Optimising Your Big Data Ecosystem

2019-10-24T04:48:58+00:00Categories: Predictive Analytics & AI, Data Science Level 2, Data Science Curriculum Electives, Executive Curriculum Electives, Innovation & Tech (CTO) Level 2, Stephen Brobst, Data Engineering Curriculum, Data Management, Innovation & Tech (CTO) Curriculum, Executive Level 2, Infrastructure & Technologies, AI Engineering Curriculum, Big Data, Data Engineering Level 1, AI Engineering Level 1, All Academy Courses|Tags: , , , , |

Big Data exploitation has the potential to revolutionise the analytic value proposition for organisations that are able to successfully harness these capabilities. However, the architectural components necessary for success in Big Data analytics are different than those used in traditional data warehousing. This workshop will provide a framework for Big Data exploitation along with recommendations for architectural deployment of Big Data solutions.

Social Network Analysis: Practical Use Cases and Implementation

2019-10-24T04:51:00+00:00Categories: Data Governance Level 2, Predictive Analytics & AI, Data Culture Electives, Innovation & Tech (CTO) Curriculum Electives, Data Science Curriculum, Data Governance Curriculum Electives, Executive Curriculum Electives, Marketing, Data Science Level 1, Data Culture Level 2, Innovation & Tech (CTO) Level 2, Fraud and Security, Stephen Brobst, Data Management, Executive Level 2, AI Engineering Curriculum, Big Data, AI Engineering Level 2, All Academy Courses|Tags: , , , |

Social networking via Web 2.0 applications such as LinkedIn and Facebook has created huge interest in understanding the connections between individuals to predict patterns of churn, influencers related to early adoption of new products and services, successful pricing strategies for certain kinds of services, and customer segmentation. We will explain how to use these advanced analytic techniques with mini case studies across a wide range of industries including telecommunications, financial services, health care, retailing, and government agencies. 

Capacity Planning for Enterprise Data Deployment

2019-10-24T04:51:48+00:00Categories: Innovation & Tech (CTO) Curriculum Electives, Data Governance Curriculum Electives, Executive Curriculum Electives, Stephen Brobst, Data Engineering Curriculum, Data Governance Level 1, Data Management, Infrastructure & Technologies, AI Engineering Curriculum, Data Engineering Level 1, AI Engineering Level 1, Executive Level 1, All Academy Courses|Tags: , , , |

This workshop describes a framework for capacity planning in an enterprise data environment. We will propose a model for defining service level agreements (SLAs) and then using these SLAs to drive the capacity planning and configuration for enterprise data solutions. Guidelines will be provided for capacity planning in a mixed workload environment involving both strategic and tactical decision support. Performance implications related to technology trends in multi-core CPU deployment, large memory deployment, and high density disk drives will be described. In addition, the capacity planning implications for different approaches for data acquisition will be considered.

Real-Time Analytics Development and Deployment

2019-10-24T04:50:30+00:00Categories: Executive Curriculum Adv Electives, Data Governance Adv Electives, Data Science Curriculum Advanced Electives, Innovation & Tech (CTO) Adv Electives, Stephen Brobst, Data Engineering Curriculum, Data Management, AI Engineering Curriculum, Data Science Level 3, Big Data, Data Engineering Level 1, AI Engineering Level 1, All Academy Courses, Data Governance Level 3, Executive Level 3, Innovation & Tech (CTO) Level 3|Tags: , , , , , |

Real-time analytics is rapidly changing the landscape for deployment of decision support capability. The challenges of supporting extreme service levels in the areas of performance, availability, and data freshness demand new methods for data warehouse construction. Particular attention is paid to architectural topologies for successful implementation and the role of frameworks for Microservices deployment. In this workshop we will discuss evolution of data warehousing technology and new methods for meeting the associated service levels with each stage of evolution.

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