By Milomir.Vojvodic-Oracle on Nov 16, 2015
https://www.youtube.com/watch?v=xWsQpausagc - the link where you can watch extensive video on Oracle Data Integration For Big Data or Oracle Big Data Integration
Data Integration For Big Data contains relevant importance for OPN. Having Big Data skills means more than simply employing a few data scientists. If they cannot be filled with top-level talent, it brings certain risk to the organization's performance. Also, it's not only about analysis of data, we should not ignore technology skills for deploying and optimizing big data infrastructure. Here is the role of external service providers to cover modelling, business glossary development, consulting, systems integration. Vertically oriented software and services remain vitally important in enabling users to set up and maintain Big Data platform, and these can be built by the partner's deep domain knowledge and expertise with relevant industry-specific applications and tools.
Big data integration management is essential to any organization that wants to make serious headway in their decision making culture. Data is being generated in all forms, from various traditional and non-traditional sources to provide competitive advantages.
Data Integrator for Big Data brings speed, ease of use and trust, addressing
this growing need in the market by providing a future proof, powerful platform
to build your enterprise around its Data Management framework.
A flexible and heterogeneous data integration platform for big data processing that enables you to transform, enrich, and govern raw data for faster, more informed decision-making.
Oracle GoldenGate for Big Data streams transactional data into big data systems in real time, raising the quality and timeliness of business insights. Its non-invasive, secure, reliable, and fault-tolerant solution while being easy to install, configure, and maintain. Easily extensible to support other big data targets and message queues.
Oracle Big Data Preparation Cloud Service (BDP) addresses minimizing data preparation time is the key to unlocking the potential of Big Data. The reality is that 90% of the time in Big Data projects is really spent on data preparation. Data may be structured, but more often it will be semi-structured such as weblogs, or fully unstructured such as free form text. The content is vast, inconsistent, and incomplete, often off topic, and from multiple differing formats and sources. In this environment each new dataset takes weeks or months of effort to process.