Dive into Data Engineering, a pivotal technique in the digital age for building scalable and robust data pipelines, and through our training, enable your team to expertly design and construct efficient data architectures.
Embark on a data engineering journey with our immersive training program today
Who is this for?
Data Engineers, Data Scientists, Business Intelligence (BI) Teams and more
Data Engineers, Data Scientists, Business Intelligence (BI) Teams and more
This course is designed for data engineers who want to master the tools and techniques used in modern data engineering. We'll cover HDFS as the foundation of big data, and data processing with Hive, Impala, and Spark. Further, we will investigate advanced data storage technologies such as HBase and Kudu and finish the training with some job-orchestration tools such as Airflow.
In-depth Coverage: Data Engineering Training Course
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Introduction to data engineering and big data
Begin your journey into the realm of data engineering and big data, exploring the concepts and techniques that empower you to manage and process massive datasets effectively.
Hadoop Distributed File System (HDFS) and Hadoop ecosystem tools
Learn about HDFS, the backbone of Hadoop, and delve into various ecosystem tools that enable you to process and analyze big data with ease and efficiency.
Apache Hive and Impala for SQL-based data processing
Discover the power of Apache Hive and Impala, the SQL-based tools that enable seamless data processing and querying, simplifying big data management for engineers.
Apache HBase and Apache Kudu for NoSQL data storage
Explore Apache HBase and Apache Kudu, the NoSQL data storage solutions that offer high performance and scalability, perfect for managing large volumes of structured and semi-structured data.
Apache Spark for distributed data processing and analytics
Understand Apache Spark, the powerful distributed data processing engine, and learn how it empowers you to perform advanced analytics and data processing tasks on large datasets.
Airflow for data pipeline orchestration and scheduling
Uncover the capabilities of Apache Airflow, the open-source platform that enables you to orchestrate and schedule complex data pipelines, streamlining your data engineering workflows.
Best practices for data engineering
Become well-versed in the best practices for data engineering development, deployment, and monitoring, ensuring the reliability, efficiency, and security of your big data solutions.
Future topics shaped by your team's needs
The journey doesn't stop here! Depending on your team's requirements, we're ready to introduce future topics or additional technology training, providing an adaptable learning experience you won't find elsewhere.
Program Goal
What You Will Take Away
You will gain the knowledge and practical skills needed to design and build robust data pipelines, integrate diverse data sources, and apply efficient data engineering practices in real-world projects.
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Design and build robust data pipelines for large-scale data processing and transformations
Integrate diverse data sources and destinations seamlessly
Gain hands-on experience to confidently apply skills in real-world data engineering projects
Improve data management and processing practices within your organization
Hear from our satisfied course attendees
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, A1 Telekom Austria AG
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 of 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
Vattenfall, BA Heat
Meet the Trainers
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Matthias Baumann
Chief Technology Officer & Principal Big Data Solutions Architect Lead, Ultra Tendency
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Hudhaifa Ahmed
Senior Lead Big Data Developer & Berlin Territory Manager, Ultra Tendency
Marvin Taschenberger
Professional Software Architect, Ultra Tendency
Master the art of data engineering: join Ultra Tendency Academy for personalized data pipeline training
Frequently Asked Questions
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Customized Trainings
Tailor-made training programs meet your team's unique needs, promoting exponential skills growth.
Practice-oriented Approach
Our method provides hands-on solutions to real data challenges, enabling immediate practical application.
Broad Technological Coverage
Our comprehensive knowledge of modern technologies ensures your business can scale and excel in the digital era.
Tech Deep Dive
Experience a deep exploration into new tech trends, gaining profound insights and knowledge.
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