive every development phase • Specifically learn how requirements influence data design • Review the impact of requirements on architecture • Note the special considerations for ETL and metadata • Examine how requirements shape information delivery The Architectural Components • Overall Architecture • Data Warehouse Database • Sourcing, Acquisition, Cleanup and Transformation Tools • Meta data • Data Marts • Data Warehouse Administration and Management Infrastructure as the Foundation for Data Warehousing • Understand the distinction between architecture and infrastructure • Find out how the data warehouse infrastructure supports its architecture • Gain an insight into the components of the physical infrastructure • Review hardware and operating systems for the data warehouse • Study parallel processing options as applicable to the data warehouse • Discuss the server options in detail • Learn how to select the DBMS • Review the types of tools needed for the data warehouse • Study the concept and use of data warehouse appliances The Significant Role of Metadata • Find out why metadata is so important • Understand who needs metadata and what types they need • Review metadata types by the three functional areas • Discuss business metadata and technical metadata in detail • Examine all the requirements metadata must satisfy • Understand the challenges for metadata management • Study options for providing metadata Principles of Dimensional Modelling • Clearly understand how the requirements definition determines data design • Introduce dimensional modelling and contrast it with entity-relationship modelling • Review the basics of the STAR schema • Find out what is inside the fact table and inside the dimension tables • Determine the advantages of the STAR schema for data warehouses Dimensional Modelling: Advanced Topics • Discuss and get a good grasp of slowly changing dimensions • Understand large dimensions and how to deal with them • Examine the snowflake schema in detail • Learn about aggregate tables and determine when to use them • Completely survey families of STARS and their application Data Extraction, Transformation, and Loading • Part I: When to build your data warehouse • Part II: Building a new schema • Part III: Location of your data warehouse The Physical Design Process in DWH • Distinguish between physical design and logical design as applicable to the data warehouse • Study the steps in the physical design process in detail • Understand physical design considerations and know the implications • Grasp the role of storage considerations in physical design • Examine indexing techniques for the data warehouse environment • Review and summarize all performance enhancement options • Matching Information to the Classes of Users OLAP in the Data Warehouse • OLAP (Online Analytical Processing) • Overview & Introduction • OLAP Cube • HISTORY of OLAP • OLAP Operations • DATAWAREHOUSE • ARCHITECHTURE Difference between OLAP & • OLTP & TYPES OF OLAP APPLICATIONS OF OLAP • Data Warehousing and the Web • Data Warehouse Deployment • Data Quality: A Key to Success • Data Mining Basics • Growth and Maintenance contact person: SUJITHA Venue Address: #st floor,Gandhi Road, Velachery Email Id:velgrotechnologies at gmail dot com info at velgrotechnologies dot com Website:www dot velgrotechnologies dot com