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← Data Arena/Expert Production Architectures
EXPERT • PYSPARK & SQL

Expert Production Architectures

Master production data engineering patterns including multi-source feed consolidation, temporal validity window analytics, multi-stage revenue pipelines, CDC stream merging, IoT anomaly detection, and entity deduplication.

21Challenges
•
45 minPer Challenge
•
20–25 XPReward
•
420 XPTotal Points
•
ExpertTier
•
👑 Pro TierAccess

Curriculum Track

Advanced Production Pipelines

Course Progress0%
0 of 21 Solved⭐ 0 XP
○Data Distribution & Partitioning0/1
○Data Skew Analysis0/1
○Large Dataset Enrichment0/1
○CSV Data Ingestion & Transformation0/1
○JSON Data Ingestion & Multi-Tier Aggregation0/1
○Parquet Columnar Ingestion & Metric Aggregation0/1
○DataFrame Construction & Column Operations0/1
○Column Transformation & Schema Shaping0/1
○Multi-Stage Transformation & Conditional Tiering0/1
○Filtering & Deduplication0/1
○Ordering & Result Limiting0/1
○DataFrame Union & Consolidation0/1
○Aggregation & Grouping0/3
○DataFrame Joins & Data Enrichment0/1
○Multi-Key DataFrame Joins0/1
○Reconciliation & Unmatched Record Identification0/1
○Analytical Positioning & Top-N Selection0/1
○Cumulative Performance & Trend Analysis0/1
○Sequential State Analysis & Change Detection0/1
21 Challenges
210 Max XP
Difficulty:
Showing 21 of 21

CSV Data Ingestion & Transformation

PySpark challenge topic

1 Challenges20 XP
PY-104:Loading Structured Transaction Data•Advanced•20 XP•45 min•PySpark + SQL
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JSON Data Ingestion & Multi-Tier Aggregation

PySpark challenge topic

1 Challenges20 XP
PY-105:Building a Customer Summary from JSON Records•Advanced•20 XP•45 min•PySpark + SQL
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Parquet Columnar Ingestion & Metric Aggregation

PySpark challenge topic

1 Challenges20 XP
PY-106:Processing Event Data from a Columnar Source•Advanced•20 XP•45 min•PySpark + SQL
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Column Transformation & Schema Shaping

PySpark challenge topic

1 Challenges20 XP
PY-108:Preparing a Product Catalog for Analytics•Advanced•20 XP•45 min•PySpark + SQL
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Multi-Stage Transformation & Conditional Tiering

PySpark challenge topic

1 Challenges20 XP
PY-109:Multi-Stage Customer Revenue Preparation•Advanced•20 XP•15 min•PySpark + SQL
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DataFrame Joins & Data Enrichment

PySpark challenge topic

1 Challenges20 XP
PY-116:Customer Transaction Enrichment•Advanced•20 XP•45 min•PySpark + SQL
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Multi-Key DataFrame Joins

PySpark challenge topic

1 Challenges20 XP
PY-117:Product Order Enrichment•Advanced•20 XP•45 min•PySpark + SQL
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Reconciliation & Unmatched Record Identification

PySpark challenge topic

1 Challenges20 XP
PY-118:Preserving Unmatched Business Records•Advanced•20 XP•45 min•PySpark + SQL
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Analytical Positioning & Top-N Selection

PySpark challenge topic

1 Challenges20 XP
PY-119:Customer Purchase Ranking & Top-N Analysis•Advanced•20 XP•45 min•PySpark + SQL
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Cumulative Performance & Trend Analysis

PySpark challenge topic

1 Challenges20 XP
PY-120:Customer Revenue Trend & Running Performance•Advanced•20 XP•45 min•PySpark + SQL
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Sequential State Analysis & Change Detection

PySpark challenge topic

1 Challenges20 XP
PY-121:Customer Behavior Change Detection•Advanced•20 XP•45 min•PySpark + SQL
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