Data Warehousing & BI Summit - Barry Devlin - Rick van der Lans - Mike Ferguson Data Warehousing & Business Intelligence Summit

Designing, Operating and Managing an Enterprise Data Lake

This seminar looks at the requirements to be able to define, govern, manage and share trusted high quality information in a hybrid computing environment. It also explores a new approach of how IT data architects, business users and IT developers can collaborate together in designing, building and managing an enterprise data lake to get control of your data. This includes introducing a data refinery and information catalog to produce and publish enterprise data services for consumption across your company.

Datavisualisatie en Data Driven Storytelling

Hoe gaat u van data naar inzicht? En hoe gaat u om met grote hoeveelheden data, de noodzaak van storytelling, data science en de data artist? Lex Pierik behandelt de stromingen in datavisualisatie, dashboards en grafieken en de rol en functie van visualisatie binnen organisaties. U doet hands-on ervaring op in de workshop Data Driven Storytelling dat onderdeel uitmaakt van deze waardevolle dag.

Datamanagement en de EU Privacy en Databescherming wetgeving

De nieuwe Europese General Data Protection Regulation (GDPR) vervangt mei 2018 onze Nederlandse privacywet, de Wet Bescherming Persoonsgegevens. Met hoge boetes, een toegenomen bedreiging van datalekken en hacks, de mogelijkheid tot juridische vervolging, het risico op reputatieschade, en dergelijke risico’s is het niet verwonderlijk dat privacy hoog op de agenda staat van alle lagen van een bedrijf of organisatie. In deze workshop met onze ervaren GDPR-specialist Christoph Balduck wordt een concrete datamanagement aanpak behandeld zodat u tijdig de juiste maatregelen kunt nemen.

Hadoop en NoSQL: dé Technologie voor Big Data

A unique seminar in which Rick van der Lans will take you through the latest technology and products. Big Data, Hadoop, NoSQSL will have no more secrets after attending this session. What are the use cases for your company? How do you integrate with existing datawarehouse architecture?

Advanced Data Modelling

This highly participative workshop provides approaches for many difficult data modeling situations, as well as techniques for improving communication between data modelers and subject matter experts. Topics will be covered with a discussion of the issue, a review of guidelines and examples, a workshop exercise, and a group solution and debriefing.

A Business-oriented Approach to Data Modelling

This data modelling workshop by Alec Sharp introduces Entity-Relationship modelling from a non-technical perspective, provides tips and guidelines for the analyst, and explores contextual, conceptual, and detailed modelling techniques that maximize user involvement.

Business Intelligence & Datawarehousing Fundamentals

The world of BI and data warehousing can feel overwhelming due to their unique terminology and technologies. What do star scheme data mart, ETL, self-service BI, data science, big data, staging area and BI in the cloud actually mean? This seminar gives you a complete and practical introduction.

Mastering the Requirements Process

James Archer presents a complete process for uncovering the real requirements, testing them for correctness, and recording them clearly, comprehensibly and unambiguously. The workshop shows you how to precisely define the scope of the business problem, to discover and involve the stakeholders, to use today’s techniques to learn what the business really needs, to innovate and find better ways to do the work, to communicate effectively and to write testable, unambiguous requirements.

Low Code Development with Microsoft PowerApps and Flow

With the launch of the Microsoft Business Application Framework, which includes Power BI as well as PowerApps, Flow and the Common Data Service, Microsoft has heavily invested into their low code app platform. During this seminar we will take a closer look at the low code business application platform and more specifically at Microsoft PowerApps, Flow and the Common Data Service. Prepare yourself for these revolutionary technologies by attending this in-depth afternoon seminar.

Machine Learning & Advanced Analytics

Look at the need to capture new data sources to add to what we already know and use machine learning to automatically discover, profile and catalog what is in these data sources. Then look at how machine learning and advanced analytical techniques techniques such as text analyses, sentiment analysis, graph and streaming analytics can be used at scale on Big data to provide new insight that helps foster growth, reduce costs and improve effectiveness for competitive advantage.