
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. Estonia 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.
NobleProg -- Your Local Training Provider
Testimonials
The Topic
Accenture Inc.
Course: Data Vault: Building a Scalable Data Warehouse
Example exercises; Practical work experience sharing
澳新银行
Course: Data Vault: Building a Scalable Data Warehouse
Machine Translated
Cube and DV
Alan Xie
Course: Data Vault: Building a Scalable Data Warehouse
Machine Translated
The teacher's knowledge of the data warehouse is comprehensive, and he praises it!
澳新银行
Course: Data Vault: Building a Scalable Data Warehouse
Machine Translated
The teacher explained in detail and discussed the atmosphere
澳新银行
Course: Data Vault: Building a Scalable Data Warehouse
Machine Translated
Practical application, help in explaining many different doubts
SGB-Bank S.A.
Course: Data Vault: Building a Scalable Data Warehouse
Machine Translated
EDW Subcategories in Estonia
EDW Course Outlines in Estonia
- Consume real-time streaming data using Kylin
- Utilize Apache Kylin's powerful features, rich SQL interface, spark cubing and subsecond query latency
- We use the latest version of Kylin (as of this writing, Apache Kylin v2.0)
- Big data engineers
- Big Data analysts
- Part lecture, part discussion, exercises and heavy hands-on practice
- Part lecture, part discussion, heavy hands-on practice, occasional tests to gauge understanding
- Understand the key concepts and characteristics of MemSQL
- Install, design, maintain, and operate MemSQL
- Optimize schemas in MemSQL
- Improve queries in MemSQL
- Benchmark performance in MemSQL
- Build real-time data applications using MemSQL
- Developers
- Administrators
- Operation Engineers
- Part lecture, part discussion, exercises and heavy hands-on practice
- Install and configure Amazon Redshift
- Load, configure, deploy, query, and visualize data with Amazon Redshift
- Developers
- IT Professionals
- Part lecture, part discussion, exercises and heavy hands-on practice
- To request a customized training for this course, please contact us to arrange.
- Install and configure Pivotal Greenplum.
- Model data in accordance to current needs and future expansion plans.
- Carry out different techniques for distribute data across multiple nodes.
- Improve database performance through tuning.
- Monitor and troubleshoot a Greenplum database.
- Address processing needs with Greenplum.
- Perform ETL operations for data processing.
- Leverage existing query processing infrastructures.
- 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.
Last Updated: