Building a Streamlined Data Refinery with Pentaho and Hadoop by Will Gorman Part 2 скачать в хорошем качестве

Building a Streamlined Data Refinery with Pentaho and Hadoop by Will Gorman Part 2

As the volume and variety of data has exploded in recent years, extracting valuable information from public and private sources (both on premises and cloud) has been a complex undertaking. Moreover, extracting value from Big Data has been a substantial challenge in and of itself, but it has been compounded by new preferences for data consumption. Basic batch reporting doesn’t cut it anymore – information consumers want analytics to access more and more data that they can explore in their favorite format on-demand, often in the context of the other software applications they use every day. In light of these circumstances, many organizations can benefit from a Streamlined Data Refinery architecture, which represents a flexible, economical way to process and automate delivery of information to large numbers of users for a variety of analytic purposes. In this presentation I will walk folks through an example streamlined data refinery and how to build it.