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 Eswatini
From your market
Real tools and case studies from Eswatini — taught against the configurations and outcomes you'll actually encounter.
Industry Tools and Platforms Featured in this Training
5-
Microsoft Azure Databricks MicrosoftUsed for scalable Spark-based processing, notebook development, and collaborative analytics workflows in cloud data lake environments.
-
Azure Data Lake Storage MicrosoftUsed as a centralized storage layer for structured, semi-structured, and unstructured data before transformation and analysis.
-
Apache Spark Apache Software FoundationUsed for distributed data processing, ETL/ELT pipelines, and fast analytics over large datasets.
-
Delta Lake DatabricksUsed to add reliability, ACID transactions, and schema enforcement to lakehouse-style data pipelines.
-
Microsoft Power BI MicrosoftUsed to build dashboards and consume curated lake outputs for business intelligence reporting.
Where this course runs
Data Lake Analytics Training is delivered in the cities below — pick the one that fits your schedule.
