Ten tools for ten big data areas 01 informatica
Transcript of Ten tools for ten big data areas 01 informatica
Informatica OverviewTen Tools for Ten Big Data Areas
Series 01 Big Data Integration
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Ten Tools for Ten Big Data Areas – Overview
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10 Tools10 Areas Data Warehouse
Data Platform
Data Bus
Programm
ing
Data A
nalyti
cs
Sear
ch a
nd In
dex
Visualization
Data Integration
Streaming
Data
base
First ETL fully on Yarn
Data storing platformData computing platform
SQL & Metadata
Visualize with just few clicks
Powerful as JavaSimple as Python
real-time streamingMade easier
Yours Google
Lightning-fast cluster computing
Real-time distributed data store
High throughput distributed messaging
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Agenda
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About data integration
2 About Informatica company and its approach
3 Informatica architecture, client, server components, developer tool overview
4 Informatica why and why not
5 Informatica job trend
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Little About DI – Data Integration
• DI involves combining data residing in different sources and providing users with a unified view of these data.
• DI process is also called Enterprise Information Integration (EII).
• DI usually means ETL - data extract, transformation, load.
• 80% of enterprise data projects' efforts are spent on DI work.
• Data cleansing, audit, master data management are usually considered with DI.
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About Informatica Company
• Found in 1993• 2014 revenue – US$1.05 billion• Average growth rate 17% per year• Employee – 5500+• Customers – 5000• Value customer covers up to 70% of global top 500 company • Partners – 500+• Cover various business, industries and government organizations
including telecommunications, health care, financial and insurance services.
• A company dedicate on data integration and management• Bought out as private company on August 2015.
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The Tradition Approach
Application Database Partner Data
SWIFT NACHA HIPAA …
Cloud Computing Unstructured
87% of enterprises use hand-coding for data integration
75% of enterprises reported increased maintenance costs
Data Warehouse
DataMigration
Test DataManagement& Archiving
Master DataManagement
Data Synchronization B2B Data
ExchangeData
ConsolidationComplex
EventProcessing
UltraMessaging
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The Informatica Approach
Application Partner Data
SWIFT NACHA HIPAA …
Cloud Computing UnstructuredDatabase
Data Warehouse
DataMigration
Test DataManagement& Archiving
Master DataManagement
Data Synchronization
B2B DataExchange
DataConsolidation
ComplexEvent
ProcessingUltra
Messaging
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Informatica Latest Products v9.6
• Data Integration PowerCenter PowerExchange
• Master Data Management
• Cloud Integration
• Big Data BDE – Informatica Developer Big data parser
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Informatica PowerCenter Overview
• An ETL tool ( Extract, Transform and Load)
• The main advantages over other ETL tools lies in its robustness, across OS, and high performance.
• It can read from a variety of different sources and write to as many targets, while transforming data in between.
• The architecture design use SOA concept for better extensibility and high availability
• Single sign on access, built-in version control, GUI development, built-in schedule and monitoring
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Informatica PowerCenter Architecture
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Informatica PowerCenter Client Component
• Repository Manager – meta data management
• Designer – Tool to build mapping for ETL logic
• Workflow Manager – Tool to build/run session and workflow
• Workflow Monitor – Tool to monitor job running
• Administration Console (browser based) - administration
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Repository Manager
Navigate through multiple folders and repositories, export & import, user & folder management
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Designer
Create and debug mapping & maplet including source, target, transformations for core ETL logic.
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Workflow Manager
Create, schedule, and run session, workflow, worklet wrapping mapping.
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Workflow Monitor
Monitor running statistics and control execution of workflows.
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Administration Console
Monitor and manager various of Informatica service, licenses, etc.
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Informatica PowerCenter Server Components
• Repository service: The Repository service manages the repository. It retrieves, inserts, and updates metadata into the repository database tables.
• Integration service: The Integration service runs sessions and workflows.
• Web services hub: The Web services hub receives requests from web service clients and exposes PowerCenter workflows as services.
• Informatica service: Overall service management and coordination
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Informatica Big Data Edition Overview
Extract, load, and transform with big data ecosystem.
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Informatica BDE Component - Developer
BDE is all in one tool and can fully push job running on Hadoop
Developer component• Mapping – Tool to build mapping for ETL logic• Maplet – Reusable mapping• Workflow – Tool to build workflow• Application – Tool to deploy mapping/workflow
Others• Monitoring Console (browser based) – job monitoring• Administration Console (browser based) - administration
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Why Informatica Product
• Proven technology leadership• A track record of continuous innovation• The most neutral trusted partner – very focus• Long history of customer success• Over 5000+ industry leaders relies on Informatica• Major banks, telecom, insurance, energy, health, research
companies are using Informatica in Toronto • Easy and popular to use• Pull push job to Hadoop• Connector for many kinds of source• Performance and reliability
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Side Effect - When May Not To
• High price: 150K+ to start
• Get challenges from ELT – Leverage database for transformation. Need investment on ETL server. Its push to database optimization has limitations.
• Schedule, monitoring, and version control functions are limited
• BDE is relative new although the concept is great
• Alternatives - MS SSIS, Talend Studio, Pentaho Data Integration
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Informatica Job Trends
Level Junior Level(20%)
Middle Level(40%)
Expert Level(40%)
Position ETL developerInformatica dev.DW developer
Sr. ETL developerData SpecialistETL specialistETL designerETL Admin
Big data ETL dev.BDE developerInformatica architectInformatica consultant
Tool PowerCenter Informatica Developer
Other
UsagePercentage
80% 10% 10%
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BIG DATA is not only about data, but the understanding of the data and how people use data actively to improve their life.