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Course Content
1. Data Modeling Concepts
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Recognizing the fundamentals of data modeling and its importance How to implement data modeling in the context of a data warehouse.
2. Deep Dive into Data Modeling
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The many kinds of data modeling Acquiring knowledge about conceptual data modeling Modeling Physical Data Intelligent Data Modeling knowing the advantages and range of data modeling.
3. Multidimensional Data Modeling
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Basic Multidimensional Modeling Architecture Cube deployment for multidimensional modeling Recognizing the ideas of Facts and Dimensions, as well as their distinctions.
4. Introduction to Talend
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Tool for Open Source Data Integration called Talend Utilizing Big Data Recognizing Talend Open Studio.
5. Talend Installation
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Getting Talend installed correctly System prerequisites Troubleshooting for typical blunders Problems with installation.
6.Talend Key Features
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Discovering the Talend Architecture Important ideas and characteristics Components of Talend like Job Workspace Information.
7. Talend Job Creation
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Creating Talend Jobs: A Quick Guide Utilizing a delimited file Utilizing Meta Data Schema for integrating data Recognising propagation tFilterRow and a string filter are deployed while constructing jobs Making of a CSV file.
8. Data Management Techniques
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Talend Open Studio for Data Management Implementation data integrity Integration Recognizing the ideas of ETL and data warehousing.
9. Schema & Data Aggregation
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Knowledge of Talend Job design and its features in-depth Finding out about tMap Using data aggregation methods For doing out various actions on a Schema, use tReplicate. Data input and output are mapped using tMap.
10. Data Source Connection
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Employing Data Source Connection Introducing a database component deployment Building a relationship Source and target databases Importing metadata and schema.
11.Talend Routines/Functions
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Overview of Talend Functions Calling the procedures and deploying them Recognizing routines Talend Open Studio for processing XML data Format for dates.
12. Data Transformation
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Data transformation Executing the Job Adding Columns Reproducing a job.
13. Working with Metadata
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Developing Metadata Integrating data sources.
14. Data Corrections
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Capturing Rejects Changing the Search Reproducing a job.
15. Data Filtering
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Data Filtering for Output Using a number of filters.
16. Context Variables
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Using Talend Job Context Variables Database as Metadata.
17. Graphical Interface of Talend
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Creating Jobs Jobs in Graphics Talend’s graphical user interface Components from Talend Naming customs.
18. Trigger
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Main Connection for a Row Connection in Row-Iterate On sub Job OK Trigger Connection On Component OK Connection Trigger.
19.Connecting Talend with Hadoop
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Talend implementation for Hadoop Specifying the ETL procedure Talend implementation of Hive Data import in Hive Dividing a hive The Talend pig A data load Executing data in parallel.
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