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Talend Data Quality

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Talend
Talend

This document provides a summary of a Talend webinar on leveraging open source for data quality. The webinar agenda includes introductions to Talend, data cleansing with Talend, and an explanation of why data cleansing is important for data integration. Talend offers open source and commercial data quality and integration products to help users discover, assess, and improve data quality through profiling, cleansing, and management across the data lifecycle.

Technology
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Leverage Open Source for Data Quality
Welcome to this Talend Webinar ,[object Object],All participants are muted You may ask questions using the Q&A panel, located on the right hand side of your screen, at the bottom of the GoToWebinar applet ,[object Object]
If time is too short to address all questions, you will receive an answer via emailIf you are having connection problems, please use also the Q&A panel
Agenda Talend Introduction Data Cleansing with Talend Data Cleansing Why data cleansing? The importance of data cleansing in data integration
Agenda Talend Introduction Data Cleansing with Talend Data Cleansing Why data cleansing? The importance of data cleansing in data integration
© Talend 2010 5 Corporate Overview Leading provider of open source data management software Venture-backed Worldwide operations and users London (Maidenhead) Business Tech Support Nuremberg Business Tech Support Tokyo Business Tech Support Beijing R&D Tech Support San Francisco (Los Altos) Corporate Orange County (Irvine) Business R&D Tech Support New York (Tarrytown) Business Tech Support Paris (Suresnes) Corporate Business R&D Tech Support Milan (Curno) Business Tech Support UtrechtBusiness 5 © Talend 2010
© Talend 2010 6 Business Highlights A high adoption rate ,[object Object]
450,000 users
1,500 customers1 download of Talend Open Studio per minute 100 new customers per month
© Talend 2010 7 Strong Industry Recognition Data Integration Magic Quadrant ,[object Object]
Technical & business criteria
Direct entry as Visionary
Only open source vendorAlso mentioned in Gartner’s Data Quality & Master Data Management research, and by other analyst firms (Forrester, IDC, Bloor Research, etc.)
© Talend 2010 8 Company History IntegrationSuite RTx MDMEnterprise Edition Open Studiov1.0 Products Open Profiler Integration Suite MPx MDMCommunity Edition Data Quality IntegrationSuite Talend Open Studio Beta 1 2002 2006 2007 2008 2009 2010 2005 Operations Operations R&D Company creation Third round of financing: existing investors & Balderton Capital Launched US operations First round of financing: AGF Private Equity & Galileo Partners MDM acquisition Closed second round of financing Closed fourth round of financing © Talend 2010
© Talend 2010 9 Open Source History 2002 1970 1984 1998 2000 2003 2006 2009 Open source is created Free access to code Free Software Foundation (Richard Stallman) Launching GPL and GNU Open source solutions emerge Apache… Software companies come out MySQL, JBoss, SugarCRM… More and more mature key players stand out JBoss, SugarCRM , Jaspersoft, Talend… Economic crisis favors enterprise-ready open source players Open Source Initiative is created Implementing a policy meeting economical and technical realities
© Talend 2010 10 Market Positioning MDM Data Quality Reference data management Data profiling & data cleansing Data Integration Analytics (ETL) Operational Integration Data replication & synchronization, data migration & capture, application upgrade, etc. Extract, Transform & Load for decision support systems
© Talend 2010 11 Solutions Positioning Talend MDM Enterprise Edition Deploy large scale MDM - Full permissions management - Validation rules - Complex workflows Talend Open Profiler Identify data quality problems - Free, GPL, no limitations - Custom indicators Talend MDM Community Edition Manage master data ,[object Object]
Active data model- Lightweight business user UI Talend Data Quality Cleanse & track - Specific components - Reports ,[object Object],Talend Unified Platform Common, unified environment - Front end: UI (Eclipse, Web) - Back end: repository Talend LCp Manage best practices ,[object Object]
Repository Manager
Project AuditTalend Open Studio Create data flows ,[object Object]
Unlimited data flows- 450+ components included Talend Integration Suite Deploy data integration ,[object Object]

