Virtual Training
Data Science, AI, and Advanced Analytics
Data Lake Analytics Online Course
Join our virtual, live instructor-led session and master Data Lake Analytics Training from anywhere in the world.
10 Days
Duration
Live Online
Delivery
7 Dates
Available
Certificate
Included
Master Data Lake Analytics to build scalable architectures, optimize distributed processing, and deliver high-performance enterprise insights through advanced Medallion frameworks and cloud-native tools.
Upcoming Virtual Training Schedules
Join from anywhere in the world with our live instructor-led sessions
| Code | Start Date | End Date | Duration | Fee | |
|---|---|---|---|---|---|
| DLA-01 | Mon - Fri (10 Days) | USD 1,700 | Reserve my seat → Register my team → | ||
| DLA-01 | Mon - Fri (10 Days) | USD 1,700 | Reserve my seat → Register my team → | ||
| DLA-01 | Weekend (8 Weeks) | USD 1,700 | Reserve my seat → Register my team → | ||
| DLA-01 | Mon - Fri (10 Days) | USD 1,700 | Reserve my seat → Register my team → | ||
| DLA-01 | Mon - Fri (10 Days) | USD 1,700 | Reserve my seat → Register my team → | ||
| DLA-01 | Weekend (8 Weeks) | USD 1,700 | Reserve my seat → Register my team → |
Here's What You'll Learn
Each module tackles real challenges you face in your role
1
Data Lake Foundations and Medallion Architecture
2
Optimizing Storage Formats and Partitioning Strategies
3
Distributed Processing with Apache Spark®
4
Implementing ACID Transactions with Delta Lake®
5
Data Ingestion Patterns and ELT Workflows
6
Data Governance and Fine-Grained Security
7
Advanced SQL Analytics and Query Engines
8
Data Quality and Observability Frameworks
9
Performance Tuning and Query Optimization
10
Machine Learning Integration and Feature Stores
11
Cloud FinOps and Cost Management
12
Strategic Integration and Reporting
Built for Taiwan, Province of China
From your market
Real tools and case studies from Taiwan, Province of China — taught against the configurations and outcomes you'll actually encounter.
Industry Tools and Platforms Featured in this Training
4-
Microsoft Azure Data Lake Storage MicrosoftCommonly used to store large volumes of structured, semi-structured, and unstructured data for downstream analytics and machine learning workflows.
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Azure Data Lake Analytics MicrosoftUsed for on-demand distributed processing and SQL-like analytics over data stored in a data lake.
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Azure Databricks MicrosoftUsed for Spark-based data engineering, notebook-driven analytics, and large-scale transformation pipelines.
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Microsoft Purview MicrosoftUsed for data cataloging, lineage, governance, and access oversight across lakehouse-style environments.
Where this course runs
Data Lake Analytics Training is delivered in the cities below — pick the one that fits your schedule.
