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  • In this course you can learn end to end ETL process using IICS (Informatica Intelligent Cloud Service)

 Informatica's product portfolio is focused on data integration: extract, transform, load, information lifecycle management, business-to-business data exchange, cloud computing integration, complex event processing, data masking, data quality, data replication, data virtualization, master data management, ultra messaging, and data governance. These components form a toolset for establishing and maintaining data warehouses.

 

                     Data integration involves combining data residing in different sources and providing users with a unified view of them. This process becomes significant in a variety of situations, which include both commercial (such as when two similar companies need to merge their databases) and scientific (combining research results from different bioinformatics repositories, for example) domains. Data integration appears with increasing frequency as the volume (that is, big data) and the need to share existing data explodes. It has become the focus of extensive theoretical work, and numerous open problems remain unsolved. Data integration encourages collaboration between internal as well as external users. The data being integrated must be received from a heterogeneous database system and transformed to a single coherent data store that provides synchronous data across a network of files for clients. A common use of data integration is in data mining when analyzing and extracting information from existing databases that can be useful for Business information

  • IICS
  • Sql
  • ETL
  • Informatica
  • ETL Developers
  • ETL Architects
  • Data Architects
  • Data Engineers
  • Database Developers
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  • Section 1 : Unpublished Section 3 Lectures 00:10:27

    • Lecture 1 :
    • Introduction to IICS Services Preview
    • Lecture 2 :
    • Runtime Environments
    • Lecture 3 :
    • Secure Agent
  • Section 2 : Connections 3 Lectures 00:08:25

    • Lecture 1 :
    • Oracle Connection
    • Lecture 2 :
    • PostgreSql Connection
    • Lecture 3 :
    • Flat File Connection
  • Section 3 : Working with Source and Targets 11 Lectures 00:48:48

    • Lecture 1 :
    • Load data from Source to Target
    • Lecture 2 :
    • Source Type - Multiple Objects
    • Lecture 3 :
    • Source Filter
    • Lecture 4 :
    • Source Sorting
    • Lecture 5 :
    • Source PreSql
    • Lecture 6 :
    • Source PostSql
    • Lecture 7 :
    • Source Override
    • Lecture 8 :
    • Target Update
    • Lecture 9 :
    • Target Upsert
    • Lecture 10 :
    • Target Delete
    • Lecture 11 :
    • Execution Properties
  • Section 4 : Transformations 13 Lectures 02:02:09

    • Lecture 1 :
    • Expression
    • Lecture 2 :
    • Router
    • Lecture 3 :
    • Filter
    • Lecture 4 :
    • Sorter
    • Lecture 5 :
    • Aggregator
    • Lecture 6 :
    • Joiner
    • Lecture 7 :
    • Joiner - Using Multiple Joiner
    • Lecture 8 :
    • Joiner - Master, Detail and Full Outer
    • Lecture 9 :
    • Connected Lookup
    • Lecture 10 :
    • Unconnected Lookup
    • Lecture 11 :
    • Union
    • Lecture 12 :
    • Sequence Generator
    • Lecture 13 :
    • Rank
  • Section 5 : Tasks 2 Lectures 00:15:33

    • Lecture 1 :
    • Mapping Task
    • Lecture 2 :
    • Synchronization Task
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My self Jim, am an experienced Software and Robotics Engineer with a demonstrated history of working in the financial services industry. Passionate about teaching and blogging. Am also a YouTuber and an instructor. Skilled in Data Engineering with various ETL, Database and Cloud Technologies, and a Robotics Engineer. Strong consulting professional with a Master’s degree focused in Software Systems (Data Analytics) from Birla Institute of Technology and Science, Pilani.
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