Archon Analyzer Training

Transform Workflows, Accelerate Growth with Archon Insights

Course Overview

Archon Analyzer is a powerful tool for data discovery, designed to accelerate data migration and transformation. It analyzes legacy applications, databases, and their code, mapping relationships to streamline modernization efforts. By profiling and classifying data through metadata crawling, it provides actionable insights and ensures compatibility between source and target systems with detailed migration assessments and pre-validation. This course guides participants in exploring diverse data portfolios or centers, teaching techniques to analyze legacy data effectively. The results are captured in metadata, supporting better decisions for application modernization and transformation strategies.

Estimated time: 25-30 hours

Course Content

Module 1

Getting Started

Develop a foundational understanding of the Archon Suite, focusing on its architecture, workflow, and primary use cases for data discovery and management. 

Subtopics
  1. Introduction to the Archon Suite
  2. Architecture and Workflow Essentials
  3. Key Use Cases for Data Discovery
Module 2

Setup

Learn to configure the Archon Analyzer system, manage users and preferences, and set up connectivity for various data sources. Prepare the ground for data discovery insights with tailored pre-analysis configurations.
Subtopics
  1. Configuring Archon Analyzer System
  2. Managing Users, Groups, and Preferences
  3. Customizing Themes and Setting Audits
  4. Monitoring System Status
  5. Handling Different Data Source Types (Structured, Unstructured, Semi-structured)
  6. Setting Up Data Source Profiles, Connectivity, and Projects
  7. Pre-Analysis Configuration Steps
Module 3

Pre-Analysis

Dive into descriptor results to uncover data insights. Dive into particular use cases better by analyzing comprehensively parameters like size, age, etc. Learn to classify data, optimize management, and review metadata for better understanding.

Subtopics
  1. Interpreting Descriptor Results for Data Insights
  2. Classifying Data by Records, Size, and Structure
  3. Recommendations for Data Management Optimization
  4. Reviewing Table-Level Results and Column Catalogs
  5. Accessing and Exploring Open Metadata
Module 4

Tagging and Classification

Master the intricacies of organizing and tagging data efficiently. Understand confidence scoring and build an organized data catalog for streamlined workflows.
Subtopics
  1. Creating and Assigning Tags to Data
  2. Running Tagging and De-Tagging Processes
  3. Calculating Confidence Scores for Data Accuracy
  4. Building an Organized Data Catalog
Module 5

Designer

Learn to map relationships, create relationships and workflows. create visual representations of data lineage with ERDs.

Subtopics
  1. Understanding Relationship Types in Data
  2. Creating Manual Joins for Data Integration
  3. Visualizing Tags and Configuring Settings
  4. Mapping Data Lineage with ERDs (Entity Relationship Diagrams)
Module 6

Data Topics

Focus on building and managing specific data topics reflecting individual business cycles inside the Enterprise database. Refine and organize these topics incrementally and holistically by analyzing metadata of all stages.

Subtopics
  1. Creating and Managing Focused Data Topics
  2. Building Topics Using Descriptor Results
  3. Selecting Data from Crawlers and Catalogs
  4. Refining Topics for Deeper Insights
Module 7

Data Crawler

Understand how to calculate data similarities, configure rules, and run crawlers for detailed analysis. Explore crawler architecture and its best practices.

Subtopics
  1. Calculating Similarity Percentages Across Data
  2. Understanding Crawler Architecture and Best Practices
  3. Configuring Jobs with the Rule Engine
  4. Running Topic Crawler for Data Analysis
Module 8

Migration Assessment

Prepare for data migration with detailed compatibility reports, recommendations for repair and incompatibility resolution techniques.
Subtopics
  1. Generating Compatibility Reports for Pre-Migration
  2. Analyzing Conversion and Notification Status
  3. Identifying and Resolving Fatal Errors
Module 9

Migration Execution

Master the step-by-step migration process. Plan migration waves and learn best practices for a successful end-to-end migration.

Subtopics
  1. Planning Migration Waves for Efficiency
  2. Key Practices for Successful Migration
  3. Step-by-Step Overview of Migration Process
Module 10

Migration Utilities

Utilize built-in tools to automate migration scripts, run adhoc checks, and assure the accuracy of migration through data level comparisons and validations.
Subtopics
  1. Automating Tasks with User Tools
  2. Utilizing the Query Converter for Data Consistency
  3. Performing Meta Validation Checks
  4. Conducting Data Comparisons for Quality Assurance

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