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 →
DLA-01 Mon - Fri (10 Days) USD 1,700 Reserve my seat → Register my team →
Training Date
to
10 Days
USD 1,700
DLA-01
Training Date
to
10 Days
USD 1,700
DLA-01
Training Date
to
8 Weeks
USD 1,700
DLA-01
Training Date
to
10 Days
USD 1,700
DLA-01
Training Date
to
10 Days
USD 1,700
DLA-01
Training Date
to
8 Weeks
USD 1,700
DLA-01
Training Date
to
10 Days
USD 1,700
DLA-01

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 United States

From your market

Real tools and case studies from United States — taught against the configurations and outcomes you'll actually encounter.

Industry Tools and Platforms Featured in this Training

5
  • Apache Spark Apache Software Foundation
    Used for distributed processing of large data sets, batch transformations, and scalable analytics pipelines.
  • Delta Lake Databricks
    Used to add reliability, ACID transactions, and schema enforcement to lakehouse-style data pipelines.
  • Azure Data Lake Storage Microsoft
    Used as scalable cloud storage for raw and curated data in analytics environments.
  • Azure Databricks Databricks
    Used for notebook-based data engineering, Spark workloads, and collaborative analytics development.
  • Microsoft Fabric Microsoft
    Used to unify data engineering, warehousing, and analytics workflows in a cloud environment.

Real Results from Real Professionals

Thousands of professionals have transformed their careers through our training programs. Now, it's your turn.

Trusted by 100+ organizations across 40+ countries

Premier Bank
Amnesty International
UNDT SACCO
UNFPA
USAID
AMREF Health Africa
KENTRADE
CPF
UFIA
UNICEF
Central Bank of Kenya
UNDP
GIZ
Premier Bank
Amnesty International
UNDT SACCO
UNFPA
USAID
AMREF Health Africa
KENTRADE
CPF
UFIA
UNICEF
Central Bank of Kenya
UNDP
GIZ
Barbours
Bank of Rwanda
RFA
Dahabshil Bank
Dorcas Aid
Finn Church Aid
KCB Foundation
Ministry of Education Saudi Arabia
NSSF Uganda
RBA
Reserve Bank of Malawi
WASREB Kenya
Virginia Commonwealth University
Barbours
Bank of Rwanda
RFA
Dahabshil Bank
Dorcas Aid
Finn Church Aid
KCB Foundation
Ministry of Education Saudi Arabia
NSSF Uganda
RBA
Reserve Bank of Malawi
WASREB Kenya
Virginia Commonwealth University