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Talend Data Quality

  • 1. Leverage Open Source for Data Quality
  • 2.
  • 3. If time is too short to address all questions, you will receive an answer via emailIf you are having connection problems, please use also the Q&A panel
  • 4. Agenda Talend Introduction Data Cleansing with Talend Data Cleansing Why data cleansing? The importance of data cleansing in data integration
  • 5. Agenda Talend Introduction Data Cleansing with Talend Data Cleansing Why data cleansing? The importance of data cleansing in data integration
  • 6. © Talend 2010 5 Corporate Overview Leading provider of open source data management software Venture-backed Worldwide operations and users London (Maidenhead) Business Tech Support Nuremberg Business Tech Support Tokyo Business Tech Support Beijing R&D Tech Support San Francisco (Los Altos) Corporate Orange County (Irvine) Business R&D Tech Support New York (Tarrytown) Business Tech Support Paris (Suresnes) Corporate Business R&D Tech Support Milan (Curno) Business Tech Support UtrechtBusiness 5 © Talend 2010
  • 7.
  • 9. 1,500 customers1 download of Talend Open Studio per minute 100 new customers per month
  • 10.
  • 12. Direct entry as Visionary
  • 13. Only open source vendorAlso mentioned in Gartner’s Data Quality & Master Data Management research, and by other analyst firms (Forrester, IDC, Bloor Research, etc.)
  • 14. © Talend 2010 8 Company History IntegrationSuite RTx MDMEnterprise Edition Open Studiov1.0 Products Open Profiler Integration Suite MPx MDMCommunity Edition Data Quality IntegrationSuite Talend Open Studio Beta 1 2002 2006 2007 2008 2009 2010 2005 Operations Operations R&D Company creation Third round of financing: existing investors & Balderton Capital Launched US operations First round of financing: AGF Private Equity & Galileo Partners MDM acquisition Closed second round of financing Closed fourth round of financing © Talend 2010
  • 15. © Talend 2010 9 Open Source History 2002 1970 1984 1998 2000 2003 2006 2009 Open source is created Free access to code Free Software Foundation (Richard Stallman) Launching GPL and GNU Open source solutions emerge Apache… Software companies come out MySQL, JBoss, SugarCRM… More and more mature key players stand out JBoss, SugarCRM , Jaspersoft, Talend… Economic crisis favors enterprise-ready open source players Open Source Initiative is created Implementing a policy meeting economical and technical realities
  • 16. © Talend 2010 10 Market Positioning MDM Data Quality Reference data management Data profiling & data cleansing Data Integration Analytics (ETL) Operational Integration Data replication & synchronization, data migration & capture, application upgrade, etc. Extract, Transform & Load for decision support systems
  • 17.
  • 18.
  • 20.
  • 21.
  • 22.
  • 23. Agenda Talend Introduction Data Cleansing with Talend Data Cleansing Why data cleansing? The importance of data cleansing in data integration
  • 24.
  • 25. Data lacks granularity to fulfill the requirements of the applications
  • 26.
  • 27.
  • 28.
  • 29.
  • 31.
  • 33. Identify potential problems before beginning data projects
  • 34. Reduce time and resources needed to find problematic data
  • 35. Allow business analysts to have more control of maintenance and data managementData Quality
  • 36.
  • 37.
  • 38. Eliminate or recycle erroneous records
  • 41. Name, address, & phone validation databases
  • 42. Synonym tables and lookup data
  • 44. Types of processing: Filtering / Correction / EnrichmentData Quality
  • 45.
  • 47. Measure and track level of quality
  • 48. Preserve historical records for measuring improvement or degradation
  • 53. Complete data quality lifecycle managementNatively integrated with Data Integration Implement a "Data Quality Firewall" in data integration processes Data Quality
  • 54. Agenda Talend Introduction Data Cleansing with Talend Data Cleansing Why data cleansing? The importance of data cleansing in data integration
  • 55.
  • 56.
  • 57. Watch anotherWebinar on Demand : http://nxy.in/hkidj
  • 58. Watch our Live Webinars : http://nxy.in/pjeph© Talend 2010 21