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Nikolai Schuler

Blueprint to Data Lake Mastery: Unleash the Power of Cloud Data Engineering

Are you ready to dive into the world of Data Lakes and transform your skills in Cloud Data Engineering?

Read more

Blueprint to Data Lake Mastery: Unleash the Power of Cloud Data Engineering

Are you ready to dive into the world of Data Lakes and transform your skills in Cloud Data Engineering?

This skill is a game-changer in data engineering and you're making a wise move by diving into it.

This is the only course you need to master architecting and implementing a full-blown state-of-the art data lake.

This comprehensive course offers you the ultimate journey from basic concepts to mastering sophisticated data lake architectures and strategies.

Why Choose This Course?

  • Complete Data Lake Guide: From setting up AWS accounts to mastering workflow orchestration, this course covers every angle of Data Lakes.

  • Step-by-Step Master: Whether you're starting from scratch or looking to deepen your expertise, this course offers a structured, step-by-step journey from beginner basics to advanced mastery in Data Lake engineering.

  • State-of-the-Art Expertise: Stay on the cutting edge of Data Lake technologies and best practices, with a focus on the most recent tools and methods.

  • Practical & Hands-On: Engage with real-life scenarios and hands-on AWS tasks to solidify your understanding.

  • Holistic Understanding: Beyond practical skills, gain a comprehensive understanding of all critical concepts, theories, and best practices in Data Lakes, ensuring you not only know the 'how' but also the 'why' behind each aspect.

What Will You Learn?

Throughout this course, we will learn all the relevant concepts and implement everything within AWS, the most widely utilized cloud platform, ensuring practical, hands-on experience with the industry standard.

However, the knowledge and skills you acquire are designed to be universally applicable, equipping you with the expertise to operate confidently across any cloud environment.

  • Foundational Concepts: Understand what Data Lakes are, their benefits, and how they differ from traditional data warehouses.

  • Architecture Mastery: Dive deep into Data Lake architecture, understanding different zones, tools, and data formats.

  • Data Ingestion Techniques: Master various data ingestion methods, including batch and event-driven ingestion, and learn to use AWS Glue and Kinesis.

  • Storage Management: Explore key concepts of data storage management in Data Lakes, such as partitioning, lifecycle management, and versioning.

  • Processing and Transformation: Learn about Hadoop, Spark, and how to optimize data processing and transformation in Data Lakes.

  • Workflow Orchestration: Understand how to automate data workflows in a Data Lake environment, using retail data scenarios for practical insights.

  • Advanced Analytics: Unlock the power of analytics in Data Lakes with tools like Power BI, QuickSight, and Jupyter Notebooks.

  • Monitoring and Security: Learn the essentials of monitoring Data Lakes and implementing robust security measures.

Who Is This Course For?

Whether you're ...

  • a beginner aspiring to become a data engineer / data architect or

  • an experienced professional seeking to specialize in Data Lakes gaining incredibly valuable skills,

  • or just want to learn some of the most valuable skills 

... this is the right course for you.

Your Path to Becoming a Data Lake Expert:

This course is tailored for aspiring data engineers, IT professionals, and anyone keen on mastering Data Lakes. You will emerge with the confidence and skills to design, implement, and manage Data Lakes, elevating your professional standing in the world of cloud data engineering.

Enrollment Benefits:

  • Complete Guide: From basic concepts to advanced strategies, this course is your one-stop-shop for Data Lake expertise.

  • Real-World Skills: Equip yourself with practical skills that are immediately applicable in professional settings.

  • Lifetime Access: Join and gain lifetime access to course all materials.

  • Community and Support: Join a community of learners and receive dedicated support throughout your learning journey.

Enroll Today.

Join now and gain an almost unfair advantage in the realm of Cloud Data Engineering with Data Lakes. This course is your shortcut to becoming a Data Lake expert, offering you the blueprint to success in this rapidly evolving field.

Get instant and lifetime access – backed by a no-questions-asked 30-day money-back guarantee. See you inside the course.

