Overview

Part of the Data Ed Week Europe

 So many organisations are designing a new architecture for data processing. The introduction of new technology, the change of data usage, and the new regulations for data privacy have convinced organisations they need a new data architecture. Examples of new forms of data usage are data science, real-time data analytics, embedded BI, and customer-driven BI. Examples of new technologies are Hadoop, NoSQL, analytical SQ, Spark, and Kafka.

Sometimes a new data architecture is needed to fulfil the digital transformation dream or to become a more data driven organisation. Both terms imply that the organisation wants to exploit their data investment more intensely.

A new data architecture may also be required because the old data warehouse architecture cannot be extended anymore. It has reached its expiration data. And implementing a data lake isn’t always the right solution.

Therefore, numerous organisations need to design a new data architecture. But how? Where do you start? This tutorial explains all the aspects involved in designing a modern data architecture. What should be included in such an architecture? Is one high-level PowerPoint slide showing all the databases and data streams sufficient? What constitutes a good data architecture? Guidelines are given on the topics that should be included, including data streams and data stores, data quality, data security and privacy, governance, and metadata specifications.

The tutorial is based on years of experiences with designing modern and evaluating existing data architectures for all kinds of organisations, from small to large, and from non-commercial to commercial. Good and bad examples from real life situations are discussed as examples.

Topics:

  • Introduction – what is a Data Architecture?
  • Overview of New Technologies for Data Storage, Data Processing, and Data Analytics
  • Design Aspects for Data Architectures
  • Innovative New Data Architectures
  • Action Plan for Developing a Complete and Correct Data Architecture

All public courses are available as in-house training. Contact us for more information.

Learning Objectives

  • What are the steps to take to come up with the perfect data architecture? From requirement analysis via proof of concepts to a data architecture.
  • What is the importance of a holistic approach to analyzing technology, organization, and architecture in conjunction?
  • What are real life examples of new data architectures?
  • How can the new technology use optimally within a new data architecture?
  • How do you develop a data architecture?
  • Which components make up a data architecture?
  • What are the use cases, pros and cons of new technologies and how do they influence data architectures?
  • What is the value of well-known reference architectures, such as the Lambda architecture, the logical data warehouse architecture and the data lake?
  • What are the right criteria for a data architecture?

Speaker

Rick van der Lans

Independent Analyst, Consultant, Author and Lecturer

R20/Consultancy

Rick van der Lans is a highly respected independent analyst, consultant, author, and internationally acclaimed lecturer specialising in data architectures, data warehousing, business intelligence, big data, and database technology. In 2018 he was selected the sixth most influential BI analyst worldwide by onalytica.com. He has presented countless seminars, webinars, and keynotes at industry-leading conferences. For many years, he served as the chairman of the annual European Enterprise Data and Business Intelligence Conference in London and the annual Data Warehousing and Business Intelligence Summit in The Netherlands. Rick helps clients worldwide to design their data warehouse, big data, and business intelligence architectures and solutions and assists them with selecting the right products. He has been influential in introducing the new logical data warehouse architecture worldwide, which helps organisations to develop more agile business intelligence systems. Over the years, Rick has written hundreds of articles and blogs for newspapers and websites and has authored many educational and popular white papers for a long list of vendors. He was the author of the first available book on SQL, Introduction to SQL, which has been translated into several languages with more than 100,000 copies sold. Recently published books are Data Virtualisation for Business Intelligence Systems and Data Virtualization: Selected Writings  He presents seminars, keynotes, and in-house sessions on data architectures, big data and analytics, data virtualization, the logical data warehouse, data warehousing and business intelligence.

Data Ed Week Europe 2019 Workshop: Practical Guidelines for Designing Modern Data Architectures

Data Ed Week Europe 2019 One Day Course: New Big Data Storage Technologies: From Hadoop to Graph Databases, and from NoSQL to NewSQL

Fees

  • 1 day
  • £795
  • FACE TO FACE - £795 + VAT (£159) = £954
  • 1 day
  • £695
  • LIVE STREAMING - £695 + VAT (£139) = £834
Group Booking Discounts
Delegates
2-3 10% discount
4-5 20% discount
6+ 25% discount

Venue

  • etc.venues Monument 8 Eastcheap London EC3M 1AE UK

Accommodation

IRM UK in association with P&G Management has arranged special discounted rates at all venues and at other hotels nearby the venue. Please visit the P&G Management website for further information.

Email: mina@pandgmanagement.co.uk Tel: +44 (0)84 5680 1138

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