Ab Initio Overview
Ab Initio is a powerful suite of data integration and analytics tools used for extracting, transforming, and loading (ETL) data, as well as for data profiling, data quality management, and metadata management. It is commonly used in large-scale data warehousing and business intelligence projects.
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Introduction to Ab Initio: This section provides an overview of the Ab Initio suite, its architecture, and its role in data integration and analytics. It introduces the various components of Ab Initio, such as the Graphical Development Environment (GDE), Co>Operating System, and EME (Enterprise Metadata Environment).
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Ab Initio Graph Development: The Graphical Development Environment (GDE) is the primary tool used for designing and developing Ab Initio graphs. Training covers the basics of graph development, including creating, editing, and linking components in a graph, as well as configuring properties and parameters.
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Transforming and Manipulating Data: Ab Initio offers a wide range of built-in components and functions for data transformation and manipulation. Training covers the usage of these components, such as Sort, Join, Rollup, Filter, Lookup, and more, to perform common data integration tasks.
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Data Profiling and Quality Management: Ab Initio provides features for data profiling, data quality analysis, and data cleansing. Training covers how to profile data, identify data quality issues, and use Ab Initio’s capabilities to clean and standardize data.
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Parallel Processing and Performance Optimization: Ab Initio is designed for high-performance data processing by utilizing parallelism. Training covers techniques for optimizing graph performance, such as partitioning data, parallel execution, and load balancing.
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Metadata Management: The Enterprise Metadata Environment (EME) in Ab Initio is used for managing metadata across projects and environments. Training covers how to define and manage metadata, create data lineage, and ensure metadata consistency.
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Error Handling and Recovery: Data integration processes often encounter errors, and Ab Initio provides mechanisms for error handling and recovery. Training covers how to handle errors, log and track errors, and implement error recovery strategies.
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Advanced Topics: Depending on the training program, advanced topics may be covered, such as advanced graph development techniques, customization using Ab Initio’s scripting language (m_ctl), integrating Ab Initio with external systems, and implementing complex data integration workflows.
Ab Initio Course Curriculum
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1Introduction
- Introduction to Abinitio
- Abinitio Architecture
- Graph Programming
- Introduction to .dat and .dml files
- Partition Components
- Braod Cast
- b. Partition by Expression
- c. partition by range
- d. partition by community
- e. partition by percentage
- f. partition by Round Robin
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2Deportation Components
- Concatenate
- b. Gather
- c. Interleave
- d. Merge
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3Multifile System(MFS)
Multifile System(MFS)
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4Types of parallelism
Types of parallelism
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5Layouts
Layouts
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6Sort Components
- a. Sort
- b. Sort with in groups
- c. Sample
- d. Partition by key and sort
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7Transform Components
- a. Filter by expression
- b. Aggregate
- c. Scan
- d. Rollup
- e. Denormalize Sorted
- f. Normalize
- g. Reformat
- h. Match sorted
- i. Dedup sorted
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8Working with Databases
Working with Databases
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9Database components
- Run SQL
- b. Input Table
- c. Output Table
- d. Truncate Table
- e. Update table
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10Phase and check Points
Phase and check Points
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11Miscellaneous component
- a. Gather logs
- b. Run program
- c. Redefine format
- d. Trash
- e. Replicate
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12Dataset Components
- a. Input File
- b. Output File
- c. Lookup File
- d. Intermediate File
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13FTP Components
- a. FTP From
- b. FTP To
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14Compress Components
Compress b. Uncompress c. Gzip d. Gunzip -
15Validate Component
- a. Check Order
- b. Generate Records
- c. Generate Random bytes
- d. Compare Records
- e. Compute Check Sum
- f. Compare Check Sum
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16Translate components
a. Record XML b. Write XML -
17Project and Sandbox
Project and Sandbox
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18Performance Tuning
Performance Tuning