Enroll now

What's inside

Learning objectives

  • Master the complete implementation of full-scale data lake solutions in the cloud
  • Apply data lake concepts professionally in cloud data engineering
  • Create a multi-layered security strategy for data lake protection
  • Design & implement efficient data ingestion strategies in aws
  • Master data lake architecture for effective cloud implementations
  • Master data lake governance & security
  • Master leadership & strategy essentials for successful data lakes
  • Learn comprehensive access control strategies within data lakes
  • Understand and implement robust monitoring and security in data lakes
  • Enhance your career prospects with advanced data lake skills and knowledge

Syllabus

Introduction
Welcome!
About This Course
All slides & files
Read more
What is a Data Lake?
Benefits of a Data Lake
Understanding Data Lakes: Benefits and Challenges
Key Terms & Concepts
Designing a Data Lake: Architecture and Components
Data Lake vs. Data Warehouse vs. Lakehouse
Comparing Data Lakes, Warehouses, and Lakehouses
Understanding the different Tiers in AWS
AWS Account Setup
Setting a budget
Creating S3 buckets
Initial Setup for Retail Insights Inc.'s Data Lake
Data Lake Architecture & Components
Essential Elements of a Data Lake
High Level Overview of Data Flow
Understanding Data Lake Architecture and Workflow
Different Zones in Data Lake
Designing Data Lake Zones
Tools for the different zones
Data Formats used In a Data Lake
Data Formats in Data Lakes
Data Ingestion
Data Ingestion Methods
Basics of Batch Ingestion
Understanding Batch Ingestion in Data Lakes
Data Catalog & Profiling
Project Scenario
Note: Cost of running Glue Jobs
Hands-on: Data Catalog & Crawlers
Batch Ingestion with AWS Glue
Implementing Data Ingestion into the Raw Zone
Ingestion Patterns
Event-Driven Ingestion
Event-Driven Ingestion with AWS Lambda
Data Profiling
In-Place Querying
Athena In-Place Querying
Data Cataloging with Crawlers and Querying in Athena
Understand Data Streaming
AWS Kinesis Streaming
Monitoring and Troubleshooting
Hands-on: Monitoring & Troubleshooting
Data Storage Management
Key Concepts for Data Storage Management
Environment Overview
Partitioning
Folder Structure
Data Storage Management in Data Lakes
Automatic Partition Creation
Manually Updating the Data Catalog
Schema Changes
Data Lifecycle Management
Hands-on: Storage Classes
Hands-on: Lifecycle Rules
Intelligent Tiering
Strategic Storage Optimization for Retail Insights Inc.'s Data Lake
Versioning in Data Lakes
Hands-on: Versioning in S3
Replication
Cross-Region Replication
Backups & Recovery
Hands-on: Backup & Recover
Hands-on: Backup Plan
Processing and Transformation
Understanding Data Processing in Data Lakes
Hadoop
Spark
Data Integration with AWS Glue
Hands-on: Data Transformations
Incremental Loads
Processing a Stream
Incremental Loading
Cost optimization in Data Lakes
Workflow Orchestration
Understand Workflow Orchestration
Scenario Automating Retailer Data Lake
Creating the individual tasks
Create Workflow Logic
Setting up Event Trigger
Conditional Logic
Analytics in a Data Lake
Understanding Analytics in a Data Lake
Data Exploration & adhoc Queries
Connecting BI Tool (Power BI)
Business Analytics with QuickSight
Creating Jupyter Notebooks
Data Exploration using Notebooks
Connecting Retail Insights Inc.'s Data Lake to Power BI

Good to know

Know what's good
, what to watch for
, and possible dealbreakers
Examines data lake architectures and components, which is highly relevant to data engineering in the cloud
Develops essential data storage management techniques, which are core skills for data lakes
Teaches advanced analytics techniques using industry tools like Power BI and QuickSight, which can help learners enhance their data analysis skills
Covers topics like workflow orchestration and monitoring, which are highly valued skills in data engineering roles
May require experience in cloud computing and data engineering concepts to fully engage with the material

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Reviews summary

Engaging data lake mastery course

Learners say this popular data lake course provides easy-to-understand lectures and examples for beginners. Sal's experience as an educator shines through her engaging and well-structured teaching, covering all aspects of tarot in bite-sized segments. Students appreciate Sal's personal touch and intuitive approach, which helps them connect with the material on a deeper level.
Well-structured, easy-to-follow content.
"Well-structured."
"Sal Jade teaches every aspect of the deck, leaving nothing out"
"perfect match for me and best decission I have made"
Instructor has deep knowledge and experience.
"profound knowledge."
"Sal's background as a teacher really shows."
"incredible amount of knowledge."
Engaging, easy to follow lessons.
"very interesting, easy to follow, easy to understand."
"I like the way the course is set up."
"she can teach well."
Great for beginners.
"It was great course for beginners."
"Easy to understand for beginners."
"it is absolutely great! I am a total beginner"

Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in Data Lake Mastery: The Key to Big Data & Data Engineering with these activities:
Cloud Data Engineering Mentorship
Facilitates personalized guidance and support from experienced professionals, accelerating learning and skill development.
Show steps
  • Attend networking events
  • Reach out to potential mentors
  • Establish a mentoring relationship
Review Hadoop Fundamentals
Reinforces understanding of the fundamental concepts of Hadoop, ensuring a solid foundation for advanced data lake concepts.
Browse courses on Hadoop
Show steps
  • Review Hadoop architecture and components
  • Explore the Hadoop Distributed File System (HDFS)
  • Understand MapReduce programming model
Data Lake Architecture Design Exercise
Provides hands-on experience in designing a data lake architecture, fostering a deeper understanding of the concepts discussed in the course.
Show steps
  • Define the data sources and ingestion methods
  • Determine the storage formats and partitioning strategy
  • Design the data processing and transformation pipelines
Four other activities
Expand to see all activities and additional details
Show all seven activities
Data Lake Implementation Discussion Group
Establishes a collaborative environment for discussing challenges, sharing solutions, and learning from peers.
Show steps
  • Join the discussion group
  • Participate in weekly meetings
  • Collaborate on projects
Data Lake Resources Compilation
Fosters knowledge organization and retrieval by compiling relevant resources such as articles, tutorials, and tools.
Show steps
  • Gather resources related to data lakes
  • Organize and categorize the resources
  • Share the compilation with peers
Cloud Data Engineering Workshop
Offers a practical setting to apply the concepts covered in the course, under the guidance of experienced practitioners.
Show steps
  • Attend presentations on cloud data engineering best practices
  • Participate in hands-on exercises and simulations
  • Network with industry professionals
Data Lake Design Challenge
Provides a competitive platform to showcase skills and knowledge, encouraging students to push their limits.
Show steps
  • Register for the challenge
  • Design and implement a data lake solution
  • Submit the project for evaluation

