Local, 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 "onsite live training" or "remote live training". Onsite live training can be carried out locally on customer premises in the UAE or in NobleProg corporate training centers in the UAE. Remote live training is carried out by way of an interactive, remote desktop. Data Warehouse is also known as Enterprise Data Warehouse (EDW) or Data Warehousing. NobleProg -- Your Local Training Provider
Example exercises; Practical work experience sharing
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Course:Data Vault: Building a Scalable Data Warehouse
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澳新银行
Course:Data Vault: Building a Scalable Data Warehouse
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The teacher explained in detail and discussed the atmosphere
澳新银行
Course:Data Vault: Building a Scalable Data Warehouse
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| Code | Name | Duration | Overview |
|---|---|---|---|
| bigddbsysfun | Big Data & Database Systems Fundamentals | 14 hours | The course is part of the Data Scientist skill set (Domain: Data and Technology). |
| druid | Druid: Build a Fast, Real-Time Data Analysis System | 21 hours | 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 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. Audience - Application developers - Software engineers - Technical consultants - DevOps professionals - Architecture engineers Format of the course - Part lecture, part discussion, heavy hands-on practice, occasional tests to gauge understanding |
| kylin | Apache Kylin: From Classic OLAP to Real-Time Data Warehouse | 14 hours | Apache Kylin is an extreme, distributed analytics engine for big data. In this instructor-led live training, participants will learn how to use Apache Kylin to set up a real-time data warehouse. By the end of this training, participants will be able to: - Consume real-time streaming data using Kylin - Utilize Apache Kylin's powerful features, including snowflake schema support, a rich SQL interface, spark cubing and subsecond query latency Note - We use the latest version of Kylin (as of this writing, Apache Kylin v2.0) Audience - Big data engineers - Big Data analysts Format of the course - Part lecture, part discussion, exercises and heavy hands-on practice |
| datavault | Data Vault: Building a Scalable Data Warehouse | 28 hours | Data vault modeling is a database modeling technique that provides long-term historical storage of data that originates from multiple sources. A data vault stores a single version of the facts, or "all the data, all of the time". Its flexible, scalable, consistent and adaptable design encompasses the best aspects of 3rd normal form (3NF) and star schema. In this instructor-led, live training, 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 Audience - Data modelers - Data warehousing specialist - Business Intelligence specialists - Data engineers - Database administrators Format of the course - Part lecture, part discussion, exercises and heavy hands-on practice |
| memsql | MemSQL | 28 hours | MemSQL is an in-memory, distributed, SQL database management system for cloud and on-premises. It's a real-time data warehouse that immediately delivers insights from live and historical data. In this instructor-led, live training, participants will learn the essentials of MemSQL for development and administration. By the end of this training, participants will be able to: - 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 Audience - Developers - Administrators - Operation Engineers Format of the course - Part lecture, part discussion, exercises and heavy hands-on practice |
| amazonredshift | Amazon Redshift | 21 hours | 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. |
| Course | Course Date | Course Price [Remote / Classroom] |
|---|---|---|
| Big Data & Database Systems Fundamentals - Dubai | Tue, 2018-11-06 09:30 | 11700AED / 17600AED |
| Course | Venue | Course Date | Course Price [Remote / Classroom] |
|---|---|---|---|
| Advanced Python | Dubai | Sun, 2018-11-04 09:30 | 23166AED / 32766AED |
| Data Mining | Dubai | Tue, 2018-11-13 09:30 | 19845AED / 27595AED |
| B2B Brand Management | Jeddah | Tue, 2018-11-13 09:30 | 5380AED / 8550AED |
| Systems Modelling with SysML | Dubai | Mon, 2018-12-03 09:30 | 19845AED / 27595AED |
| Forecasting with R | Dubai | Sun, 2018-12-09 09:30 | 13230AED / 19130AED |
| Comprehensive Git | Dubai | Tue, 2019-01-01 09:30 | 15795AED / 23545AED |
| Marketing Analytics using R | Dubai | Mon, 2019-03-04 09:30 | 19845AED / 27595AED |
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