BIG DATA TECHNOLOGY
Insurance Analytics Makes An Impact
Definitely. Although the insurance industry has been slow to adopt big data analytics (BDA) methods, early user evidence shows that the rewards for using it are substantial. For example companies are using BDA to: Become more competitive. As insurance becomes a...
Wrestling with Big Data? Try This Tag Team: Hadoop and Spotfire
Companies seldom extract value from the ocean of largely unstructured data stored on their servers. Why? The volume of unused data is too large to handle in a timely way. Or, the tools that can handle it aren’t available or affordable. And...
Streamlined Data Reporting without Pain [Case Study]
Let’s face it. Reporting data from many sources is a fact of modern data management life. But it’s also a cumbersome, frustrating process that’s full of delays. Finding, analyzing and reporting on disparate data often takes too much time and effort. Business managers...
Big Data Analytics Goes to Work: Hortonworks
Here’s another example of enterprises extracting value from otherwise dormant data. This time, Hadoop-based Hortonworks software is in the spotlight. A Modern Solution to a Unique Business Problem Luminar, a unit of Entravision Communications Corporation, is a data...
Using Hadoop to Analyze Security Logs
Over the past week we have been creating an infrastructure for long-term log data storage. This data could be any form of unstructured streaming text data, and in our case, we used Apache log data. Project Setup For this project, we have set up three machines: a web...
Hadoop Data Lakes and Traditional EDW Go Head to Head
The traditional warehouse approach to data management is to use standard ETL tools that ingest data from different sources and stage it in the traditional relational databases. After staging, analysts use ETL to massage and prepare the data for reports to business...