Home > Resources > Whitepapers > Graph Analytics and Big Data

Graph Analytics and Big Data

May 2, 2019

Graph analytics, which is an analytics alternative that uses an abstraction called a graph model. The simplicity of this model allows for rapidly absorbing and connecting large volumes of data from many sources in ways that finesse limitations of the source structures (or lack thereof, of course). Graph analytics is an alternative to the traditional data warehouse model as a framework for absorbing both structured and unstructured data from various sources to enable analysts to probe the data in an undirected manner. Big data analytics systems should enable a platform that can support different analytics techniques that can be adapted in ways that help solve a variety of challenging problems. This suggests that these systems are high performance, elastic distributed data environments that enable the use of creative algorithms to exploit variant modes of data management in ways that differ from the traditional batchoriented approach of traditional approaches to data warehousing

Spotlight

Autotegrity Inc

Autotegrity is a data analytics and quantitative marketing company that runs an automotive shopping service connecting consumers with auto dealers. We help consumers find the vehicle that is right for them, while also helping dealerships find highly qualified, locally targeted customers. Our rigorous approach to data, along with our proprietary analytics system and search marketing platform are helping us redefine the lead buying process in the automotive space…

OTHER WHITEPAPERS

Your 2022 Executive Guide to Data Science and AI

whitePaper | July 8, 2022

This series of white papers lays out the essential steps you need to take to ensure your business stays at the forefront of an increasingly data-driven and automated world. We cover everything you need to know about growing a data science team, the current trends in machine learning, data visualisation, essential data science tools and technologies, automation, deployment, how to prove value with data science and also give our thoughts on the next ‘big ideas’ that are set to take the world of AI in business by storm.

Top 5 Trends in Data & BI Governance

whitePaper | August 19, 2022

Metric Insights recently partnered with Donna Burbank on a webinar on trends for Data & BI governance in 2022. Burbank is the managing director at Global Data Strategy, Ltd., an international information management consulting company that specializes in the alignment of business drivers with data-centric technology.

Active Data Governance Methodology

whitePaper | February 10, 2022

Modern data governance leaders are searching for the role that governance should play in delivering high-quality data.

Logical Data Fabric

whitePaper | December 27, 2022

In this whitepaper we will define “data fabric,” look at different implementation strategies, and highlight the value of a logical approach. The paper will delve more deeply into the technical architecture of a logical data fabric and the key components to build a successful one, including the role played by artificial intelligence (AI) and data virtualization.

Self-Service Data Intelligence

whitePaper | September 20, 2022

Self-service is without question no longer an option for successful businesses. Find out how Alation can accelerate data-driven decisions with our Self-Service Data Intelligence white paper.

Big Data Analytics and privacy & data protection

whitePaper | August 31, 2022

The rise of Big Data and Data Analytics provides great opportunities for organizations to realize new ways of doing business and will give a significant increase in added value. Organizations that do not ‘catch the Big Data Analytics train’ run the risk of falling behind. According to the European Commission1 the value of European citizens’ personal data has the potential to grow to nearly € 1 trillion a year by 2020.

Graph Analytics and Big Data