Big Data - Further Information

The Cray Graph Engine is an RDF database that runs on a variety of Cray hardware platforms.

ArangoDB is a multi-model database that supports document (JSON), key-value and property graph capabilities with one database core and one declarative query language.

This is a companion paper to one we published in 2017. We outline a methodology for building a business case in support of implementing suitable data lake management software.

Trendalyze describes its core capability as the discovery of motifs (and anomalies) within time series data. You can think of a motif as a micro-pattern but it is more accurately a shape. Once a motif of interest is discovered, or…

There are many SQL on Hadoop engines, but they are suited to different use cases: this report considers which engines are best for which sets of requirements.

There are various factors needed to prevent a data lake becoming a swamp.

The purpose of this paper is to examine those issues, which arise when big data implementations transition beyond skunk works and into general-purpose use.

Before a CDO can think sensibly about what data the business might want to leverage they must get a handle on the data assets that the company already possesses.

This paper discusses why data lakes need to be managed and the sorts of capabilities that are required to manage them.

Over the last few years graph databases have been the fastest growing sector within the database market ...

This Market Report discusses the latest trends in this market, along with a detailed assessment of the leading vendors in the market

This Market Update discusses the latest trends in this market, along with our assessment of the leading vendors in the market.

This paper discusses the IBM Informix database and its suitability for deployment within Internet of Things (IoT) environments.

TCO should be more important in decision making than either license fees or subscription costs.

In this paper we will discuss why we believe that understanding the business value of data is fundamental to a successful digital transformation.

Discussing the Open Data Platform and Apache Spark

The World Forum Architecture Committee has published an IoT reference model

I often get emails from vendors talking about a whitepaper or other sales document. Sometimes these are very useful simple guides to a subject.

IBM is in the vanguard for what it calls an enhanced 360° view and it is clearly well positioned to capitalise on the future growth of this market.

In this paper we will discuss why we believe that extending the traditional 360° view makes sense and we will give some uses that demonstrate why the extended it represents an opportunity.

Kdb+ is a column-based relational database with extensive in-memory capabilities, developed and marketed by Kx Systems.

There has been some significant criticism of the concept of big data recently, notably in the Harvard Business Review criticising the Google Flu Trends...

Not all of the issues addressed by big data need big data solutions

There aspects of Kognitio and its offering that are sometimes misunderstood, so I thought I should clear some things up.

The third issue for big data is ensuring that the data is secure and compliant. There are also ethical issues.

The second issue for big data is understanding the context of the data

The first issue for big data is how much you trust the data

TIBCO came to London for their user conference (transFORM2013). This year's theme was all about big data and TIBCO's senior executives outlined their strategy for their platform.

Preventative maintenance and asset optimisation are not the same thing

There's been some confusion about how exactly DB2 is supporting JSON: here's the lowdown

Further thoughts on Data Protection issues and Big Data.

Individuals' consent is 'almost always' required by firms when using personal data in big data projects centred on profiling and that's a governance issue which perhaps needs legal, as much as IT, advice

This report discusses some of the challenges of harnessing big data security and outlines some of the key considerations and capabilities that organisations should consider.

This document discusses the need for an intelligence-driven security approach and aims to provide pointers for security executives.

Varonis has published some research into big data - but just looking at the press release is misleading

Should it be called CEP? Is CEP only about real-time BI? These were questions we answered 6 years ago. Also, a mention of some Hadoop-based CEP engines.

The sort of data that is common in big data scenarios can be exploited in other ways too

The second in the series on big data

The first of a series of articles on big data (What is Hadoop? was a preface).

While real-time analytics is becoming more and more urgent for many organisations the ability to accomplish this can easily be constrained by the volume of data that needs to be analysed.

Cloudera has been the default standard for enterprise Hadoop implementation but perhaps not any longer.

There is too much confusion around the whole idea of big data