Discounted Training Courses

Cheap DATABASE AND BUSINESS INTELLIGENCE Scheduled Training Courses

KN3 offer cheap, reduced prices on scheduled Database and Business Intelligence computer training certification courses in key locations around London and the UK.

A comprehensive range of courses are available.

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 Training Courses
Database and Business Intelligence Training Courses

Building Big data Analytics Solutions in the Hadoop Ecosystem (3 days) KN3_1707Detailed information for course:Building Big data Analytics Solutions in the Hadoop Ecosystem 

Description:
Hadoop is more than just a couple technologies such as Hive and Spark; it’s an entire ecosystem of tools that can generate business value. This 3-day Big Data Analytics course gives attendees the essential skills to develop analytical applications using Big Data tools such as Apache Hive, Apache Spark, Presto, Apache NiFi, and Kylo. Our goal is to make students productive in modern Hadoop concepts and tools, while setting the stage for their future growth as a Hadoop developer. This course provides the essential grounding in the principles of Hadoop, the Hadoop Distributed File System (HDFS) storage engine, the roles of new Hadoop computation models such as Spark, and how to write applications effectively using these tools. If your developers are new to Hadoop, they’ll learn the skills necessary to start using Hadoop and integrating it with your existing capabilities. During this 3-day course, each student will have access to their own Amazon Web Services Elastic MapReduce (AWS EMR) cluster to gain hands-on experience with Hadoop. We will also provide students with configuration information necessary for them to create and use identically configured AWS EMR clusters after they have completed the course. Who is the course for Analytics Developers and Data Engineers wishing to learn how to apply Big Data tools in their analyses .. more hereDetailed information for course: Building Big data Analytics Solutions in the Hadoop Ecosystem


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Developing A Modern Business Intelligence System (5 days) KN3_1569Detailed information for course:Developing A Modern Business Intelligence System 

Description:
Business Intelligence (BI) systems are the heart of any company’s analytical capability. This course introduces the delegate to all the necessary terminology, architectures, approaches, skills, techniques, and infrastructure necessary to design and implement a successful BI system. The course focuses on the generic skills that are necessary to create an effective BI system and will teach you the skills that underpin good BI development no matter which software platform you use.
A BI system has the potential to revolutionise your business. It can turn the mass of data that sits in your operational systems (Finance, HR, Sales etc.) into high quality, well-defined information. This information allows you to move from a ‘gut-feel’ approach of decision making to a proper, evidence-based approach. A well-designed BI system collects the appropriate data from your operational systems and move it into a data warehouse. There it is restructured and organised for analytical purposes and often deployed to data marts. The approach, methodology and design techniques required to build a BI system differ significantly from those required to build operational systems and include ETL (Extract, Transform and Load), dimensional modelling and OLAP (On-Line Analytical Processing).
Target Audience:
This course is made up of a mix of theory and vendor-neutral practicals that allow delegates to apply the principles they have learnt. It is ideal for developers, software engineers, database administrators, data analysts, system analysts or application designers who will be involved in designing, building or maintaining a BI system. Please note delegates who have previously attended CSWARDE2 - Effective Data Warehouse Construction should not attend this course. .. more hereDetailed information for course: Developing A Modern Business Intelligence System


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Dimensional Modelling (3 days) KN3_675Detailed information for course:Dimensional Modelling 

Description:
Dimensional modelling is an integral part of any BI (Business Intelligence) system and can be used within the data warehouse and/or the data marts. This 3 day course assumes no prior knowledge of dimensional modelling.  It starts by discussing what a data warehouse is, how they are designed and the part that dimensional modelling plays.  The vitally important process of requirement gathering is covered and attendees are shown how to:

  • Collect the analytical requirements of the business users
  • Create a logical model of these requirements
  • Create a star schema from those requirements
The relational and dimensional models are compared and contrasted, with particular reference to the current Kimball/Inmon debate. The course then looks in great detail at dimensional modelling itself and finally ends with a summary of possible BI architectures. Audience:  This course is aimed at people who work in the BI area.  It is suitable for business analysts who need to understand the analytical requirements and turn those requirements into a model.  It is also suitable for the IT professional who will turn those models into working OLAP (On-Line Analytical Processing) structures... more hereDetailed information for course: Dimensional Modelling


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Understanding Data Science and Big Data (5 days) KN3_673Detailed information for course:Understanding Data Science and Big Data 

Description:
Both Data Science and Big Data have risen to prominence recently. Whilst they are not immutably linked, it is certainly true that many data scientists work extensively with big data. Both topics are so new that they are poorly understood; nevertheless there is considerable interest in both and there is a significant shortfall in the number of trained data scientists in the job market. This course introduces both the job role of the data scientist and will help develop familiarisation with big data. The course is vendor neutral; it is not about how to use any vendor's products, it is about the fundamental underpinnings of these two important subject areas.

Target Audience
This course is intended for people aspiring to be data scientists and/or to work with Big Data. Others who may take this course include Business Intelligence (BI) professionals who want to work with big data and/or are looking to move into Data Science. People coming into the course are expected to have at least 3 years experience working in the IT field—typically in the areas of databases, BI, analytics or related areas.. more hereDetailed information for course: Understanding Data Science and Big Data


Date Location List Price Our Price Book
28/08/2018 London (E1W) £3,182.00 £2,863.80 Book a cheap training course from KN3: Understanding Data Science and Big Data in London (E1W) on 28/08/2018 for 2,863.80 GBP (plus VAT)
02/10/2018 London (E1W) £3,182.00 £2,863.80 Book a cheap training course from KN3: Understanding Data Science and Big Data in London (E1W) on 02/10/2018 for 2,863.80 GBP (plus VAT)
12/11/2018 London (E1W) £3,182.00 £2,863.80 Book a cheap training course from KN3: Understanding Data Science and Big Data in London (E1W) on 12/11/2018 for 2,863.80 GBP (plus VAT)
28/01/2019 London (E1W) £3,182.00 £2,863.80 Book a cheap training course from KN3: Understanding Data Science and Big Data in London (E1W) on 28/01/2019 for 2,863.80 GBP (plus VAT)
18/03/2019 London (E1W) £3,182.00 £2,863.80 Book a cheap training course from KN3: Understanding Data Science and Big Data in London (E1W) on 18/03/2019 for 2,863.80 GBP (plus VAT)
17/06/2019 London (E1W) £3,182.00 £2,863.80 Book a cheap training course from KN3: Understanding Data Science and Big Data in London (E1W) on 17/06/2019 for 2,863.80 GBP (plus VAT)


Understanding Machine Learning (4 days) KN3_1642Detailed information for course:Understanding Machine Learning 

Description:

Machine Learning is a well understood process. We typically start with some existing data and pass it through an algorithm. The algorithm ‘learns’ from that specific data and produces a ‘data model’. This model has learnt from the data and now encapsulates information derived from the raw data. We then have to test the model (to see how good it is) and try to incrementally improve it. Finally, we evaluate the finished model and deploy it.
.. more hereDetailed information for course: Understanding Machine Learning


There are currently no dates available, please contact us for more information