Big data analytics is an essential tool in understanding and driving today’s combined online and physical business world. However, there exists considerable confusion about how traditional business data (e.g. POS, inventory, shipping, etc.) can be combined with modern digital data sources. Add the reality of a still evolving technological environment, and the outcome is confusion for many aspiring analysts. The aim of this paper is to demystify the situation. (more…)
Business and IT are facing the challenge of getting real and urgent value from ever-expanding information sources. Building independent silos of big data analytics is no longer enough. True progress comes only by integrating data from traditional operational and informational sources with the new sources that are becoming available, whether from social media or interconnected machines.
In this webinar, Dr. Barry Devlin describes the thinking, architecture, tools and methods needed to achieve a new joined-up, comprehensive data environment.
The rapidly emerging Internet of Things presents enormous opportunities for data warehousing and analytics. It also presents a number of challenges. Both aspects are addressed head-on by Teradata’s embedding of JSON in its flagship database product.
Although much of the popular market attention has focused on the devices on the Internet of Things, the real monetary value emerges from the businessâ€™ ability to effectively use the data they generate and on ITâ€™s skill at capturing, storing and managing it. This paper explores the uses and challenges of the Internet of Things, drawing on examples of business use cases, and positions the data processing needs in the context of traditional data warehousing, big data and cloud computing. It also describes a new managed service cloud offering, Treasure Data, which is structured rather like a traditional three-stage data warehouse. (more…)
The second annual EMA / 9sight Big Data online survey addressed 259 business intelligence and data management professionals, including almost 600 projects, and was designed to identify the key trends surrounding the adoption, expectations and challenges connected to Big Data. This report summarizes the findings. (more…)
Collecting and using machine-generated data as name-value pairs is often seen as demanding Hadoop or other NoSQL tools. This paper shows how it can be effectively done in a relational database, based on work done at eBay. (more…)