An Introduction to MSBI & DWH by QuontraSolutions

Information about An Introduction to MSBI & DWH by QuontraSolutions

Published on November 3, 2014

Author: quontra123

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PowerPoint Presentation: An Introduction to MSBI & DWH Presented By Quontra Solutions Email : [email protected] Contact : 404-900-9988 Website : www.quontrasolutions.com PowerPoint Presentation: What Is ERP, In what way ERP & BI Helps a Business What is Data warehousing ?? with different examples. How BI works with data warehouse What is MSBI ?? Different BI Tools in the Market Understand the terminologies of Data warehouse (DWH) This Presentation will Helps you to understand the following PowerPoint Presentation: What is DataBase & Role of Database in any Business. What is ERP ?? What is OLTP ?? What are master & Transaction tables ?? What is DWH ?? What is OLAP ?? What are reports and why it is so important ?? What are aggregations and how it is useful for Analysis. What is ETL ? What is the use of ETL in DWH ? Lets Understand this first PowerPoint Presentation: What is DataBase (DB) DataBase (DB) – A place where the collection of records will be maintained in a structured format so that It can be easily retrieved when ever required is known as a database . One of the most popularly used database model is the relational model. It was developed by Edgar Codd in 1969. Example : How do you think the Organizations store their employee and customer information? they store it in a database . where do you think the website maintains the login information about their users? they store it in a database . PowerPoint Presentation: What is ERP & OLTP ERP– ERP, which is an abbreviation for Enterprise Resource Planning, is principally an integration of business management practices and modern technology. ERP is a business tool that management uses to operate the business day-in and day-out. OLTP– OLTP, which is an abbreviation for Online Transaction processing, handle real time transactions which inherently have some special requirements. If your running a Bank, for instance, you need to ensure that as people withdrawing money from ATM’S they are properly and efficiently updating the database also those transactions are properly effecting to their Accounts. PowerPoint Presentation: 6 Data, Data everywhere yet ... I can’t find the data I need data is scattered over the network I can’t get the data I need need an expert to get the data I can’t understand the data I found available data poorly documented I can’t use the data I found results are unexpected data needs to be transformed from one form to other PowerPoint Presentation: 7 What are the users saying... Data should be integrated across the enterprise Summary data has a real value to the organization Historical data holds the key to understanding data over time What-if capabilities are required PowerPoint Presentation: 8 In What way I can Answer the above question with my OLTP system... Is Data Warehousing is the Solution ?? YES Can I Improve my business using Data warehousing ?? YES.. How ?? PowerPoint Presentation: 9 Which are our lowest/highest margin customers ? Who are my customers and what products are they buying? Which customers are most likely to go to the competition ? What impact will new products/services have on revenue and margins? What product prom- -otions have the biggest impact on revenue? What is the most effective distribution channel? Data warehouse helps any Business in Many Ways Let’s say A producer wants to know…. PowerPoint Presentation: What is DWH & OLAP DWH – (Data Warehousing) It usually contains historical data derived from transaction data, but it can include data from other sources. It separates analysis workload from transaction workload and enables an organization to consolidate data from several sources. Raugh kimball – In simplest terms Data Warehouse can be defined as collection of Data marts. -Data marts : Subjective collection of Data. Bill Inmon – A data warehouse is a “subject-oriented, integrated, time variant and nonvolatile” collection of data in support of management’s decision-making process. ” PowerPoint Presentation: OLAP – (Online Analytical Processing) The ability to analyze metrics in different dimensions such as time, geography, gender, product, etc. For example, sales for the company is up. What region is most responsible for this increase? Which store in this region is most responsible for the increase? What particular product category or categories contributed the most to the increase? Answering these types of questions in order means that you are performing an OLAP analysis. OLAP servers provides better performance for accessing multidimensional data. The most important mechanism in OLAP which allows it to achieve such performance is the use of aggregations. Aggregations are built from the fact table by changing the granularity on specific dimensions and aggregating up data along these dimensions.  OLAP systems gives analytical capabilities that are not in SQL or are more difficult to obtain. PowerPoint Presentation: OLTP Vs OLAP 1. OLTP (on-line transaction processing) 2. Day-to-day operations: purchasing, inventory, banking, manufacturing, payroll, registration, accounting, etc. 1. OLAP (on-line analytical processing) 2. Data analysis and decision making 3. The tables are in the Normalized form. 3. The tables are in the De-Normalized form. 5. For Designing OLTP we used data modeling. 5. For Designing OLAP we used Dimension modeling. OLAP is classified into two i.e., MOLAP & ROLAP 4. We Called the Storage objects as Tables. i.e., All the masters and the Transactions are stored in the tables. 