News on Three Big Data Webcasts with Oracle, and a Customer Case-Study at Cloudera Sessions

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This week I’m presenting along with Liberty Global at the Cloudera Sessions event in Amsterdam on October 15th 2015, on their implementation of Cloudera Enterprise on Oracle Big Data Appliance for a number of big data and advanced analytics initiatives around their cable TV, mobile and internet business.

We’ve been working with Liberty Global for a number of years and helped them get started with their move into big data a year or so ago, and it’s great to see them speaking at this Cloudera event and the success they’ve had with this joint Oracle+Cloudera platform. Andre Lopes and Roberto Manfredini from Liberty Global will talk about the business drivers and initial PoC scenario that then paid for the first main stage of the project, and I’ll talk about how we worked with their implementation team and senior managers to implement Cloudera’s enterprise Hadoop platform on Oracle engineered systems. 

Rittman Mead and Oracle Big Data Webcast Series - November 2015

We’re also running a set of three webcasts together with Oracle on three use-cases for big data in an Oracle context. The sessions will run over three weeks  in November 2015 and will look at three ways we’re seeing Rittman Mead big data customers use the platform to extend the storage and capabilities of their data warehouse, creating repositories and analysis sandpits for customer behaviour analysis, and taking data discovery into the Hadoop era using Big Data Discovery.

All events are free to attend, we’re timing them to suit the UK,Europe and the US, and details of each webcast are as follows:

Extending and enhancing your Data Warehouse to address Big Data

Organizations with data warehouses are increasingly looking at big data technologies to extend the capacity of their platform, offload simple ETL and data processing tasks and add new capabilities to store and process unstructured data along with their existing relational datasets. In this presentation we'll look at what's involved in adding Hadoop and other big data technologies to your data warehouse platform, see how tools such as Oracle Data Integrator and Oracle Business Intelligence can be used to process and analyze new "big data" data sources, and look at what's involved in creating a single query and metadata layer over both sources of data.

Audience: DBAs, DW managers, architects 
Tuesday 3rd November, 15:00 – 16:00 GMT / 16:00 – 17:00 CET - Click here to register

Audience : DBAs, DW managers, architects 

What is Big Data Discovery and how does it complement traditional Business Analytics?

Data Discovery is an analysis technique that complements traditional business analytics, and enables users to combine, explore and analyse disparate datasets to spot opportunities and patterns that lie hidden within your data. Oracle Big Data discovery takes this idea and applies it to your unstructured and big data datasets, giving users a way to catalogue, join and then analyse all types of data across your organization. At the same time Oracle Big Data Discovery reduces the dependency on expensive and often difficult to find Data Scientists, opening up many Big Data tasks to “Citizen” Data Scientists.

In this session we'll look at Oracle Big Data Discovery and how it provides a "visual face" to your big data initiatives, and how it complements and extends the work that you currently do using business analytics tools.

Audience : Data analysts, market analysts, & Big Data project team members 
Tuesday 10th November, 15:00 – 16:00 GMT / 16:00 – 17:00 CET - Click here to register

Adding Big Data to your Organization to create true 360-Degree Customer Insight

Organisations are increasingly looking to "big data" to create a true, 360-degree view of their customer and market activity. Big data technologies such as Hadoop, NoSQL databases and predictive modelling make it possible now to bring highly granular data from all customer touch-points into a single repository and use that information to make better offers, create more relevant products and predict customer behaviour more accurately.

In this session we'll look at what's involved in creating a customer 360-degree view using big data technologies on the Oracle platform, see how unstructured and social media sources can be added to more traditional transactional and customer attribute data, and how machine learning and predictive modelling techniques can then be used to classify, cluster and predict customer behaviour.

Audience : MI Managers, CX Managers, CIOs, BI / Analytics Managers
Tuesday 24th November, 15:00 – 16:00 GMT / 16:00 – 17:00 CET – Click here to register


Organisations are increasingly looking to "big data" to create a true, 360-degree view of their customer and market activity. Big data technologies such as Hadoop, NoSQL databases and predictive modelling make it possible now to bring highly granular data from all customer touch-points into a single repository and use that information to make better offers, create more relevant products and predict customer behaviour more accurately.
In this session we'll look at what's involved in creating a customer 360-degree view using big data technologies on the Oracle platform, see how unstructured and social media sources can be added to more traditional transactional and customer attribute data, and how machine learning and predictive modelling techniques can then be used to classify, cluster and predict customer behaviour.
Tuesday 24th November, 15:00 – 16:00 GMT / 16:00 – 17:00 CET – Register for Customer Insight

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