Corporate DataLake Training Course

Name: DataLake Training
Availability: InStock

Edstellar's DataLake instructor-led training course equips employees with the skills to design, build, and manage data lakes. Teams will learn to handle data ingestion, cataloging, processing, and analytics using AWS services. Upskill your teams to master efficient data storage, security, and scalable data lake architectures.

Duration

24 - 32 hrs

Delivery Type

Instructor-led Group Training
(Virtual / On-site / Off-site)

Training Available in

10 Languages

Multiple Locations

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About Learning Outcomes Key Benefits Course Outline Target Audience Training Modes Certificate Trainers Request a Training Quote

Drive Team Excellence with DataLake Corporate Training

DataLake is a centralized repository for storing vast amounts of structured and unstructured data, enabling efficient analysis and processing. It helps organizations manage large volumes of diverse data and facilitates advanced analytics. Implementation involves integrating data from various sources and ensuring proper data governance. DataLake training course enables organizations to fully leverage their data assets, enhance data-driven decision-making, and maintain a competitive edge in the market.

DataLake instructor-led training course provided by Edstellar can be customized to meet team requirements. The virtual/onsite DataLake training course led by expert trainers ensures that employees are well-versed in designing, implementing, and managing data lakes effectively.

Get Customized Expert-led Training for Your Teams

Customized Training Delivery

Scale Your Training: Small to Large Teams

In-person Onsite, Live Virtual or Hybrid Training Modes

Plan from 2000+ Industry-ready Training Programs

Experience Hands-On Learning from Industry Experts

Delivery Capability Across 100+ Countries & 10+ Languages

Skills Your Employees Will Gain

These are the core, hands-on capabilities your team builds during the program.

Data Integration
Data Integration is the process of combining data from different sources into a unified view. this skill is important for roles like data analysts and engineers, as it enables informed decision-making and enhances data accuracy.
Ingestion Strategy
Ingestion Strategy involves the systematic collection and processing of data from various sources. this skill is important for data analysts and engineers to ensure efficient data flow and integrity.
Lake Architecture
Lake Architecture is the design and planning of lakeside structures and environments. this skill is important for architects and urban planners to create sustainable, aesthetically pleasing waterfronts.
Data Governance
Data Governance is the management of data availability, usability, integrity, and security. This skill is important for roles in data management, compliance, and analytics, ensuring data quality and regulatory adherence.
Metadata Management
Metadata Management is the process of organizing, maintaining, and utilizing data about data. This skill is important for data analysts and information architects to ensure data accuracy, accessibility, and compliance.
Storage Management
Storage Management involves overseeing data storage systems to ensure efficient data retrieval, security, and capacity planning. This skill is important for IT roles, as it optimizes resources and enhances data accessibility.

What Your Team Will Achieve After This Training

Automate data lake creation and management using blueprints and workflows in AWS Lake Formation
Secure the data lake using access control and permission management features of AWS Lake Formation
Apply data processing techniques using ETL (Extract, Transform, Load) within a data lake using AWS Glue
Analyze the benefits and drawbacks of data lakes compared to data warehouses for data storage and analysis
Implement data formatting, partitioning, and compression techniques to optimize data storage and querying within the data lake

Topics & Program Outline

The curriculum is organized into focused modules built by industry experts and delivered virtually or on-premise. Interactive sessions reflect the evolving demands of the workplace, keeping the learning both relevant and practical.

Introduction to Data Lakes

Describe the value of data lakes

Benefits of data lakes for data storage and analysis
Industry applications

Compare data lakes and data warehouses

Key differences and similarities
Advantages and disadvantages of each approach

Describe the components of a data lake

Data ingestion
Storage
Data cataloging
Data processing and analytics

Recognize common architectures built on data lakes

Lambda architecture
Kappa architecture
Data lakehouse architecture

Data Ingestion, Cataloging, and Preparation

Describe the relationship between data lake storage and data ingestion
- Data sources and ingestion methods
- Streaming and batch ingestion
Describe AWS Glue crawlers and how they are used to create a data catalog
- Overview of AWS Glue crawlers
- Creating and managing a data catalog
Identify data formatting, partitioning, and compression for efficient storage and query
- Common data formats (e.g., JSON, Parquet, ORC)
- Partitioning strategies
- Compression techniques

Data Processing and Analytics

Recognize how data processing applies to a data lake
- ETL (Extract, Transform, Load) processes
- Data transformation techniques
Use AWS Glue to process data within a data lake
- Creating and running ETL jobs with AWS Glue
- Data cleaning and transformation with AWS Glue
Describe how to use Amazon Athena to analyze data in a data lake
- Setting up and querying with Amazon Athena

Building a Data Lake with AWS Lake Formation

Describe the features and benefits of AWS Lake Formation
- Overview of AWS Lake Formation
- Key features and benefits
Use AWS Lake Formation to create a data lake
- Setting up AWS Lake Formation
- Creating and configuring a data lake
Understand the AWS Lake Formation security model
- Security features Access control and permissions

Additional Lake Formation Configurations

Automate AWS Lake Formation using blueprints and workflows
- Creating and managing blueprints
- Workflow automation
Apply security and access controls to AWS Lake Formation
- Implementing fine-grained access control
- Managing user roles and permissions
Match records with AWS Lake Formation FindMatches
- Overview of FindMatches
- Matching and deduplication techniques
Visualize data with Amazon QuickSight
- Setting up Amazon QuickSight
- Creating dashboards and reports

Architecture

Architecture review
- Reviewing different data lake architectures
- Designing scalable and efficient data lakes

Who Should Attend?

