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Tekslate.com is the Industry leader in providing Informatica Data Quality Training across the globe. Our online training methodology focus on hands on experience of Informatica Data Quality.
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The AnalytiX DS Unified Platform is an all-in-one platform to integrate Enterprise Metadata Management,data governance, and code automation into a single, comprehensive product suite to automate manual processes and truly accelerate the delivery of integration projects.
Introduction to Advanced Analytics with SharePoint CompositesMark Tabladillo
SharePoint 2013 provides a new feature called Composites, intended to provide what Microsoft calls a “do-it-yourself” framework for creating a business solution. These solutions can include web pages, web parts, and data sources. This session will demonstrate these features matched against the advanced data science technology available in SQL Server 2014. The specific technology includes Excel Services and Power BI.
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Learn about the importance of having a data quality strategy and setting the overall goals. The six factors of data are also explained in detail and how to tie it together for implementation.
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1. Informatica Data Quality 9.1 Developer (4 days) Course Description
This four-day course will introduce you to Informatica Data Quality Developer. The
course is designed for all users who are new to Informatica Data Quality Developer.
Topics covered include:
• Profiling, Standardization and Address Validation
• Matching and Consolidation Techniques
Course Objectives
On completion of this course Attendees will be able to:
• Navigate the Developer Tool and collaborate on projects with Analysts using the
Analyst Tool
• Perform Column, Rule, Join, Multi object and Mid-Stream Profiling
• Manage reference tables in the Analyst Tool
• Design and develop Mapplets
• Create standardization, cleansing and parsing routines
• Validate addresses
• Identify duplicate records
• Build mappings used to associate and consolidate matched records
Course Agenda
Introduction to Data Quality Management
Unit 1: Working with Informatica Developer 9
• GUI, Mappings, Mapplets, Transformations, Content Sets, Data Objects
Unit 2: Analyst Collaboration
• Reviewing information from the Analyst
• Comments/Tags
• Creating/adding to Reference tables
Unit 3: Developer Profiling
• Join Analysis Profiling
• Column Profiling
• Multi Object Profiling
• Mappings and transformations
• Mid-stream profiling
• Comparative profiling
2. Unit 4: Data Standardization
• Cleanse, transform and parse data
• Develop data standardization mapplets and mappings
Unit 5: Address Validation
• Reusable AV Transformation
• AV Transformation Properties
• AV Inputs and Outputs
• Reusable AV Mapplet
Unit 6: Matching
• Grouping data
• Analyze Detail Report
• DQ Matching
• Cluster Analysis Report
• Matching Mapplets
Unit 7: Identity Matching
• Build Matching mappings using Identity matching
• Identity Populations and Strategies
Unit 8: Consolidation
• Associate and Consolidate data
Unit 9: Data Quality Assistant
• Build Mappings to create and populate the DQA tables
• Perform manual Consolidation and Bad Record Management
Unit 10: PowerCenter Integration
• Run DQ Mappings in PowerCenter
Unit 11: Object Import/Export
• Import Projects using both Basic and Advanced methods
• Export Projects
Unit 12: DQ for Excel
• Run Data Quality Mappings on Excel Spread sheets
3. Unit 13: Parameters
• How to use Parameters in Data Quality mappings, transformations and reference
tables
Unit 14: Content
• What content is available with IDQ9?
• Content Management Service
• Accelerators
• Core Accelerator
Project
• Use all that has been covered and apply it to Product Data
