rev_3 components of a data warehouse
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Vensai Consultants is an IT Consulting firm which specializes in providing Strategic leadership, Architectural direction, Resourcing ramp-up, IT Portfolio Management & Implementation of Data Warehouses.
WHO ARE WE?
We are a team of IT Architects specialized in implementing Data Warehouses based on customer's needs. We specialize in building Reporting systems all the way from understanding data sources to
building a presentation layer.
Data Warehousing Today : FactsInformation processing using Microsoft Office Productivity software is long gone.Data is being collected in various formats - Tables, XML, Messages, Images, BLOBs, CLOBs etc.
Data Warehouses are driving the analytical and decision support systems.99% of corporations have Data Warehouse shops attempting to process the data into useful information for the Company.
Vensai Consultants believe that building a Data Warehouse shouldn't be a daunting exercise once the roadmap is adopted. Most companies fail in their data
warehouse efforts because :
Reporting requirements are not understood at the beginning of the project
Software Development life cycle is plagued with process deficiencies
Lack of Strategic direction & Monetary resources
WHAT IF?The Client has access to a team of IT Architects who have versatile experience across several tools related to Data Warehousing, who have sound foundation of Agile methodology in developing Data Warehouses, who have sound strategy in overcoming the challenges related to requirements and who cost a fraction of the typical IT development shops?
INTRODUCING VENSAI CONSULTANTS, LLC
A team of Data Warehouse consultants with diverse experience in all facets of development life cycle. Our consultants have extensive experience in Healthcare, Retail, Banking and Defense sectors. We have access to several IT Vendors who can assist the project in procuring and implementation the required software/hardware for building a Data Warehouse. Our team is also well-versed with Big Data technologies.
CLAIMS DATA WAREHOUSE
Data Acquisition Service
Data Integration Services
Data Repository Services
Data Reporting Services
ARCHIVING AND CLEANSINGDATA SOURCE
STAGING AREA Data Archiving
Data Cleaning
Data Acquisition Service
Data Source Staging Area
Eligibility Source 1
Medical Claims Source 1
Medical Claims Source 2
Pharmacy Claims Source 1
Pharmacy Claims Source 2
Encounters Source 1
Assessment Source 1
Authorizations Source 1
Database
Eligibility Source 1
Medical Claims Source 1
Medical Claims Source 2
Pharmacy Claims Source 1
Pharmacy Claims Source 2
Encounters Source 1
Assessment Source 1
Authorizations Source 1
Archiving and Cleansing
Data Archiving Data Cleaning
Backing up input scores, securing data sources etc., Data Types, de-duplication etc.,
Data Integration Services
DATA PROFILINGDATA MAPPING,
TRANSFORMATION AND DERIVED DATA
Data Quality Measures
Event Logging & Auditing
Data Discovery
Data Validation
Identity Mapping (Master Data Management)
Generate Core Facts
Data Mining
References Data Taxonomies
Generate Dimensions (Type 1-3)Generate Fact Groups (Get Surrogates, Generate Stars)
DATA PROFILING
Data Discovery
(Data Profiling, Metadata collection, statistics,
histograms, Alerts, Etc..)
Data Validation
(RI, Conditionals, Data Types, Valid
Values, Cleansing, Scrubbing)
Data Profiling
Area
DATABASE
DATABASE
Integration & Transformation
Area
DATA MAPPING, TRANSFORMATION AND DERIVED DATA
Identity Mapping (Master Data Management)
Matching Algorithms, Dimensional Authority, Data Domains Setup
Generate Core Facts
Natural Keys only (Type1-3)
Data Mining
Grouper Generative Routines (MEG, PEG etc.,)
References Data Taxonomies
Develop Crosswalks, Taxonomies
Generate Dimensions (Type 1-3)Generate Fact Groups (Get Surrogates, Generate Stars)
DQ & Exception Technical Audit
Area
DATABASE DATABASE
Audit, Balance & Control Area
Data Quality Measures
Event Logging & Auditing
Define Quality Measures, Measure,
Remediation, Load & Reload)
System Event Logging, Auditing,
Balance & Control
DATABASE
Data Repository Services
Operational Admin Data & Operational Decision Support
Data MartsCore Data Area
Core Data Area
Atomic (Core) Facts
Database
Conformed Dimensions
Database
ETL – Generate Pre-Stored Aggregates
Data Marts
Value Proposition KPIs
DATABASE
Aggregate Snapshots
Pre-Aggregated Measures/Metrics Divisional Star-Schemas
DATABASE
DATABASE
DATABASE
Operational Admin Data & Operational Decision Support
DATABASE DATABASE
Data Quality and Audit Logging Metadata Repository
DATABASE
Process Dashboards, Event Monitoring, Warehouse Controls
Administration
Report Authority/Writers
Operation Monitoring
(Framework/Catalog Generation, User Security, Prompts, Data Filters etc.,)
Report Administrative Functions
DATA WAREHOUSE
Purpose: Provides framework for creating
and managing change requests on all aspect
of application development.
