Learn to combine the scalability of data lakes with the performance of warehouses. Master Delta Lake & Apache Iceberg to optimize, govern, and analyze big data efficiently.

Data Lakehouse for Data Professionals

Learn to combine the scalability of data lakes with the performance of warehouses. Master Delta Lake & Apache Iceberg to optimize, govern, and analyze big data efficiently.

Data Lakehouse for Data Professionals

At a glance

1 day

Individually schedulable

Completely
remote

Theory &
Practice

English

Learn to combine the scalability of data lakes with the performance of warehouses. Master Delta Lake & Apache Iceberg to optimize, govern, and analyze big data efficiently.

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Agenda (example)

We are happy to create a customized agenda with you so that Data Lakehouse will be a breeze in the future.

Day 1

Data Lakehouses – Foundations, Technologies & Best Practices

  1. What is a Data Lakehouse?
  2. Why Lakehouses are useful in modern data platforms
  3. Key components of a Lakehouse architecture
  1. Introduction to Delta Lake
  2. Introduction to Apache Iceberg
  3. Comparing Delta Lake and Apache Iceberg: strengths, use cases, trade-offs
  1. Setting up a Delta Lake environment
  2. Core Delta Lake features: ACID transactions, schema evolution, time travel
  3. Best practices for data management with Delta Lake
  1. Setting up an Apache Iceberg environment
  2. Key Iceberg capabilities: hidden partitioning, versioning, data snapshots
  3. Best practices for building scalable data platforms with Iceberg
  1. Introduction to Data Governance with Unity Catalog
  2. Managing complex data flows with the DAG stack
  3. Exposing data from semantic layers via RESTful APIs

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.

In this Data Lakehouse Training, you will learn …

… how to build and manage modern data platforms using Lakehouse technologies like Delta Lake and Apache Iceberg. This course is intended for data engineers, architects, and analysts looking to combine the scalability of data lakes with the reliability of data warehouses. If you’re responsible for handling large-scale datasets and want to improve performance, governance, and analytics, this training gives you hands-on skills to modernize your data architecture.

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.

Hear from our satisfied training attendees

A1 Telekom Austria AG

„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!“

Reinhard Burgmann
Head of Data Ecosystem

Vattenfall

„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.”

Bernard Benning
BA Heat

VP Bank

„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.“

Eisele Peer
Lead Architect & Head of IT Integration & Development

Hutchison Drei Austria GmbH

„The training Introduction to the Cloud with AWS and Azure impressed us! We particularly appreciated the excellent overview of the topics, the hands-on exercises, and the extensive practical activities that made the learned concepts directly applicable.

The content was well-structured, and the combination of theory and practical applications was ideal for our needs. The opportunity to clarify specific questions in the Q&A sessions was also extremely valuable. Overall, the training deepened our understanding of cloud computing and provided us with insights into the differences and strengths of AWS and Azure.

We now feel better prepared to make strategic decisions for our cloud strategy. Thank you for this excellent training!“

Eisele Peer
Lead Architect & Head of IT Integration & Development

Get to know your Training professionals

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.
  • You can access the machine via a browser or SSH if you wish and the network restrictions allow it.