Modern Data Architecture

(2 Days)

[email protected] www.intelligentbusiness.biz

OVERVIEW o B2B process integration Today, with most people connected to VALUE DRIVEN MODERN DATA o The arrival of Things (IoT the Internet, the power of the customer ARCHITECTURE devices) in the enterprise is almost limitless. The Internet has given  Digital transformation of analytical them freedom to choose. They can For most organisations today, their data systems with the transition from browse your competitors’ web sites. landscape is becoming increasingly more to analytical They can compare prices, they can complex. Transaction systems are now ecosystem encompassing sentiment about your business, and they running in one or more data centres and o Streaming analytics at the edge, can switch loyalty in a single click also in multiple clouds. Also, multiple in the cloud and the data centre anytime, anywhere all from a mobile data warehouses and data marts often o Machine learning and AI on Big device. In addition, the emergence of exist and big data platforms have also Data in Spark and Hadoop social media sites means that customers entered the enterprise. In addition, new also have a voice. They can express data sources continue to grow and new o Graph analysis in NoSQL Graph opinion and sentiment about products data collected in multiple places and brands on Twitter, Facebook, and including at the edge, in cloud storage, in o Traditional BI and reporting review web sites and create social cloud or on-premises NoSQL data stores,  Closing the loop between analytics networks by attracting followers and Hadoop systems and data warehouse and operations following others. For many CEOs, staging areas.  Digitisation of content customer retention, loyalty, service and growth are top of their agenda. In So how do you deal with all this to THE IMPACT OF DIGITAL addition, improving operational ensure data remains trusted and TRANSFORMATION ON DATA effectiveness to reduce costs is also high governed while also reducing time to Having introduced what is happening in on their priority list. The only way they value and producing high value insights? digital transformation, this session looks can achieve this is to integrate This first day of the class looks at this at the impact of all this on data. In processes, acquire more data and problem and shows how to build a particular it looks at: automate. CMOs also want access to modern data architecture to manage new data to enrich what they already data in a distributed and hybrid  New data entering the enterprise know about customers. New data is computing environment. Day 1 covers  New challenges brought about by: needed to provide insight on customer four key areas: o Data complexity – multiple on-line behaviour for better  Digitalisation and digital types of data store both on- segmentation and to understand the transformation premised and the cloud value of a customers’ social network and  The impact of digital transformation o siloes not just the customer. In addition, COOs on data o Data that is too big to move want more data to become more  Data Governance in the digital o Managing data in a distributed effective in operations. Instrumentation enterprise and hybrid computing is therefore being added so that  Key technology components in a environment operations can capture new data. With modern data architecture o Self-service data prep vs ETL/DQ so much demand we are now in an era  Establishing a data strategy and o Data warehouses in need of where data has never before been so modern data architecture for the modernisation important to business in helping to digital enterprise create competitive advantage. This new o Integration complexity 2-day seminar looks at the need to DIGITALISATION AND DIGITAL o The rapidly growing number of capture new data sources and perform TRANSFORMATION APIs and data lock-in caused analytics for competitive advantage. It This short session sets the scene for the o Data challenges caused by looks at digital transformation, the day. It looks at what digitalisation is, and hybrid application integration changes and new data sources it brings what digital transformation includes. In and B2B process integration and shows how you can still govern and particular it looks at:  New opportunities made possible manage data in a more complex data by new data landscape while accelerating time to  Digital transformation of value and delivering new insight to operational systems and processes DATA GOVERNANCE IN THE foster growth, reduce costs and improve including DIGITAL ENTERPRISE effectiveness. o Cloud OLTP application adoption Having understood the impact on data, o APIs and API Gateways this section looks at methodologies and AUDIENCE o Self-service mobile apps technology requirements needed to CDOs, CIO’s, IT Managers, CTOs, integrating with enterprise govern data in the more complex data Business Analysts, data scientists, BI applications landscape that has emerged from Managers, data warehousing o Social network integration with digitalisation. It discusses the importance professionals, enterprise architects, data of: architects enterprise applications  A data governance operating o SQL-on-Hadoop, NewSQL, across multiple analytical data model Streaming SQL access and data stores  A methodology for bringing data virtualisation  New methodologies for managing under control  Data flows - How does it all fit semi-structured and unstructured  The importance of a common together? data vocabulary  Introducing an information catalog  Data management technology ESTABLISHING A DATA to see and govern data across requirements to govern data in a STRATEGY FOR THE DIGITAL multiple data stores both on- distributed data landscape ENTERPRISE premises and in the cloud In this session we look at how you can  Organising to be data driven with KEY TECHNOLOGY implement a data strategy that produces an information supply chain, COMPONENTS IN A MODERN trusted governed data to deliver real information producers and DATA ARCHITECTURE value in a digital enterprise. In information consumers This session looks in detail at the key particular, we look at using data and  Using an information catalog and technology components of a modern data management to improve business advanced analytics to accelerate data architecture that are needed to profitability. data ingestion and data discovery consistently manage data across cloud  Producing trusted data and insights and on-premises systems. It also looks at With respect to enabling your data as a service inside the enterprise how they fit together in a modern data strategy to reduce cost we look at:  Accelerating time to value using architecture both self-service data preparation  Using master data management to and IT ETL processing on the same  Operational data stores improve business process efficiency projects o Classic Relational DBMSs across cloud and on-premises  Simplifying data access to data and o NoSQL DBMSs applications insights in a logical data lake using o NewSQL DBMSs  Using data virtualisation to see data virtualisation to create a  Analytical data stores hybrid across business processes logical data warehouse o Analytical Relational DBMSs  Using data virtualisation to rapidly  Creating an integrated single customer view to improve o GPU RDBMSs deliver commonly understood, trusted data to customers, partners customer interaction, customer o Hadoop suppliers and employees accessing retention and growth o NoSQL Graph DBMSs core processes via mobile  Integrating customer data and  Master Data Management applications insights as a service into all front-  Data Management in a Cloud  Using data virtualisation to rapidly office channels to create an omni- Computing Environment provide customer centricity in channel front office offering

