{"id":3897,"date":"2012-05-09T12:00:55","date_gmt":"2012-05-09T11:00:55","guid":{"rendered":"http:\/\/www.markwilson.co.uk\/blog\/?p=3897"},"modified":"2012-09-18T16:20:36","modified_gmt":"2012-09-18T15:20:36","slug":"big-data-according-to-the-oracle","status":"publish","type":"post","link":"https:\/\/www.markwilson.co.uk\/blog\/2012\/05\/big-data-according-to-the-oracle.htm","title":{"rendered":"Big data according to the Oracle"},"content":{"rendered":"

After many years of working mostly with Microsoft infrastructure products, the time came for me to increase my breadth of knowledge and, with that, comes the opportunity to take a look at what some of the other big players in our industry are up to. \u00a0Last year, I was invited to attend the Oracle UK User Group Conference where I had my first experience of the world of Oracle applications; and last week I was at the Oracle Big Data and Extreme\u00a0Analytics\u00a0Summit in Manchester, where Fujitsu was one of the sponsors (and an extract from one of my white papers<\/a> was in the conference programme).<\/p>\n

It was a full day of presentations and I’m not sure that reproducing all of the content here makes a lot of sense, so here’s an attempt to summarise it… although even a summary could be a long post…<\/p>\n

Big data trends, techniques and opportunities<\/h3>\n

Tim Jennings (@tjennings<\/a>) from Ovum set the scene and explained some of the ways in which big data has the potential to change the way in which we work as businesses, citizens and consumers (across a variety of sectors).<\/p>\n

Summing up his excellent overview of big data trends, techniques and opportunities, Tim’s key messages were that:<\/p>\n

    \n
  1. Big data is characterised by volume, variety and velocity [I’d add value to that list].<\/li>\n
  2. Big data represents a change in the mentality of analytics, away from precise analysis of well-bound sources to rough-cut exploratory analysis of all the data that’s practical to aggregate.<\/li>\n
  3. Enterprise should identify business cases for big data and the techniques and processes required to exploit them.<\/li>\n
  4. Enterprises should review existing business intelligence architectures and methods and plan the evolution towards a broader platform capable of handling the big data lifecycle.<\/li>\n<\/ol>\n

    And he closed by saying that “If you don’t think that big data is relevant to your organisation, then you are almost certainly missing an opportunity that others will take.”<\/p>\n

    Some other points I picked up from Tim’s presentation:<\/p>\n