Big Data Training | Short Courses| Page 2 of 2

big data – extremely large data sets that may be analysed computationally to reveal patterns, trends, and associations, especially relating to human behaviour and interactions. These data sets are typically growing exponentially.
“much IT investment is going towards managing and maintaining big data”

Big data training is around methods, software and platforms that provide ways to analyze, systematically extract information from, or otherwise deal with data sets that are too large or complex to be dealt with by traditional data-processing application software.

Cost-Based Optimisation: Obtaining the Best Execution Plan for Complex Queries

2021-07-23T01:00:08+00:00May 20th, 2019|Tags: Workshop, Tech, Expert, Stephen Brobst|

Optimiser choices in determining the execution plan for complex queries is a dominant factor in the performance delivery for a data foundation environment. The goal of this workshop is to de-mystify the inner workings of cost-based optimisation for complex query workloads. We will discuss the differences between rule-based optimisation and cost-based optimisation with a focus on how a cost-based optimization enumerates and selects among possible execution plans for a complex query. The influences of parallelism and hardware configuration on plan selection will be discussed along with the importance of data demographics. Advanced statistics collection is discussed as the foundational input for decision-making within the cost-based optimiser. Performance characteristics and optimiser selection among different join and indexing opportunities will also be discussed with examples. The inner workings of the query re-write engine will be described along with the performance implications of various re-write strategies.

Optimising Your Big Data Ecosystem

2021-07-23T01:02:03+00:00May 18th, 2019|Tags: Expert, Stephen Brobst, Workshop, Tech, Management|

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.

Agile Data Management Architecture

2021-07-23T00:57:04+00:00May 18th, 2019|Tags: Stephen Brobst, Workshop, Tech, Expert|

This full-day workshop examines the trends in analytic technologies, methodologies, and use cases. The implications of these developments for deployment of analytic capabilities will be discussed with examples in future architecture and implementation. This workshop also presents best practices for deployment of next generation analytics.

Social Network Analysis: Practical Use Cases and Implementation

2021-07-23T01:03:21+00:00May 13th, 2019|Tags: Non-tech, Expert, Workshop, Business|

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.

Real-Time Analytics Development and Deployment

2021-07-23T01:02:51+00:00May 31st, 2019|Tags: Management, Business, Expert, Tech, Workshop, Stephen Brobst|

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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Big Data

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