o Cloud-based data storage e.g. companies with lines of business personalised insight, Amazon S3, Azure Storage, organised around products and recommendations and, dynamic Openstack Swift services pricing o Cloud RDBMSs  Using data virtualisation to reduce  Managing data governance across o Data warehousing with cloud- cost of ownership, improve agility cloud and on-premises data based analytical databases and and modernise your data o cloud BI warehouse o Data privacy o Big Data in the cloud  Implementing integration platform- o Data access security o MDM in the cloud as-a-service (iPaaS) software to o Data lifecycle management  Streaming data technologies: enable hybrid application and o Apache Kafka, Amazon Kinesis, process integration across multiple o End-to-end data governance in Apache Storm, Spark Structured clouds and on-premises systems a logical data lake using an  Streaming, Apache Flink, Using iPaaS to enable MDM in the information catalog, cloud Commercial streaming engines, classification, tagging and policy  Using streaming analytics for  Enterprise Data Management management operational optimisation Platforms and information catalogs o Policy enforcement and Classic ETL o verification o Self-service data preparation With respect to enabling your data strategy to grow revenue and improve o Data management service APIs customer engagement we look at:  Data Virtualisation

 SQL options in a modern data  The analytical ecosystem architecture  Implementing a logical data lake to

accelerate trusted data production PRESENTER

Mike Ferguson is Managing Director of Intelligent Business Strategies Limited. As an analyst and consultant he specialises in data management and analytics. With over 38 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, and chairman of the CDO Exchange. Formerly he was a principal and co-founder of Codd and Date Europe Limited – the inventors of the , a Chief Architect at Teradata on the Teradata DBMS and European Managing Director of Associates. He teaches popular master classes in Analytics, Big Data, Data Governance & MDM, and Data Lake operations.

ONSITE TRAINING

All training can be given as onsite education, tailored to your company’s requirements. For further details please contact us at [email protected]

Tel/Fax: (+44) 1625 520700 [email protected] https://www.intelligentbusiness.biz