Last updated : May 22, 2013
NOT ON THE CURRENT EDITION
This blip is not on the current edition of the Radar. If it was on one of the last few editions, it is likely that it is still relevant. If the blip is older, it might no longer be relevant and our assessment might be different today. Unfortunately, we simply don't have the bandwidth to continuously review blips from previous editions of the Radar.
Understand more
May 2013
Trial
Worth pursuing. It is important to understand how to build up this capability. Enterprises should try this technology on a project that can handle the risk.
The amount of data that even a relatively low volume website can generate is huge. Once you add in analytics, business metrics, demographics, user profiles and multiple devices, it can become overwhelming. Many organizations use data warehouses as a repository with data being sucked in from all parts of the organization. The challenge here is that these often turn into “Data Fortresses.” Even getting timely business metrics becomes a challenge, let alone running exploratory queries across the entire data set. Technologies like the cloud based BigQuery help. The pay-as-you-go model and the ability to do ad hoc queries lets you gain insight without buying specialist hardware and software. A data-driven business should put data in the hands of the decision makers, not hidden behind technological barriers and bureaucracy.
Oct 2012
Assess
Worth exploring with the goal of understanding how it will affect your enterprise.
Google’s BigQuery brings data analytics to the cloud. Rather than loading data into an expensive data-warehouse with predefined indexes, BigQuery allows you to upload and investigate a data set through ad-hoc SQL-like queries. This is a great way to create a cheap proof-of-concept or even a complete application, as processing of hundreds of gigabytes of data by thousands of servers happens in seconds.
Published : Oct 22, 2012