Change Management
Purpose: Maintain the IT Systems after the end-of development life cycle. Workflow, Scheduling, Process models, Process grouping, Interactions etc.
IT SupportPurpose: Audit mechanism for tallying the processed data across Data Warehouse layers. Error Handling, Consolidation and reporting.
Audit, Balance & Control
Purpose: Systems, Projects, Vendors, Network Hardware, Software etc.,
IT Portfolio Managements
Purpose: Administration access, configuration, release management, deployment of application servers.
Application Administration
Purpose: Creates application code to move data from one layer to other
Application Development
Purpose: Provides, maintains and supports the authoritative reference data along with taxonomies
Reference Data Management
Purpose: Creates, maintains and supports
the metadata artifacts like data models, data
packages, App Dev Repositories etc.,
Data Architecture
Purpose: Define security policies and manages the data acccess to individuals and processes
Data Security & access Control
Purpose: Create and manages mapping documents and data transformation rules
Data Integration
Purpose: Defines and manages the Data Quality KPIs to assure the quality of the Data Warehouse
Data Quality
Purpose: Creates a frameworks for storing & publishing all metadata content related to a Data Warehouse
Metadata Management
DATA ACQUISITION LAYER
Houses only the changed records from the source system
Optimized for faster loading (Ex: No indexes or Constraints)
Truncate before each load
Only INSERTS into this layer
Access to ETL processes only
Apply business and project specific filter on data before this layer
Replica Structures of the Source System
NO User access at all
Exception: Data Retention period is limited to 2-6 months
Cleansed Data only
Data Load Frequency is requirement specific (Daily, Weekly, Monthly)
Minimize processing impact on application source database.
CANONICAL LAYER
Combine data from Multiple Sources
Denormalized Atomic Transaction Tables
Metadata Conformance
Transaction History accumulated for specific period of time (Ex: 7 years)
NO User access at all
Snapshots at specific changes to a transaction may be maintained
Purge Criteria will be established
Preferably STAR Schema Modeling of Data Structures
Lookup Reference data is loaded into the dimensions
Optimized for faster access (EX: Many indexes, Partitioning)
access to all downstream processes
Transaction History accumulation for specific period of time (Ex: 7 years)
access to all privileged users
DATAMART LAYER
SUGGESTED TOOLS REQUIRED FOR DEVELOPING & MAINTAINING A DATA WAREHOUSE
13
121110
987
654
321 Data Modeling Relational Database Management Systems
Non-Relational Database Systems
ETLMaster Data Management
Analytics
Reporting Data Profiling Job Control
Performance Monitoring
Unix/Mainframe OS Access
Identify Management
Support Management
DATA MODELING
Purpose: Designing data structures.
ER/Studio
Erwin
SAP Power Designer
IBM Rational Rose
TOAD Data Modeler
RELATIONAL DATABASE MANAGEMENT SYSTEMS
Teradata
Purpose: Storing Data.
Oracle,
Microsoft SQL Server
SAP Sybase
IBM DB2
NON-RELATIONAL DATABASE SYSTEMS
Purpose: Storing Data.
Oracle Exadata
Cloudera Big Data,
Hortonworks Hadoop
Mongo DB
ETL
Purpose: Extract, Transform & Load of data.
Informatica Power Center
SSIS
Ab Initio
Cognos Decision Streams
SAS DI Studio
Oracle Data Integrator
MASTER DATA MANAGEMENT
IBM Initiate
Purpose: Create, retrieve Master data.
Nextgate MatchMetrix
Informatica MDM
ANALITICAL
Purpose: Analyzing Information,Predictive Analysis.
Statistica
SAS,
Oracle Business Intelligence EE
IBM SPSS Modeler
REPORTING
Oracle Business Intelligence EEBusiness ObjectsCognosSSRSPyramid AnalyticsTIBCO SpotfireMicrostrategySAP InfoMakerMicrosoft access
Purpose: Writing Reports.
DATA PROFILING
Purpose: Analyzing the source data.
SAP Data Quality Management
SAP Address Directories
Informatica IDQ
IDENTITY MANAGEMENT
Purpose: Provisioning and managing access to users
Oracle Id Management Suite
Tivoli Identity Management
IBM Identity Management
SUPPORT MANAGEMENT
Purpose: Incident management,Escalation management, Contact management
BMC Remedy Action Request System
ABOVE ALLVensai Consultants, LLC is a woman owned small business based out of Maryland.
We specialize in tailoring the solutions based on the client needs & budget. We are available as a team and as well as on a consultant basis. Given our technical
acumen, we are sure that Vensail Consultants, LLC would be a value proposition to our clients.
Vensai Consultants, LLC
815-277 9201
PHONE