4. We Called the Storage objects as Dimension and Facts. i.e., All the masters Are dimension and the Transactions are Facts. PowerPoint Presentation: Masters Dimensions Product Prod_Id Prod_Name Base_Rate Cat_Id Category Cat_Id Cat_Name Cat_Desc Group_Id Group Group_Id Group_Name Group_Desc Product_Dim Prod_Id Prod_Name Base_Rate Cat_Name Cat_Desc Group_Name Group_Desc Topics Later We will Cover 2. Slowly changing Dimensions 1. Types of Dimensions 3. Hierarchies Normalized Tables De-Normalized Tables OLTP OLAP PowerPoint Presentation: Transactions Facts SalesOrder_Fact Cust_Id Prod_Id Order_Date Delivery_Date Unit_Price Qty Total_Amount Tax SalesOrderDetails Cust_Id SalesPerson Prod_Id Order_Date Booked_Date Delivery_Date Unit_Price Qty Tax Created_By Qty*Unit_Price+Tax=Total Amount Usually calculate all the calculations before storing into OLAP Reference keys of Dimensions Numeric fields called as Fact or measure OLTP OLAP PowerPoint Presentation: Dimensions & Facts Cubes Prod_Dim Prod_Id ……… Cust_Dim Cust_Id ……… Time_Dim Date Year Month ……… Org_Dim Org_Id ……… SalesOrder_Fact Cust_Id Prod_Id Order_Date Delivery_Date Org_Id Unit_Price Qty Total_Amount Tax STAR Schema ROLAP MOLAP PowerPoint Presentation: Product_Dim Prod_Id Prod_Name Base_Rate Cat_Name Cat_Desc Group_Name Group_Desc SalesOrder_Fact Cust_Id Prod_Id Order_Date Delivery_Date Unit_Price Qty Total_Amount Tax Dimensions Facts Cubes ROLAP MOLAP NOW WHAT IS OLAP ? PowerPoint Presentation: Star Snow Flake 1. Dimensions will have only relation with the Fact. (Normalized model) 1. Dimension will have a relation other than Fact. (De-Normalized model) 2. One to many or One to One relation will Occur. 2. Used for many to many relation. 3. Performance is fast but required huge storage space. 3. Performance is Low but required Less storage space. MOLAP SCHEMA’S PowerPoint Presentation: 18 A single, complete and consistent store of data obtained from a variety of different sources made available to end users in a what they can understand and use in a business context. [Barry Devlin] NOW WHAT IS DWH ? PowerPoint Presentation: 19 Data Warehousing -- It is a process Technique for assembling and managing data from various sources for the purpose of answering business questions. Thus making decisions that were not previous possible A decision support database maintained separately from the organization’s operational database PowerPoint Presentation: 20 Also Data Mining works with Warehouse Data Data Warehousing provides the Enterprise with a memory Data Mining provides the Enterprise with intelligence PowerPoint Presentation: What is BI : Implementing a data warehouse on any business to provide the Analysis and decision making solution using some set of tools is called Business Intelligence. NOW WHAT IS MSBI ? Now what is MSBI : Microsoft introduced a complete tool kit inside the SQL SERVER to implement Data warehoue. PowerPoint Presentation: Administrator : The person who can manage the complete administration part of the Data warehouse, similar to DBA. BI Architect : The person who designs the complete architecture of Data Warehouse for any business. ETL Developer : The person who works on SSIS or any other ETL Tools like Informatica. Cube Developer/OLAP Developer : The person who works on SSAS Cube creations and MDX language. Report Developer : The person who works on SSRS Reports or similar tools like BO , Crystal reports etc., The Different Roles of BI Developers PowerPoint Presentation: Base Product $ 25K $ 40K $ 25K Oracle 10g IBM DB2 Why Only MSBI ? PowerPoint Presentation: Base Product Manageability (included) $ 25K $ 40K $ 25K $ 56K $ 35K Tuning $3K Diagnostics $3K Partitioning $10K Performance Expert $10K PowerPoint Presentation: Base Product Manageability (included) $ 25K $ 35K $ 154.5K $ 56K $ 116K Business Intelligence OLAP $20k Mining $20k BI Bundle $20k DB2 OLAP $35K DB2 Warehouse $75K Cube Views $9.5K PowerPoint Presentation: Base Product Manageability (included) $ 25K $ 154.5K $ 164.5K $ 232K $ 116K Business Intelligence High Availability Data Guard $116K Recovery Expert $10k PowerPoint Presentation: Base Product Manageability (included) High Availability Business Intelligence Multi-core $348k - $464k $ 232K $ 25K $ 164.5K $ 329K $164.5K $116K - $232K PowerPoint Presentation: DWH ARCHITECTURE Operational Data Sources Data-Migration Middleware (Populations-Tools) Data Storage Repository Data Analysis Reporting, OLAP, Data Mining PowerPoint Presentation: Additional Benefit Number of Users What happened? Why did it happen? What will happen? What happened why and how? Reporting Interactive OLAP Ad hoc-Queries Data Mining FRONTEND TOOLS PowerPoint Presentation: PRACTICAL SCENARIO Stage DB Optional ROLAP OLTP MOLAP O L A P SSIS Integration Services Analysis Services Reporting Services SSAS SSRS SSIS Data Marts CUBE PowerPoint Presentation: DWH TERMINOLOGIES OLTP – Online Transaction Processing OLAP – Online Analytical Processing MOLAP – Multidimensional OLAP ROLAP – Relational OLAP HOLAP – Hybrid OALP Dimensions – De-normalized master tables Attributes – Columns of Dimensions Hierarchies – sequential order of attributes Facts (Measure group) – Transactions tables in DWH Fact (Measures) Cubes – Multidimensional storage of Data KPI’s – Key performance indicator Dashboards – combination of reports,kpis,charts Data Marts – Subjective Collection of Data SCD’s – Slowly changing Dimensions Perspectives – Child Cube PowerPoint Presentation: THANK YOU 

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