
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. Onsite live Data Warehouse training can be carried out locally on customer premises in Singapore or in NobleProg corporate training centers in Singapore.
Data Warehouse is also known as Enterprise Data Warehouse (EDW) or Data Warehousing.
NobleProg -- Your Local Training Provider
Testimonials
Ajay created a very helpful repository, filled with notes on processes and setups. He also goes through each of our virtual machines to make sure we are keeping up to speed, and he guides us when we're not. He is generous and helpful in training newbies like us.
Thakral One
Course: Apache Druid for Real-Time Data Analysis
Instructor provided different ways to setup druid
Thakral One
Course: Apache Druid for Real-Time Data Analysis
Detailed explanation and very approachable trainer
Thakral One
Course: Apache Druid for Real-Time Data Analysis
The Topic
Accenture Inc.
Course: Data Vault: Building a Scalable Data Warehouse
Enterprise Data Warehouse (EDW) Subcategories in Singapore
EDW (Enterprise Data Warehouse) Course Outlines in Singapore
- 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
- 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.
- Part lecture, part discussion, heavy hands-on practice, occasional tests to gauge understanding
- 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 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
- 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.
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