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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

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sadguru technologies 8179736190 OBIEE Online Training Course Duration - 40hrs Data warehousing overview Basics of Data Warehousing What is OLTP and OLAP? Difference between OLTP and OLAP Advantages of OLAP What is Data Marts and ODS? Dimensional Modeling Overview Introduction to Dimensional Modeling What are Facts and Dimensions? Star schema and Snowflake schema Introduction to Business Intelligence What is Business Intelligence Where BI tools are Used Why the Oracle Business Intelligence Advantages Architecture, Components Clients - Answers, Delivers, Dashboards and Web administration, Servers- Oracle BI server, Presentation, Scheduler server Server Architecture Repository Basics What is Meta data? Creating a Repository using BI Administration Tool Physical, Business Model and Mapping, and presentation layers Properties of repository objects Building Physical Layer of a Repository Objects of Physical Layer

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sadguru technologies 040-40154733 - 8179736190 OBIEE Online Training Course Duration - 40hrs Data warehousing overview Basics of Data Warehousing What is OLTP and OLAP? Difference between OLTP and OLAP Advantages of OLAP What is Data Marts and ODS? Dimensional Modeling Overview Introduction to Dimensional Modeling What are Facts and Dimensions? Star schema and Snowflake schema Introduction to Business Intelligence What is Business Intelligence Where BI tools are Used Why the Oracle Business Intelligence Advantages Architecture, Components Clients - Answers, Delivers, Dashboards and Web administration, Servers- Oracle BI server, Presentation, Scheduler server Server Architecture Repository Basics What is Meta data? Creating a Repository using BI Administration Tool Physical, Business Model and Mapping, and presentation layers Properties of repository objects Building Physical Layer of a Repository

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Description for "Oracle OBIEE corporate training in India" OBIEE 11g, OBIEE 10g, Siebel Analytics,Obia Dac sadguru technologies 040-- Data warehouse Concepts · Data warehouse · Data mart · Basics of Data Warehousing · What is OLTP and OLAP? · Difference between OLTP and OLAP · Dimensional Modeling Overview · Introduction to Dimensional Modeling · Dimensional table · Fact table · Aggregate table · Star schema · Snowflake schema · Star schema Vs. Snowflake schema · Fact Vs. Dimension table · Fact Vs. Aggregate Table · Types of Facts · Types of Fact tables · Types of Dimensions · Level of Granularity · Grain of fact · Slowly Changing Dimensions(SCD) · Normalization · DE normalization OBIEE Overview · Introduction to Siebel Analytics · Introduction to OBIEE 10 G · What is Obiee? · Advantages of Obiee · End to End Life Cycle of Obiee · Types of Reports · Types of Applications · Components OF Obiee · Client Components Of Obiee · Obiee Architecture · Difference between Obiee 10g and Siebel Analytics · Difference between Obiee 10g

Description for "Oracle OBIEE corporate training in India" OBIEE 11g , OBIEE 10g , Siebel Analytics ,Obia Dac Data warehouse Concepts · Data warehouse · Data mart · Basics of Data Warehousing · What is OLTP and OLAP? · Difference between OLTP and OLAP · Dimensional Modeling Overview · Introduction to Dimensional Modeling · Dimensional table · Fact table · Aggregate table · Star schema · Snowflake schema · Star schema Vs. Snowflake schema · Fact Vs. Dimension table · Fact Vs. Aggregate Table · Types of Facts · Types of Fact tables · Types of Dimensions · Level of Granularity · Grain of fact · Slowly Changing Dimensions( SCD ) · Normalization · DE normalization OBIEE Overview · Introduction to Siebel Analytics · Introduction to OBIEE 10 G · What is Obiee? · Advantages of Obiee · End to End Life Cycle of Obiee · Types of Reports · Types of Applications · Components OF Obiee · Client Components Of Obiee · Obiee Architecture · Difference between Obiee 10g and Siebel Analytics · Difference between Obiee 10g

