Overview

Part of the Data Ed Week Europe

As the adoption of cloud computing continues to grow, we are now at the point where many companies may have deployed operational transaction processing applications both on-premises and in one or more clouds. Analytical systems are also running in the cloud including data warehouses, cloud based Hadoop systems, streaming analytics platforms and NoSQL Graph databases. With corporate data now either side of the firewall, there a growing demand to seamlessly manage and govern it consistently across data centres and multiple clouds.

This session looks in detail at the challenge of consistently managing data in a hybrid multi-cloud environment and looks at what is needed to keep cloud and on-premises systems integrated while maintaining data integrity. In particular it looks at data capture, operational data flows, analytical data flows data flows and governance in a hybrid computing environment.

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

Learning Objectives

  • To understand how to manage transaction data and operational process data flows in a hybrid and multi-cloud computing environment
  • To understand how to manage ETL processing and self-service data preparation in a distributed environment to avoid silos, share metadata and facilitate multi-platform analytics
  • To understand how you can systematically govern data in a hybrid and multi-cloud computing environment by defining policies once and enforcing them everywhere
  • To understand how to manage master data across on-premises data centres and one or more clouds
  • To understand the technology options to help you managing data in a hybrid and multi-cloud computing environment together with their pros and cons
  • To understand the critical importance of data catalogs in discovering what data you have on-premises and in multiple clouds
  • To understand how you can simplify access to multiple data stores both on-premises and in multiple clouds

Course Outline

  • Evolution – the growing adoption of the cloud to store and process data
    • Operational transaction processing on the cloud
    • Analytical systems in the cloud
  • Data complexity – The challenge of managing data in a hybrid computing environment
  • Data management requirements
    • Managing and synchronising master data in a hybrid computing environment
    • Data governance in a hybrid cloud computing environment
      • Managing data quality across cloud and on-premises systems
      • Managing data privacy across cloud and on-premises systems
      • Managing data access security across cloud and on-premises systems
      • Managing data retention in a hybrid computing environment
  • Data ingestion, cloud storage, automated data discovery and mapping – the role of the data lake and data catalog in managing data
  • ETL processing options
    • Integrating cloud and on-premises data for cloud and on-premises data warehouses,  data science and MDM
  • Data virtualisation – simplifying access to data across cloud and on-premises systems
  • What works and what doesn’t?
  • Dos and Don’ts
  • Getting started

Who It's For

  • CDOs
  • CIOs
  • Data Architects
  • Enterprise Architects
  • Data Stewards
  • DBAs
  • BI Managers
  • Data Science Managers
  • ETL developers
  • Data Governance managers
  • Data Privacy Officers

Speaker

Mike Ferguson

Managing Director

Intelligent Business Strategies

Mike Ferguson is Managing Director of Intelligent Business Strategies Limited.  As an independent analyst and consultant, he specialises in data management and analytics. With over 40 years of IT experience, Mike has consulted for dozens of companies. He has spoken at events all over the world and written numerous articles.  Mike is Chairman of Big Data LDN – the fastest growing Big Data conference in Europe. 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 master classes on Big Data Fundamentals, Modern Data Architecture, Data Governance of a Distributed Data Landscape, Data Warehouse Modernisation, Migrating to a Cloud Data Warehouse, Master Data Management and Machine Learning and Advanced Analytics. Follow Mike on Twitter @mikeferguson1.

Fees

  • 1 day
  • £795
  • £795 + VAT (£159) = £954
Group Booking Discounts
Delegates
2-3 10% discount
4-5 20% discount
6+ 25% discount

Venue

Accommodation

IRM UK in association with JP Events have arranged special discounted hotel rates at the venue above and at other hotels nearby.
Email: Mina@jpetem.com
Tel: +44(0)84 5680 1138
Fax: +44(0)84 5680 1139
http://www.jpevents-bookings.co.uk/IRM/jp-conflist.asp

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