This program suits professionals at many levels across the organization, including:

Data Engineers
Cloud Architects
Data Architects
Big Data Engineers
Database Administrators
Data Scientists
Data Integration Specialists
Data Analysts
Solution Architects
IT Managers
System Administrators
Enterprise Architects

What are the Prerequisites?

Employees with a basic understanding of cloud computing, familiarity with AWS, understanding of data storage and processing, experience with databases, SQL proficiency, and a general grasp of data warehousing concepts can take up the DataLake training course.

Request a Quote for your Corporate Training Requirements

Delivering Training for Organizations across 100 Countries and 10+ Languages

Choose the Format That Fits Your Team

We design training your teams actually engage with, and deliver it the way that suits you best. Through a vetted global trainer network, Edstellar runs sessions in 10+ languages with consistent quality anywhere.

Virtual / online: expert-led live sessions delivered anywhere, with consistency and easy scheduling.

We deliver anywhere worldwide

Standardized content for consistent outcomes

Join from own workspace, no travel

We scale to large groups across sites

Interactive tools keep remote learners engaged

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On-site (in-house): immersive, instructor-led learning at your office.

Our trainers run face-to-face at your office

We tailor setup/content to your workplace and tools

Group exercises drive collaboration

Live demos + hands-on practice

Direct trainer access to clarify doubts

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Off-site: focused, instructor-led group learning away from everyday workplace distractions.

We host your teams at a venue of your preferred choice

Built-in group activities for bonding

Full uninterrupted schedule for focus/retention

Boosts morale and signals commitment

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What Sets Edstellar Apart

Experienced Trainers

Our trainers are drawn from a vetted global network and bring years of industry expertise, keeping every session practical and impactful.

Proven Quality

With a strong global track record, Edstellar is known for quality and engaging delivery.

Industry-Relevant Curriculum

Our programs are built by experts to match the demands of today's industry.

Fully Customizable

Every program can be tailored to your organization's goals.

Comprehensive Support

We provide pre- and post-session support for a complete learning experience.

Global Multi-Location & Multilingual Training Delivery

We deliver in multiple languages to support diverse global teams.

Hear from Organizations We've Trained

"The DataLake training exceeded my expectations in every way. As a Lead AI Engineer, I gained comprehensive knowledge of strategic frameworks that transformed my approach to technical mastery. The hands-on practical and immediately applicable. I've successfully implemented these advanced techniques in production environments with measurable impact. The instructor's expertise in hands-on exercises made complex concepts crystal clear and actionable.”

Joe Sanders

Lead AI Engineer,

IT Services and Solutions Provider

"This DataLake course transformed my approach to strategic implementation solutions. The comprehensive modules on practical simulations were invaluable for our professional services projects. I can now confidently implement advanced for diverse client requirements. The deep coverage of expert-led workshops gave me advanced skills I immediately applied to Client engagement and retention metrics have improved significantly across our practice.”

Yang Bai

Lead Data Warehouse Engineer,

Technology Consulting Services Company

"As a Principal ETL Developer overseeing professional expertise initiatives, the DataLake training significantly elevated our team's capabilities. The course expertly covered practical applications, interactive labs, and our operational effectiveness. We've successfully deployed these methodologies across all regional operations centers. Our department has achieved remarkable improvements, demonstrating this course's lasting organizational impact.”

Nasser Hussein

Principal ETL Developer,

Enterprise Software Development Firm

“Edstellar’s IT & Technical training programs have been instrumental in strengthening our engineering teams and building future-ready capabilities. The hands-on approach, practical cloud scenarios, and expert guidance helped our teams improve technical depth, problem-solving skills, and execution across multiple projects. We’re excited to extend more of these impactful programs to other business units.”

Aditi Rao

L&D Head,

A Global Technology Company

Recognition That Motivates Your Team

Upon successful completion of the training course offered by Edstellar, employees receive a course completion certificate, symbolizing their dedication to ongoing learning and professional development.

This certificate validates the employee's acquired skills and is a powerful motivator, inspiring them to enhance their expertise further and contribute effectively to organizational success.

We have Expert Trainers to Meet Your DataLake Training Needs

The instructor-led training is conducted by certified trainers with extensive expertise in the field. Participants will benefit from the instructor's vast knowledge, gaining valuable insights and practical skills essential for success in Access practices.

Venkata

Bengaluru, India

Trainer since

November 1, 2013

Venkatesh

Hyderabad, India

Trainer since

November 1, 2015

Corporate DataLake Training Course

Drive Team Excellence with DataLake Corporate Training

Skills Your Employees Will Gain

What Your Team Will Achieve After This Training

Topics & Program Outline

Introduction to Data Lakes

Data Ingestion, Cataloging, and Preparation

Data Processing and Analytics

Building a Data Lake with AWS Lake Formation

Additional Lake Formation Configurations

Architecture

Who Should Attend?

What are the Prerequisites?

Choose the Format That Fits Your Team

Get a Proposal Shaped to Your Needs

What Sets Edstellar Apart

Experienced Trainers

Proven Quality

Industry-Relevant Curriculum

Fully Customizable

Comprehensive Support

Global Multi-Location & Multilingual Training Delivery

Hear from Organizations We've Trained

Recognition That Motivates Your Team

We have Expert Trainers to Meet Your DataLake Training Needs

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