Data Lakehouse
for Data Professionals

Data Lakehouse
for Data Professionals

Discover Data Lakehouses, the next generation of efficient, scalable, and flexible data management architecture.

With our expert-led training program,
designed to equip you with cutting-edge skills in modern application deployment and management.
Benefit from our wealth of experience from countless customer projects:

Experience a balanced mix of theory, live demonstrations and practical exercises.

Learn to distinguish between Data Lakes, Data Warehouses, and Data Lakehouses to leverage the benefits of each.

Gain hands-on skills in Delta Lake and Apache Iceberg to implement key features like ACID transactions and time travel.

Master strategies for optimizing query performance and data storage management in Data Lakehouse environments.

Data Lakehouse for Data Professionals – upcoming dates

09.12.2024

Data Lakehouses for Data Professionals

17.01.2025

Data Lakehouses for Data Professionals

20.02.2025

Data Lakehouses for Data Professionals

This training is designed for data engineers, data architects, and data scientists who want to elevate their data management skills with modern, scalable architectures. Ideal for professionals handling large-scale data storage and processing, this course covers practical approaches to create flexible, efficient storage solutions that bridge traditional and modern data architectures. If you are experienced with data lakes or warehouses and ready to advance to data lakehouses, this course will guide you every step of the way.

Practical Applications That We Will Cover in the Training:

  • 1

    Setting up Delta Lake and Apache Iceberg environments for data management.

  • 2
    Implementing and testing ACID transactions in Delta Lake.
  • 3
    Using time travel features to query historical data.
  • 4
    Managing schema evolution and hidden partitioning in Apache Iceberg.
  • 5
    Optimizing query performance and managing data storage.

After The Course, You Will Be Able To:

  • 1
    Define and differentiate between Data Lakes, Data Warehouses, and Data Lakehouses.
  • 2
    Explain why Data Lakehouses are useful and how they address the limitations of traditional data storage architectures.
  • 3
    Set up and work with Delta Lake and Apache Iceberg environments.
  • 4
    Implement key features like ACID transactions, time travel, and schema evolution in Delta Lake and Apache Iceberg.
  • 5
    Optimize performance and manage large datasets efficiently in a Data Lakehouse setup.

The Data Lakehouse training is perfect for you if…

  • You are a data engineer, data architect, or data scientist looking to deepen your knowledge of modern data storage architectures.
  • You are responsible for managing large volumes of data and are exploring more efficient storage and processing solutions.
  • You are familiar with traditional data lakes or data warehouses and want to understand the next step in data architecture evolution.

The Data Lakehouse training is not suitable for you if…

  • You are new to data engineering concepts and do not have a basic understanding of data storage architectures.
  • You are looking for a course focused on traditional relational databases rather than modern data storage solutions.
  • You prefer a purely theoretical course without hands-on lab work.

Agenda

Training

For small companies and teams that are new to the topic.

  • What is a Data Lakehouse?
  • Why Data Lakehouses are Useful
  • Key Components of a Data Lakehouse

  • Introduction to Delta Lake
  • Introduction to Apache Iceberg
  • Comparing Delta Lake and Apache Iceberg

  • Setting Up a Delta Lake Environment
  • Working with Delta Lake Features
  • Best Practices with Delta Lake

  • Setting Up an Apache Iceberg Environment
  • Working with Apache Iceberg Features
  • Best Practices with Apache Iceberg

  • Introduction to DataGovernance with Unity Catalog
  • Taming Data Flows: Introduction to DAG-Stack
  • Opening Data from semantic layers to REST

Customized

For large companies and teams that want to master special challenges.

  • Your environment
  • Your issues
  • Your Risks

  • What is a Data Lakehouse?
  • Why Data Lakehouses are Useful
  • Key Components of a Data Lakehouse

  • Introduction to Delta Lake
  • Introduction to Apache Iceberg
  • Comparing Delta Lake and Apache Iceberg

  • Setting Up a Delta Lake Environment
  • Working with Delta Lake Features
  • Best Practices with Delta Lake

  • Setting Up an Apache Iceberg Environment
  • Working with Apache Iceberg Features
  • Best Practices with Apache Iceberg

  • Introduction to DataGovernance with Unity Catalog
  • Taming Data Flows: Introduction to DAG-Stack
  • Opening Data from semantic layers to REST

Hear from our satisfied training attendees

A1 Telekom Austria AG

Reinhard Burgmann
Head of Data Ecosystem

„UTA coached my team along the development process of the migration plan of our on premises data lake to the public cloud.

The outstanding level of expertise, both on a technical and organizational level, ensured a well-structured and realistic migration plan including timeline, milestones, and efforts.

The enablement of my team was at the center of a very smooth collaboration. Through UTA, we achieved our goal faster and reduced risks of the migration project significantly.

I highly recommend UTA’s services!“

Vattenfall

Bernard Benning
BA Heat

„I recently attended Vattenfall IT’s online Kafka training day hosted by Ultra Tendency, and it was an enriching experience.

The trainer, Ahmed, did a fantastic job explaining the theory behind Kafka, and the emphasis on practical application was great. The hands-on programming exercises were particularly helpful, and I’ve never experienced training with so many interactive examples!

Overall, I highly recommend this training to anyone who wants to improve their Kafka knowledge interactively and gain valuable skills.“

VP Bank

Eisele Peer
Lead Architect & Head of IT Integration & Development

“The MLOps training exceeded our expectations!

It offered a perfect blend of an overview, hands-on coding examples, and real-world use cases. The trainer answered all questions competently and adapted the content to fit our company’s infrastructure.

This training not only provided us with knowledge but also practical skills that we can apply immediately.“

Your investment

949 € plus VAT.
  • Begin with an overview of Data Lakehouses, exploring the evolution from traditional data storage to flexible, high-performance architectures.
  • Dive into Delta Lake and Apache Iceberg, mastering their architectures and unique features for effective data storage and retrieval.
  • Implement ACID transactions, time travel, and schema evolution to manage and query historical data accurately.
  • Apply best practices for optimizing data performance and managing efficient, large-scale data storage tailored to the demands of modern data processing.
Book now
Choose costumized

Get to know your trainers

Marvin Taschenberger

Professional Software Architect, Ultra Tendency

Hudhaifa Ahmed

Senior Lead Big Data Developer Berlin Territory Manager, Ultra Tendency

Matthias Baumann

Chief Technology Officer & Principal Big Data Solutions Architect Lead, Ultra Tendency

Required hardware & infrastructure for your Data Lakehouse Training

  • You will need a PC or Mac with a web browser and MS Teams.
  • During the training, we will provide you with a virtual machine with the required local dependencies, services and root access.
  • This VM has a running Kubernetes cluster on which you can test and execute the training instructions.
  • You can access the machine via a browser or SSH if you wish and the network restrictions allow it.