Overview

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View a short webinar by Barry Devlin on Forget Warehouse vs Lake – You Need a Modern Data Architecture

 

Business Intelligence (BI) has made data the foundation of decision making since the 1990s. Today, digital business is fundamentally reinventing decision making, by putting information from every person and data from every sensor at decision makers’ fingertips. It challenges them to use it to address every aspect of business, to create anew every existing process, and to reinvent, not just decision making, but the entire enterprise.

Call it BI or analytics, serve it from a warehouse or a lake, it doesn’t matter. The implications span the entire business and IT environments across the full breadth of the organisation.

Modern architectures, technologies, and methods in data management and analytics incorporate all today’s technological advances in databases, NoSQL stores, and data preparation, as well as SOA, metadata, distributed access, collaboration, etc. And they directly address current issues, such as operational BI and analytics, strategic decision making, analytics, information discovery, and enterprise-wide decision management.

Expanding from his comprehensive and respected “Business unIntelligence” architecture to emerging topics such as the Internet of Things, algorithms, and artificial intelligence, Dr. Barry Devlin charts the essentials of data warehouses and data lakes, BI and analytics to build a digital business from the existing data warehouse and BI systems running enterprises today.

Learning Objectives

  • The meaning and implications of digital business
  • Drivers, structure and components of decision-making support architectures
  • Data and Information—for data warehouses, marts and lakes
  • Possibilities and challenges of new database and data management technologies
  • Formal and Informal processes—getting from information to action
  • Data virtualization and preparation tools for integration across warehouses and lakes
  • Positioning and using algorithms and analytics in support of decision making
  • People—action-oriented decision making
  • The importance of business context and user roles in decision processes
  • Planning and implementation—practical steps for building modern warehouses, lakes and BI

Course Outline

Digital Business—History and Emergence

  • A brief history of decision-making support
  • Origins and meaning of digital business

An Architecture Combining Data Warehouses and Data Lakes

  • The emergence and impact of big data, the Internet of Things and artificial intelligence
  • A new layering approach—Information, Process, and People
  • The pillars of a new architecture that supports multiple storage technologies

The Information Resource—the Foundation for Everything

  • Information/data classes—human-sourced, machine-generated and process-mediated
  • Big data—hype and reality, sources and types, implications for business and IT
  • Key considerations—timeliness/consistency, structure/context, and reliance/usage
  • Metadata as information—sources and stores, tools and techniques
  • Relational database evolution—structures, software and hardware
  • NoSQL data stores, Hadoop-based databases, XML, JSON-based and other data stores

The Business Processes—Getting from Decisions to Actions

  • Data Preparation, ETL, Data Warehouse Automation, Wrangling, and Data Virtualisation
  • The new role of users in “application development”
  • Understanding adaptive, closed-loop business processes
  • Service Oriented Architecture and Microservices
  • A model for decision making and action taking—the adaptive decision loop

The People—Understanding Needs and Engaging Innovation

  • Motivation and the workings of the human mind in business systems
  • Classes of BI—information-centric, process-centric and collaborative
  • BI, analytic and other decision support tools
  • Decision-making and action-taking in a closed-loop, real-time environment
  • Augmenting and/or Automating decision making and action taking
  • The emergence and importance of artificial intelligence

Planning and Implementation

  • Evolution—not revolution
  • The Staged Implementation Roadmap
  • Organisational considerations; changes in IT culture and responsibilities
  • Selected possible first migration steps

Who It's For

  • Enterprise, systems, solutions and data warehouse architects
  • Systems, strategy and BI/analytics managers
  • Data warehouse/lake and systems designers and developers
  • Data and database administrators
  • Tech-savvy business analysts

Speaker

Dr. Barry Devlin

Founder and Principal

9sight Consulting

Dr. Barry Devlin is among the foremost authorities on business insight and one of the founders of data warehousing, having published the first architectural paper in 1988. With over 30 years of IT experience, including 20 years with IBM as a Distinguished Engineer, he is a widely respected analyst, consultant, lecturer and author of the seminal book, “Data Warehouse—from Architecture to Implementation” and numerous White Papers. His 2013 book, “Business unIntelligence—Insight and Innovation beyond Analytics and Big Data” is available in both hardcopy and e-book formats. As founder and principal of 9sight Consulting (www.9sight.com), Barry provides strategic consulting and thought-leadership to buyers and vendors of BI solutions. He is continuously developing new architectural models for all aspects of decision-making and action-taking support. Now returned to Europe, Barry’s knowledge and expertise are in demand both locally and internationally.

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