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 Chad
From your market
Real tools and case studies from Chad — 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, including ETL, SQL analytics, and batch or streaming transformations in data lake pipelines.
-
Delta Lake DatabricksUsed to add reliability features such as ACID transactions and schema enforcement to lake-based analytics workflows.
-
Microsoft Azure Databricks MicrosoftUsed for running Spark-based data engineering and analytics workloads in cloud environments with managed scaling.
-
Amazon EMR Amazon Web ServicesUsed when teams need managed big-data clusters for Spark-based processing and scalable analytics on cloud data lakes.
-
Google Cloud Dataproc Google CloudUsed for managed Spark and Hadoop-style analytics jobs when a cloud-native data platform is required.
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Power BI MicrosoftUsed to turn curated lake data into dashboards and self-service reporting for business users.
Where this course runs
Data Lake Analytics Training is delivered in the cities below — pick the one that fits your schedule.
