Analytics

3 things you should never measure in BI

When I speak to people who are thinking about implementing BI, they are often overwhelmed by all the things they could measure. Many start by wanting to measure everything, which doesn’t necessarily help them. That’s because there’s an inherent cost in measuring things – everything you report and track creates an ongoing burden that your organization has to maintain. That’s why it’s important to be selective about what you measure from the get-go.

A Brief Introduction to Yellowfin

Any Business Intelligence tool can tell you what happened, Yellowfin tells you Why. Yellowfin represents a major revolution in BI and analytics. Our end-to-end analytics platform delivers the complete BI stack – data transformation, assisted insights, and market-leading collaboration tools – so customers have one product for analytics and data transformation.

How to Develop a Data Processing Job Using Apache Beam - Streaming Pipelines

In our last blog, we talked about developing data processing jobs using Apache Beam. This time we are going to talk about one of the most demanded things in modern Big Data world nowadays – processing of Streaming data. The principal difference between Batch and Streaming is the type of input data source. When your data set is limited (even if it’s huge in terms of size) and it is not being updated along the time of processing, then you would likely use a batching pipeline.

Qlik and Big Data

There continues to be an incredible amount of interest in the topic of Big Data. It has transcended from a trend to being simply part of the current IT lexicon. For some organizations, its use has already become an operational reality; providing unprecedented ability to store and analyze large volumes of disparate data that are critical to the organization's competitive success.