Career center

Learners who complete Data Lake Mastery: The Key to Big Data & Data Engineering will develop knowledge and skills that may be useful to these careers:
Data Engineer
Data Engineers are responsible for building and maintaining the data infrastructure that supports an organization's data needs. This course will help you develop the skills you need to become a successful Data Engineer. You will learn about the different types of data lakes, how to choose the right data lake for your needs, and how to implement a data lake using AWS. You will also learn how to manage and secure your data lake, and how to use data lake analytics to gain insights from your data.
Data Architect
Data Architects are responsible for leading the design and implementation of a company's data architecture. This course will help you develop the skills you need to design and implement a sound data architecture for your organization. You will learn about the different types of data lakes, how to choose the right data lake for your needs, and how to implement a data lake using AWS. This course will also teach you how to manage and secure your data lake, and how to use data lake analytics to gain insights from your data.
Cloud Architect
Cloud Architects are responsible for designing and implementing cloud computing solutions for their organizations. This course will help you develop the skills you need to become a successful Cloud Architect. You will learn about the different types of cloud computing services, how to choose the right cloud computing provider for your needs, and how to design and implement a cloud computing solution using AWS. You will also learn about the different security and compliance considerations associated with cloud computing.
Data Scientist
Data Scientists are responsible for using data to solve business problems. This course will help you develop the skills you need to become a successful Data Scientist. You will learn about the different types of data science tools and techniques, how to use data science to solve business problems, and how to communicate your findings to business stakeholders. This course will also teach you how to use data lake analytics to gain insights from your data.
Business Analyst
Business Analysts are responsible for analyzing business problems and recommending solutions. This course will help you develop the skills you need to become a successful Business Analyst. You will learn about the different types of business analysis tools and techniques, how to analyze business problems, and how to recommend solutions to business stakeholders. This course will also teach you how to use data lake analytics to gain insights from your data.
Data Analytics Manager
Data Analytics Managers are responsible for overseeing the data analytics function within their organizations. This course will help you develop the skills you need to become a successful Data Analytics Manager. You will learn about the different types of data analytics tools and techniques, how to manage a data analytics team, and how to communicate your findings to business stakeholders. This course will also teach you how to use data lake analytics to gain insights from your data.
Database Administrator
Database Administrators are responsible for managing and maintaining databases. This course will help you develop the skills you need to become a successful Database Administrator. You will learn about the different types of databases, how to manage and maintain databases, and how to secure databases. This course will also teach you how to use data lake analytics to gain insights from your data.
Software Engineer
Software Engineers are responsible for designing, developing, and maintaining software applications. This course will help you develop the skills you need to become a successful Software Engineer. You will learn about the different types of software engineering tools and techniques, how to design and develop software applications, and how to test and debug software applications. This course will also teach you how to use data lake analytics to gain insights from your data.
Data Warehouse Architect
Data Warehouse Architects are responsible for designing and implementing data warehouses. This course will help you develop the skills you need to become a successful Data Warehouse Architect. You will learn about the different types of data warehouses, how to design and implement data warehouses, and how to manage and secure data warehouses. This course will also teach you how to use data lake analytics to gain insights from your data.
Data Governance Analyst
Data Governance Analysts are responsible for developing and implementing data governance policies and procedures. This course will help you develop the skills you need to become a successful Data Governance Analyst. You will learn about the different types of data governance policies and procedures, how to develop and implement data governance policies and procedures, and how to enforce data governance policies and procedures. This course will also teach you how to use data lake analytics to gain insights from your data.
Information Architect
Information Architects are responsible for designing and implementing information systems. This course will help you develop the skills you need to become a successful Information Architect. You will learn about the different types of information systems, how to design and implement information systems, and how to manage and secure information systems. This course will also teach you how to use data lake analytics to gain insights from your data.
Data Integration Specialist
Data Integration Specialists are responsible for integrating data from multiple sources into a single, unified data store. This course will help you develop the skills you need to become a successful Data Integration Specialist. You will learn about the different types of data integration tools and techniques, how to integrate data from multiple sources, and how to manage and secure integrated data. This course will also teach you how to use data lake analytics to gain insights from your data.
Data Quality Analyst
Data Quality Analysts are responsible for ensuring the quality of data. This course will help you develop the skills you need to become a successful Data Quality Analyst. You will learn about the different types of data quality issues, how to identify and fix data quality issues, and how to implement data quality controls. This course will also teach you how to use data lake analytics to gain insights from your data.
Project Manager
Project Managers are responsible for planning, executing, and closing projects. This course will help you develop the skills you need to become a successful Project Manager. You will learn about the different phases of a project, how to plan and execute a project, and how to close a project. This course will also teach you how to use data lake analytics to gain insights from your data.
Business Intelligence Analyst
Business Intelligence Analysts are responsible for analyzing data and providing insights to business stakeholders. This course will help you develop the skills you need to become a successful Business Intelligence Analyst. You will learn about the different types of business intelligence tools and techniques, how to analyze data, and how to communicate your findings to business stakeholders. This course will also teach you how to use data lake analytics to gain insights from your data.

Reading list

We've selected ten books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in Data Lake Mastery: The Key to Big Data & Data Engineering.
Is an excellent reference for the basic concepts of Spark, which is another key tool used in data lake environments.
Provides a comprehensive overview of cloud computing, including principles, systems, and applications.
Provides a comprehensive overview of data science for business, covering everything from the basics to advanced topics. It valuable resource for anyone who wants to learn more about data science and how to use it to make better decisions.
Comprehensive guide to data mining, covering everything from the basics to advanced topics. It valuable resource for anyone who wants to learn more about data mining and how to use it to gain insights from data.
Provides a comprehensive overview of deep learning, covering everything from the basics to advanced topics. It valuable resource for anyone who wants to learn more about deep learning and how to use it to build intelligent systems.
Provides a comprehensive overview of machine learning, covering everything from the basics to advanced topics. It valuable resource for anyone who wants to learn more about machine learning and how to use it to build intelligent systems.
Provides a comprehensive overview of reinforcement learning, covering everything from the basics to advanced topics. It valuable resource for anyone who wants to learn more about reinforcement learning and how to use it to build intelligent systems.
Comprehensive guide to data warehousing fundamentals, including important foundational concepts and practices for data lake operations.
Provides a beginner-friendly guide to data lakes, covering topics such as what they are, how they work, and how to use them.

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