Data Lake Analytics Online Course
Join our virtual, live instructor-led session and master Data Lake Analytics Training from anywhere in the world.
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
Data Lake Foundations and Medallion Architecture
Optimizing Storage Formats and Partitioning Strategies
Distributed Processing with Apache Spark®
Implementing ACID Transactions with Delta Lake®
Data Ingestion Patterns and ELT Workflows
Data Governance and Fine-Grained Security
Advanced SQL Analytics and Query Engines
Data Quality and Observability Frameworks
Performance Tuning and Query Optimization
Machine Learning Integration and Feature Stores
Cloud FinOps and Cost Management
Strategic Integration and Reporting
Built for United Kingdom
From your market
Real tools and case studies from United Kingdom — taught against the configurations and outcomes you'll actually encounter.
Industry Tools and Platforms Featured in this Training
6-
Apache Spark Apache Software FoundationUsed for distributed processing of large datasets, batch and streaming transformations, and performance-tuned analytics workloads.
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Delta Lake DatabricksUsed to add transaction reliability, schema enforcement, and table management on top of data lake storage.
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Azure Data Lake Storage MicrosoftUsed to store structured, semi-structured, and unstructured data for scalable analytics on Microsoft cloud environments.
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Azure Databricks MicrosoftUsed to run Spark-based notebooks and production analytics pipelines in a managed cloud environment.
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Microsoft Fabric MicrosoftUsed to unify data engineering, analytics, and BI workflows around shared data lakehouse patterns.
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Power BI MicrosoftUsed to deliver dashboards and business-facing reporting from curated lake data.
Where this course runs
Data Lake Analytics Training is delivered in the cities below — pick the one that fits your schedule.























