Tag: On-Premise BI / Analytics

Oracle's Fusion Middleware SOA suite is one of the most useful yet underutilized set of tools available to developers. To offer better services, businesses are forced to grow in complexity. As a result, integration with heterogeneous data sources and cloud services becomes necessary.  The downside of this trend is that businesses loose ability to effectively…

Simply automating your business processes is not enough. You need processes that are dynamic, and change over time based on real-time data from many data sources. Predictive analytics, machine learning, self-documenting hardware, point and click integrations, and automated regression and performance testing is the future for ERP, EPM, analytics, and integration professionals. The future is…

Oracle Database In-Memory promises an incredible performance boost for analytic queries. But how do you determine if you have an analytic workload that will benefit from Database In-Memory? This presentation will review what Database In-Memory is and how it works, and then we will talk about what types of workload will benefit from Database In-Memory.…

With growing demands from businesses for real-time, analytical capabilities, maintaining data environments that can grow with these demands is a necessity. This is pressuring data administrators to deliver responsive, high-performing systems that can scale with the business. However, many enterprises are encumbered by the licensing and support issues that typically accompany database systems, resulting in…

Oracle Database 12c is the first release to offer the capability to access a file in HDFS or HIVE format as an EXTERNAL table. Through live and recorded demonstrations, this session will explain how an Oracle DBA can leverage these new features to gather data in tabular format from these file formats while leveraging the…

Oracle Advanced Analytics 18c delivers new features and significant performance gains.   OAA new features include an unsupervised feature selection algorithm, ESA algorithm, and partitioned models.  OAA can now build machine learning models on billions of records in minutes, “score” millions of records even faster and supports real-time model deployment. Integration with R now supports R…

Fun Facts about Fraud:  #1 fraud detection method is a tip, 33% of business failures are due to theft and fraud, the median time for fraud detection is 18 months and 49% of victims do not recover their losses.  With such a significant cost, why can’t companies better combat against fraud?  Oracle’s machine learning and…

There is a fundamental shift underway in IT to include open, software defined, distributed systems like Hadoop. As a result, every Oracle professional should strive to learn these new technologies or risk being left behind. This session is designed specifically for Oracle database professionals so they can better understand SQL on Hadoop, both on-premises and…

  Apache Kafka is a massively scalable message queue used for building real-time data pipelines and streaming applications that are high-performing and fault tolerant. This presentation will introduce Kafka from the perspective of a mere mortal Oracle DBA and share the experience of (and challenges with) getting events from relational databases to Kafka. We’ll demonstrate…

The open source streaming data platform, Kafka, is taking the world by storm. In their own predictions for 2017 Oracle even asserted that “Kafka looks to be the runaway Big Data technology of 2017”. A powerful platform in its own right, Kafka is designed, from the ground up, as a fast, scalable, durable, distributed system.…