Data Discovery & Lineage Analysis

• Major Business Challenges
• Scale of Challenges
• EDC as a Solution
• EDC Metadata Lifecycle
• EDC Architecture
• EDC Key Features
• Walkthroughs

• EDC User Interface
• Semantic Search
• Searching in EDC
• Additional Search Options in EDC
• Explore Search Results
• Search Filters
• Search Prefilters
• Additional Search Options
• Certified Assets
• Rated Assets
• View Asset Details
• Types of Assets
• View Data Lineage
• View Relationships
• Data Profiling

Lab:

• Review Resources
• Perform Semantic Search
• Perform Wildcard Search
• Explore the assets

• Data Profiling
• Data Similarity
• Value Frequency
• Similar Columns
• Unique Keys
• Patterns & Inferred Data Types

Lab:

• View & Analyze Profiling Results
• Discover & Curate Unique Keys

• Data Domain Discovery
• Data domain creation & association
• Curation
• Search for Assets Through Data Domains
• Data domain inference
• Propagation of curated data domains
• Data Domain Groups
• Composite Data Domains

Lab: 

• Create & assign data domains
• Curate data domains
• Curate data domains using Export/Import

• Business Terms
• Business Titles
• Association of business terms
• Business Terms Inference & Curation
• Bulk curation of business terms
• Custom Attributes
• Types of Custom Attributes
• Extended Custom Attributes
• Exporting & Importing Custom Attributes

Lab: 

• Associate a business term
• Associate a business title
• Curate Business Terms
• Add multiple business terms

• Lineage & Impact
• Connected Business Terms
• Transformation Details
• Asset Lineage & Impact Summary View
• Exporting Lineage & Impact Summary

Lab:

• Explore Data Lineage & Impact View
• View Transformation Details

• Asset Relationship Overview
• Relationship View
• Relationship Diagram of Related Assets
• Customizing the View
• Type of Relationships
• Difference Between Lineage & Impact View, & Relationship View

Lab: 

• View the relationship between assets

• Follow an asset
• Get notifications
• View summary of changes

Lab: 

• Track changes made to a Resource
• Follow Assets
• Unfollow Assets

• Review & Rate Assets
• Certify & Decertify Assets
• Questions & Answers

Lab:

• Review & rate assets
• Certify an Asset
• Collaborate through Queries

• Supported resources
• Connecting to the database
• Preview data
• Provision data

• Filter panel
• Search result views
• Asset Overview
• Search Results
• Search Ranks
• Prefilters

Lab:

• Create a prefilter

• What is Data Segmentation?
• Business Case
• Dashboards
• Reports

Lab: 

• Analyze the DAA Dashboard
• Create a Report

A: In order to extract real-time insights from data, big data is processed in a quick way & this process is called big data streaming. The approach of big data streaming is speed-focused, wherein a continuous stream of data is processed.

A: Streaming is a technique used for transferring data so that it can be processed as a continuous & steady stream. Streaming technologies are becoming crucial with the growth of the internet.

A: In this training, you will learn how to prepare, maintain, enrich & process a stream of data in real-time using Informatica, Kafka, Spark & Edge.

A: Prime videos, Netflix, Hulu, and some video share websites like youtube and Twitch used for live video game streaming & Spotify & apple music are used for live streaming music are some of the examples of streaming.

A: Radiant has highly intensive selection criteria for Technology Trainers & Consultants who deliver training programs. Our trainers & consultants undergo rigorous technical & behavioral interviews & assessment processes before they are onboarded in the company.

Our Technology experts/trainers & consultants carry deep-dive knowledge in the technical subject & are certified by the OEM.

Our training programs are practically oriented with 70% – 80% hands-on training technology tools. Our training program focuses on one-on-one interaction with each participant, the latest content in the curriculum, real-time projects & case studies during the training program.

Our faculty will provide you the knowledge of each training from a fundamental level in an easy way & you are free to ask your doubts any time from your respective faculty.

Our trainers have the patience & ability to explain difficult concepts in a simplistic way with depth & width of knowledge.

To ensure quality learning, we provide support sessions even after the training program.

A: Radiant Techlearning offers a training program on weekdays, weekends & a combination of weekdays & weekends. You can always choose the schedule that best suits your need.

A: We would always recommend you attend the live session to practice & clarify the doubts instantly & get more value from your investment. However, if, due to some contingency, you have to skip the class, Radiant Techlearning will help you with the recorded session of that particular day. However, those recorded sessions are not meant only for personal consumption & NOT for distribution or any commercial use.

A: Radiant Techlearning has a data center containing the Virtual Training environment for the purpose of participant hand-on-practice. 

Participants can easily access these labs over Cloud with the help of a remote desktop connection. 

Radiant virtual labs provide you the flexibility to learn from anywhere in the world & in any time zone.