IN PARTNERSHIP WITH:

Data Warehouse ModernisationFrom Passive Data Warehouse to Live Analytical Ecosystem2-3 MAY 2019 – etc.venues Marble Arch

For many CEOs, customer retention, loyalty, service and growth are top of their agenda. Therefore, they want access to new data to enrich what they already know about customers. In addition, COOs are adding telemetry to capture new data to optimise operations. Yet at the same time, regulations like GDPR, KYC, MiFiD are everywhere, making governance and risk management also a priority.

Given these new requirements, many companies running traditional data warehouses and data marts are realising that just recording historical transaction activity is not enough. The pace of change is quickening, business is demanding lower latency data, the backlog of changes to data warehouses and data marts is growing rapidly, while testing remains slow and complicated. Also, with business unit autonomy, new technology available on the cloud, and pent-up demand for machine learning everywhere, shadow IT is springing up in business units, fracturing the analytical effort and building new analytical silos that are not integrated with data warehouses. With so much pressure to remain competitive, how then do you modernise your analytical setup, to improve governance and agility, bring in new data, re-use data assets, modernise your data warehouse to easily accommodate change, lower data latency and integrate with other analytical workloads to provide a new modern logical data warehouse for the digital enterprise?

This new 2-day seminar looks at the business case as to why you need to do this, discusses the tools and techniques needed to capture new data types, establish a data pipeline to produce re-usable data assets, modernise your data warehouse and bring together the data and analytics needed to accelerate time to value, deliver new insights to foster growth, reduce costs, improve effectiveness and enable competitive advantage.

Training Modules

1

THE TRADITIONAL DATA WAREHOUSE AND WHY IT NEEDS TO BE MODERNISED

2

MODERN DATA WAREHOUSE REQUIREMENTS

3

MODERN DATA MODELLING TECHNIQUES FOR AGILE DATA WAREHOUSING

4

MODERNISING YOUR ETL PROCESSING

5

ACCELERATING ETL PROCESSING USING A MULTI-PURPOSE DATA LAKE & DATA CATALOG

6

RAPID DATA WAREHOUSE DEVELOPMENT USING DATA WAREHOUSE AUTOMATION

7

BUILDING A MODERN DATA WAREHOUSE IN A CLOUD COMPUTING ENVIRONMENT

8

SIMPLIFYING DATA ACCESS – CREATING VIRTUAL DATA MARTS AND A LOGICAL DATA WAREHOUSE ARCHITECTURE TO INTEGRATE BIG DATA WITH YOUR DATA WAREHOUSE

9

GETTING STARTED WITH DATA WAREHOUSE MODERNISATION

AFTER 2 DAYS ATTENDEES WILL:

  • Understand why data warehouse modernisation is needed to help improve decision-making and competitiveness
  • Have the ingredients to know how to modernise your data warehouse to improve agility, reduce cost of ownership, facilitate easy maintenance
  • Understand modern data modelling techniques and how to reduce the number of data stores in a data warehouse without losing information
  • Understand how to exploit cloud computing at lower cost
  • Understand how to reduce data latency
  • Know how to migrate from a waterfall-based data warehouse and data marts to a lean, modern logical data warehouse with virtual data marts that integrate easily with other analytical systems
  • Know how to use data virtualisation to simplify access to a more comprehensive set of insights available on multiple analytical platforms running analytics on different types of data for precise evidence-based decision-making
  • Understand the role of a modern data warehouse in a data-driven enterprise

Mike Ferguson – Trainer

Mike Ferguson is Managing Director of Intelligent Business Strategies Limited. As an analyst and consultant he specialises in business intelligence and enterprise business integration. With over 35 years of IT experience, Mike has consulted for dozens of companies. He has spoken at events all over the world and written numerous articles. He is Chairman of Big Data LDN – the fastest-growing Big Data conference in Europe, chairman of the UK CDO Exchange, the Italian Big Data Conference and the Italian Data and Analytics Conference. Formerly, he was a principal and co-founder of Codd and Date Europe Limited – the inventors of the Relational Model, a Chief Architect at Teradata on the Teradata DBMS and European Managing Director of Database Associates. He teaches popular masterclasses in Machine Learning and Advanced Analytics, Big Data Fundamentals, Data Governance & MDM, and Data Lake operations.

VENUE INFORMATION

Etc. Venues Marble Arch
Garfield House, 86 Edgware Road, London W2 2EA

Dates: 2 May 2019, 09:00-17:00
3 May 2019, 09:00-17:00


CONTACT INFORMATION

3rd Street Group
Unit A3, Broomsleigh Business Park, Worsley Bridge Road, London SE26 5BN

T: +44 (0)20 3291 4014
E: info@bigdataldn.com

Delegate Admission Delegate Admission: £1395 + VAT per person

PLACES ARE STRICTLY LIMITED

*MULTIPLE DELEGATE DISCOUNT AVALIABLE*

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