While cloud service adoption is sky-rocketing, we all still face the challenge of squaring off this new evolution of services against the ingrained mindsets and obvious capabilities of the on-premises software world. In this session we'll examine the in's and out's, strengths and weaknesses, of extending Oracle Public Cloud services to mesh these two paradigms…

With structured and legacy data in Relational databases, there is need to consider a Hadoop cluster for handling data growth, and generating Analytics. One option is to buy an Engineered system, but even the most low end offerring might be beyond the budget of most IT shops. One option is to build a cluster using commodity hardware and Cloudera…

With structured and legacy data in Relational databases, there is need to consider a Hadoop cluster for handling data growth, and generating Analytics. One option is to buy an Engineered system, but even the most low end offerring might be beyond the budget of most IT shops. One option is to build a cluster using commodity hardware and Cloudera…

With structured and legacy data in Relational databases, there is need to consider a Hadoop cluster for handling data growth, and generating Analytics. One option is to buy an Engineered system, but even the most low end offerring might be beyond the budget of most IT shops. One option is to build a cluster using commodity hardware and Cloudera…

With structured and legacy data in Relational databases, there is need to consider a Hadoop cluster for handling data growth, and generating Analytics. One option is to buy an Engineered system, but even the most low end offerring might be beyond the budget of most IT shops. One option is to build a cluster using commodity hardware and Cloudera…

With structured and legacy data in Relational databases, there is need to consider a Hadoop cluster for handling data growth, and generating Analytics. One option is to buy an Engineered system, but even the most low end offerring might be beyond the budget of most IT shops. One option is to build a cluster using commodity hardware and Cloudera…

With structured and legacy data in Relational databases, there is need to consider a Hadoop cluster for handling data growth, and generating Analytics. One option is to buy an Engineered system, but even the most low end offerring might be beyond the budget of most IT shops. One option is to build a cluster using commodity hardware and Cloudera…

So you’ve heard about the major new features of Oracle BI 12c, including Visual Analyzer, Data Mashups, and BI Ask, but what’s it *really* like to upgrade to BI 12c?  How do you ensure that the upgrade process goes smoothly?  Sure, VA looks exciting, but what about the library of dashboards and analyses you’ve built…

Over the past seven years we've seen what is clearly a 3rd era in database management as the relational database  hegemony has given way to a diverse set of alternatives including Hadoop, Spark, HBase, Cassandra and MongoDB, augmented by technologies such as Kafka, Drill and others.   But these next generation data platforms are mutating rapidly: we're on a journey - but…

Over the past seven years we've seen what is clearly a 3rd era in database management as the relational database  hegemony has given way to a diverse set of alternatives including Hadoop, Spark, HBase, Cassandra and MongoDB, augmented by technologies such as Kafka, Drill and others.   But these next generation data platforms are mutating rapidly: we're on a journey - but…