Data Discovery and Advanced Profiling 10
Data Discovery and Advanced Profiling 10 Course Online by Checkmate IT Tech offers a transformative journey, elevating your expertise and mastering essential skills. Data Discovery and Advanced Profiling 10 (DDAP 10) is here to elevate your business insights and empower smarter decisions.
- 10+ Courses
- 30+ Projects
- 400 Hours
Data Discovery and Advanced Profiling 10 Training is suitable for the following target audiences:
Data Analysts: Data analysts are professionals who analyze data and derive useful insights for company strategy.
Data Engineers: Data engineers create and manage data pipelines and need sophisticated profiling to guarantee the correctness and dependability of the data.
Professionals in business intelligence: Those who use BI tools to generate reports and dashboards by drawing on insights from well-characterized and comprehended data.
Data Scientists: Data scientists are machine learning and predictive modeling experts who require high-quality data to create reliable models.
IT and Database Administrators: Database and IT administrators are experts who assist in discovery procedures, maintain databases and systems, and guarantee data integrity.
Data Analyst: These positions center on examining databases, spotting patterns, and providing useful information for business choices.
Data Engineer: A data engineer’s main responsibilities are building data pipelines and guaranteeing the consistency and quality of data for analysis.
Business intelligence developer: Jobs that use insights from advanced data profiling to create dashboards, reports, and data visualizations.
Data Scientist: Possibilities to create machine learning models and predictive analytics solutions using clean, profiled data.
Data Governance Specialist: Positions committed to using cutting-edge data profiling tools to guarantee data integrity, compliance, and quality.
These positions, which offer competitive pay and opportunities for career advancement in the data-driven labor market, are highly sought after in sectors like technology, healthcare, retail, and finance.
- Importance of data discovery in data quality initiatives
- Overview of Advanced Profiling 10 platform/tools
- Types of profiling: structure, content, relationship, dependency
- Setting up the profiling environment
- Connecting to structured and semi-structured data sources
- Working with relational databases, flat files, and cloud data
- Configuring metadata and data import options
- Source validation and sampling best practices
- Performing column-level analysis: data types, nulls, patterns
- Table-level profiling: record counts, uniqueness, relationships
- Using frequency and pattern analysis for quality insights
- Identifying anomalies and outliers
- Creating and applying data validation rules
- Custom metrics and scorecards for data quality
- Business rule integration for domain-specific profiling
- Interpreting rule results and quality thresholds
- Discovering primary key/foreign key relationships
- Functional and conditional dependency analysis
- Redundancy and data lineage checks
- Visualizing relationships across tables and systems
- Fuzzy matching and pattern recognition
- Duplicate detection and consolidation
- Profiling unstructured and semi-structured content
- Working with master data in profiling contexts
- Generating profiling reports and quality dashboards
- Using scorecards to visualize rule outcomes
- Monitoring trends over time
- Exporting and sharing results with stakeholders
- Final project: Complete profiling on a multi-source dataset
- Course wrap-up and knowledge check
Note: This course is ideal for data engineers, analysts, and data quality professionals aiming to master profiling and discovery techniques using enterprise tools (e.g., Informatica, Talend or similar platforms). This Curriculum can be modified as per the latest industry trends.
It is a comprehensive training that teaches professionals how to explore, understand, and profile data using Informatica’s Data Quality tools—primarily version 10—to ensure data accuracy, consistency, and governance.
Data analysts, data stewards, ETL developers, business analysts, and anyone working with data quality or governance initiatives.
Basic knowledge of databases, SQL and data warehousing concepts is recommended. Familiarity with data quality principles is a plus.
Topics include data discovery techniques, advanced profiling methods, rule specification, scorecards, pattern recognition, joins/profiling across data sources, and best practices in data quality assessment.
Yes, the course offers extensive hands-on labs and real-world use cases using Informatica Developer Tool and Analyst Tool.
Primarily Informatica Developer Tool and Informatica Analyst Tool (version 10.x), along with access to sample datasets for profiling.
Yes, participants receive a certificate of completion and are prepared to take official Informatica Data Quality certification exams if desired.
You can enroll via our website or contact our support team directly via email or phone. We’ll guide you through the quick and easy registration process.
https://checkmateittech.com/
Email info@checkmateittech.com OR Call Us +1-347-4082054
Yes, while prior experience helps, the course starts from foundational concepts and progresses to advanced profiling techniques.
You will gain expertise in identifying data quality issues, understanding data patterns, implementing data profiling strategies and supporting business decisions with cleaner and more reliable data.
We currently offer online sessions with flexible weekday/weekend batches for 8 weeks. All sessions are recorded. You’ll have access to the recordings, along with support from instructors and peers in our learning portal.
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Job opportunities in USA and Canada
Data Analyst: These positions center on examining databases, spotting patterns, and providing useful information for business choices.
Data Engineer: A data engineer’s main responsibilities are building data pipelines and guaranteeing the consistency and quality of data for analysis.
Business intelligence developer: Jobs that use insights from advanced data profiling to create dashboards, reports, and data visualizations.
Data Scientist: Possibilities to create machine learning models and predictive analytics solutions using clean, profiled data.
Data Governance Specialist: Positions committed to using cutting-edge data profiling tools to guarantee data integrity, compliance, and quality.
These positions, which offer competitive pay and opportunities for career advancement in the data-driven labor market, are highly sought after in sectors like technology, healthcare, retail, and finance.
