Online or onsite, instructor-led live Data Warehouse training courses demonstrate through discussion and hands-on practice how to understand, plan and set up a Data Warehouse.
Data Warehouse training is available as "online live training" or "onsite live training". Online live training (aka "remote live training") is carried out by way of an interactive, remote desktop. Berlin onsite live Data Warehouse trainings can be carried out locally on customer premises or in NobleProg corporate training centers.
Data Warehouse is also known as Enterprise Data Warehouse (EDW) or Data Warehousing.
Our training facilities are located at Brückenstr. 4 in Berlin. Located on the fourth floor of a well-kept office building, our premises offer enough space for successful training courses in the heart of Berlin, within walking distance of the Jannowitzbrücke station.
Directions
The NobleProg training facilities are located in the heart of Berlin's Mitte district, just one underground station from Alexanderplatz, one of the centres of this vibrant city. By public transport you can reach us either by underground line U8 to Jannowitzbrücke station, followed by about 100 meters on foot.
Parking
Cars can be parked in the area along Brückenstr. and the nearby side streets, even if you may have to search for a moment. There is no charge for parking.
Local Amenities
Around the Rosenthaler Platz there are numerous small restaurants and shops where you can eat well and cheaply. There are also some hotels close by if you need accommodation for the training.
Our training facilities are located at Dianastrasse 46 in Potsdam-Babelsberg.
Our spacious training rooms are located directly opposite the Filmstudios Babelsberg and offer optimal training conditions for your needs.
Arrival
The NobleProg training facilities are conveniently located near the Medienstadt Babelsberg railway station,
and the A115 motorway is also easily accessible.
Parking
Parking is available in the surrounding streets around our training rooms.
Local Services
Potsdam offers numerous hotels and restaurants and is easily accessible thanks to its well-developed public transport system.
This instructor-led, live training in Berlin (online or onsite) is aimed at advanced-level data professionals who wish to optimize data processing workflows, ensure data integrity, and implement robust data lakehouse solutions that can handle the complexities of modern big data applications.
By the end of this training, participants will be able to:
Gain an in-depth understanding of Iceberg’s architecture, including metadata management and file layout.
Configure Iceberg for optimal performance in various environments and integrate it with multiple data processing engines.
This instructor-led, live training in Berlin (online or onsite) is aimed at beginner-level data professionals who wish to acquire the knowledge and skills necessary to effectively utilize Apache Iceberg for managing large-scale datasets, ensuring data integrity, and optimizing data processing workflows.
By the end of this training, participants will be able to:
Gain a thorough understanding of Apache Iceberg's architecture, features, and benefits.
Learn about table formats, partitioning, schema evolution, and time travel capabilities.
Install and configure Apache Iceberg in different environments.
Create, manage, and manipulate of Iceberg tables.
Understand the process of migrating data from other table formats to Iceberg.
This instructor-led, live training in Berlin (online or onsite) is aimed at intermediate-level IT professionals who wish to enhance their skills in data architecture, governance, cloud computing, and big data technologies to effectively manage and analyze large datasets for data migration within their organizations.
By the end of this training, participants will be able to:
Understand the foundational concepts and components of various data architectures.
Gain a comprehensive understanding of data governance principles and their importance in regulatory environments.
Implement and manage data governance frameworks such as Dama and Togaf.
Leverage cloud platforms for efficient data storage, processing, and management.
This instructor-led, live training in Berlin (online or onsite) is aimed at intermediate-level data engineers who wish to learn how to use Azure Data Lake Storage Gen2 for effective data analytics solutions.
By the end of this training, participants will be able to:
Understand the architecture and key features of Azure Data Lake Storage Gen2.
Optimize data storage and access for cost and performance.
Integrate Azure Data Lake Storage Gen2 with other Azure services for analytics and data processing.
Develop solutions using the Azure Data Lake Storage Gen2 API.
Troubleshoot common issues and optimize storage strategies.
This instructor-led, live training in Berlin (online or onsite) is aimed at intermediate-level IT professionals who wish to have a comprehensive understanding of IBM DataStage from both an administrative and a development perspective, allowing them to manage and utilize this tool effectively in their respective workplaces.
By the end of this training, participants will be able to:
Understand the core concepts of DataStage.
Learn how to effectively install, configure, and manage DataStage environments.
Connect to various data sources and extract data efficiently from databases, flat files, and external sources.
This instructor-led, live training in Berlin (online or onsite) is aimed at intermediate-level big data professionals who wish to utilize Apache Kylin for building real-time data warehouses and performing multidimensional analysis on large-scale datasets.By the end of this training, participants will be able to:
Set up and configure Apache Kylin with real-time streaming data sources.
Design and build OLAP cubes for both batch and streaming data.
Perform complex queries with sub-second latency using Kylin's SQL interface.
Integrate Kylin with BI tools for interactive data visualization.
Optimize performance and manage resources effectively in Kylin.
This instructor-led, live training in Berlin (online or onsite) is aimed at intermediate-level database administrators, developers, and analysts who wish to master advanced SQL functionalities for complex data operations and database management.
By the end of this training, participants will be able to:
Perform advanced querying techniques using unions, subqueries, and complex joins.
Add, update, and delete data, tables, views, and indexes with precision.
Ensure data integrity through transactions and manipulate database structures.
Create and manage databases efficiently for robust data storage and retrieval.
This instructor-led, live training in Berlin (online or onsite) is aimed at intermediate-level database professionals who wish to enhance their skills in Oracle SQL development and administration.
By the end of this training, participants will be able to:
Build and optimize complex SQL queries.
Manage databases efficiently using Oracle SQL tools.
Apply best practices in database development and maintenance.
Administer user access and database security in an Oracle environment.
Amazon Redshift is a petabyte-scale cloud-based data warehouse service in AWS.
In this instructor-led, live training, participants will learn the fundamentals of Amazon Redshift.
By the end of this training, participants will be able to:
Install and configure Amazon Redshift
Load, configure, deploy, query, and visualize data with Amazon Redshift
Audience
Developers
IT Professionals
Format of the course
Part lecture, part discussion, exercises and heavy hands-on practice
Note
To request a customized training for this course, please contact us to arrange.
In this instructor-led, live training in Berlin, participants will learn how to build a Data Vault.
By the end of this training, participants will be able to:
Understand the architecture and design concepts behind Data Vault 2.0, and its interaction with Big Data, NoSQL and AI.
Use data vaulting techniques to enable auditing, tracing, and inspection of historical data in a data warehouse.
Develop a consistent and repeatable ETL (Extract, Transform, Load) process.
Build and deploy highly scalable and repeatable warehouses.
Apache Druid is an open-source, column-oriented, distributed data store written in Java. It was designed to quickly ingest massive quantities of event data and execute low-latency OLAP queries on that data. Druid is commonly used in business intelligence applications to analyze high volumes of real-time and historical data. It is also well suited for powering fast, interactive, analytic dashboards for end-users. Druid is used by companies such as Alibaba, Airbnb, Cisco, eBay, Netflix, Paypal, and Yahoo.
In this instructor-led, live course we explore some of the limitations of data warehouse solutions and discuss how Druid can compliment those technologies to form a flexible and scalable streaming analytics stack. We walk through many examples, offering participants the chance to implement and test Druid-based solutions in a lab environment.
Format of the Course
Part lecture, part discussion, heavy hands-on practice, occasional tests to gauge understanding
This instructor-led, live training in Berlin (online or onsite) is aimed at administrators who wish to set up Greenplum Database for business intelligence and data warehousing solutions.
By the end of this training, participants will be able to:
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