​Description for "Oracle OBIEE corporate training in India" OBIEE 11g , OBIEE 10g , Siebel Analytics ,Obia Dac sadguru technologies 040-40154733-8179736190 Data warehouse Concepts · Data warehouse · Data mart · Basics of Data Warehousing · What is OLTP and OLAP? · Difference between OLTP and OLAP · Dimensional Modeling Overview · Introduction to Dimensional Modeling · Dimensional table · Fact table · Aggregate table · Star schema · Snowflake schema · Star schema Vs. Snowflake schema · Fact Vs. Dimension table · Fact Vs. Aggregate Table · Types of Facts · Types of Fact tables · Types of Dimensions · Level of Granularity · Grain of fact · Slowly Changing Dimensions( SCD ) · Normalization · DE normalization OBIEE Overview · Introduction to Siebel Analytics · Introduction to OBIEE 10 G · What is Obiee? · Advantages of Obiee · End to End Life Cycle of Obiee · Types of Reports · Types of Applications · Components OF Obiee · Client Components Of Obiee · Obiee Architecture · Difference between Obiee 10g and Siebel Analytics · Difference between Obiee 10g

Jaspersoft Overview Overview and Architecture List the components ofthe Jaspersoft BI Suite Describe the Technology Stack Jaspersoft Studio Describe the report development workflow Navigate Jaspersoft Studio panels and views Configure data adapters to access data sources Create projects to manage the report development process Add palette elements to a report Utilize expressions and built-in functions to format reports with transformed data Define Variables to compute derived values Define groups to design data-driven report appearence Add tables and crosstabs Include subreports Apply styles and fonts Add HTML5 charts to a report Preview and export reports Internationalize reports Configure a connection to a JasperReports Server Deploy Reports to a JasperReports Server JasperReports Server JasperReports Server Overview Create and use dashboards Create Ad Hoc Topics using Jaspersoft Studio Create and uase a simple Domain Create and use a complex Domain Observe SQL Queries Localize a Domain Secure a Domain Advanced Domain Strategies Create cascading input controls Jaspersoft ETL ETL Overview Navigate Jaspersoft ETL Design an ETL job Survey ETL components Data Warehouse Concepts Understand basic concepts of Data Warehouse (DW) Define components of a DW Examine star and snowflake schemas Review three questions to ask when designing a DW Jaspersoft OLAP Examine a view using Jaspersoft OLAP Use the Jaspersoft workbench to define standard and time dimensions Create a cube Publish a schema to the repository Create two MDX views Add a security grant to restrict data access

Contact us: Durga Prasad +91-, Best Oracle OBIEE 11g Online Training Classes Data Warehouse Basics of Data Warehousing What is OLTP and OLAP? Difference between OLTP and OLAP Dimensional table Fact table Aggregate table Star schema Snowflake schema

SAP BO Online & Classroom Training is allocating by SBR Trainings from Hyderabad. We are providing Instructor lead training. They’ve 7+ years of experience in Real time and also we providing live interaction with instructor by 24*7. From our institute pupils can expect services like Course Content, Live Recording Sessions, time flexibility, and live project with assistance, course materials along with Hospitality. Course Details: Introduction To SAP BO DATA WAREHOUSING • OLTP vs. OLAP • Types of OLAP • Data mart/Data warehouse Life cycle • Star/Snow/Extended Star schema design DATABASE CONCEPTS Joins & Cardinality ARCHITECTURAL OVERVIEW IMPORT WIZARDPUBLISHING WIZARD OVERVIEW OF SAP BO 4.0 GUIDELINES FOR CERTIFICATION For More Details:- Mobile:

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course content for cognos online training and class room training Best cognos online training Introduction to Data warehousing? Introduction to Business Intelligence? Who needs Data warehousing? Why Data warehousing is required? Data warehousing Architecture Differ OLTP & OLAP? Data Mart -Need ,Advantages ETL - Process training What is a Dimension? What are Facts? Star Schema? Snowflake Schema? Dimension Modeling? Slowly changing Dimensions? Conformed Dimension? About Cognos 10 BI training Architecture etc..,

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