Denodo Associate study plan
Denodo Associate · Give each week a clear focus.
8 weeks · About 6 hours per week
Data Virtualization and Logical Data Management Fundamentals
Define data virtualization in your own words and contrast it with ETL consolidation and physical data warehousing on cost, latency, and freshness
Map the logical data management layer model (sources, virtual views, derived views, consumption layer) and label where governance controls sit
Distinguish base views from derived views, and explain view composition and schema propagation with a hand-drawn example
List the trade-offs of virtualization versus replication for a reporting use case and state when each wins
Your checkpoint
A two-page concept map plus a 300-word written comparison of virtualization, ETL, and replication, self-graded against the domain-1 objectives
Data Virtualization and Logical Data Management Fundamentals & Denodo Platform Architecture and Components
Explain how a client query travels through the Denodo Virtual DataPort server, optimizer, and source adapters
Identify the roles of the main platform components (Virtual DataPort, Scheduler, Data Catalog, Solution Manager, and the embedded metadata database) and what each stores or executes
Describe the metadata model: databases, folders, views, associations, and how dependencies between views are resolved at query time
Sketch a single-node versus distributed deployment and note where the cluster manager and load balancer fit
Your checkpoint
One architecture diagram of the Denodo Platform with every major component labeled and a one-line responsibility for each, plus a 5-question self-quiz you answer without notes
Denodo Platform Architecture and Components & Data Sources, Connections and Views
Create JDBC, ODBC, and file-based data sources against a local database and a CSV directory, capturing connection-pool and credential settings
Build base views over relational, delimited-text, and JSON sources and verify introspection results and column typing
Configure primary keys, join relationships, and view metadata so the optimizer can reason about the model
Diagnose two deliberately broken connections (wrong port, insufficient privileges) and record the error signatures
Your checkpoint
A working Virtual DataPort database with at least five base views across three source types, exported as a VQL script that recreates the setup from scratch
Data Sources, Connections and Views
Compose derived views using joins, unions, and aggregation, and confirm the generated execution plan pushes work to sources where possible
Apply selection, projection, and join pushdown rules and identify the cases where a source cannot receive the operation
Model a slowly changing dimension or a flattening view and document the freshness and key assumptions
Review view dependency graphs and explain how a change to a base view propagates to dependent derived views
Your checkpoint
A five-view derived layer (at least one join, one union, one aggregate) with a written execution-plan review showing which operations were pushed down and which were not
Query Optimization and Caching
Read a query execution trace and identify the costliest operator, distinguishing source time from server time
Apply the main optimization levers (pushdown hints, join reordering, statistics, delegation of functions) and measure the effect on a slow query
Configure a cache with a validity period and a refresh policy, then demonstrate a cache hit and a cache miss in the trace
Explain partial and full caching modes and choose the right mode for a dashboard versus an ad hoc analysis workload
Your checkpoint
A before-and-after optimization report for one slow query with trace excerpts, the changes applied, and measured latency improvement, plus a cache configuration rationale
Security, Governance and Data Sovereignty
Create users, roles, and a role hierarchy, then grant privileges at database, view, and column level
Apply row-level and column-level security using a policy that filters results by an authenticated user attribute
Configure authentication against an external directory and explain how single sign-on and pass-through credentials differ
Describe data sovereignty controls (masking, encryption in transit, audit logging) and map each to a compliance requirement
Your checkpoint
A security configuration document with the role matrix, one row-filter policy, one masked column, and evidence from a test login showing the restrictions applied
Security, Governance and Data Sovereignty & Data Delivery, Marketplace and Self-Service
Publish a curated set of views to a data marketplace catalog with descriptions, tags, and ownership metadata
Define a data delivery interface (REST or OData) over a view and test it from a client outside the platform
Set up a scheduled export or snapshot job and explain when delivery by replication beats live query
Write governance metadata that lets a self-service consumer find and trust a dataset without contacting the author
Your checkpoint
A published catalog entry with a working REST endpoint, a scheduled delivery job, and a one-page consumer guide for a self-service analyst
Data Virtualization and Logical Data Management Fundamentals & Denodo Platform Architecture and Components & Data Sources, Connections and Views & Query Optimization and Caching & Security, Governance and Data Sovereignty & Data Delivery, Marketplace and Self-Service
Re-derive the architecture and logical-model fundamentals from memory and correct gaps against your week 1-2 notes
Retake every self-quiz and rewrite any explanation that was vague or wrong on the first pass
Walk through an end-to-end scenario (source to view to optimization to security to delivery) and narrate each decision
Identify your two weakest domains by scored self-assessment and drill those with targeted practice
Your checkpoint
A full timed practice run scored by domain, with a remediation list naming the two weakest areas and the exact resources you will revisit before exam day
Milestones
Week 2: You can draw the Denodo architecture and explain the query path and component roles without notes, scoring at least 4 of 5 on your own quiz
Week 4: Your exported VQL script rebuilds five base views and five derived views on a clean instance, and you can explain pushdown decisions for each derived view
Week 6: A test user with a restricted role sees filtered rows and masked columns while an admin sees full data, with both results captured as evidence
Week 8: Timed practice run completed with per-domain scores recorded and a written remediation plan for the two weakest domains