History of Business Intelligence

The term “business intelligence” has been around for decades, but it was first used as it is today by Howard Dresner in 1988.Dresner defined business intelligence as the “concepts and methods to improve business decision making by using fact-based support systems.”Today, bu ...

Top 11 Business Intelligence and Analytics Trends for 2017

Over the past decade business intelligence has been revolutionized. Data exploded, and became big. We all gained access to the cloud. Spreadsheets finally took a backseat to actionable and insightful data visualizations and interactive business dashboards. The rise of self-service analytic ...

Big Data Analytics Checklist

Big data poses a difficult challenge for traditional business intelligence (BI) tools. Most were not designed to handle terabytes to petabytes of data or run against legacy systems as well as the growing number of purpose-built databases and file systems that don't use ...

5 data and analytics trends that will dominate 2017

Along with social, mobile and cloud, analytics and associated data technologies have earned a place as one of the core disruptors of the digital age. 2016 saw big data technologies increasingly leveraged to power business intelligence. Here's what 2017 holds in store for the data and analy ...

Big Data Analytics – Advanced Analytics in Oracle Database

Whether its fine-tuning supply chains, monitoring shop floor operations, gauging consumer sentiment, or any number of other large-scale analytic challenges, big data is having a tremendous impact on the enterprise. The amount of business data that is generated has risen steadily every year ...

Apache Flink: The Next Gen Big Data Analytics Framework

Apache Flink is an Apache project for Big Data processing. Although it looks like Apache Spark, there are a lot of differences in both their architecture and ideas. The defining hallmark of Apache Flink is the ability to process streaming data in real time. Apache Spark is considered to be ...