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

ELEKS

ELEKS is a trusted global organization that provides offshore, full-cycle, software product engineering services, from ideation to finished products. Since 1991, we’ve been helping businesses innovate and build advanced software products that matter, leveraging technologies such as Data Analytics, the Internet of Things, mobile applications and wearables.

OTHER WHITEPAPERS
news image

Ventana Research Data Platforms Value Index 2023

whitePaper | January 18, 2023

Ventana Research performed this research and analysis independently. Our goals were to determine the Value Index for Data Platforms and to evaluate vendors and products in accordance with the Ventana Research methodology and blueprint. We charged no fees for this research and invited to participate all vendors that are delivering relevant data platform products and services. This report includes products generally available as of September 30, 2022.

Read More
news image

Top 6 use cases for a self-sustainable Contact Center powered by Connected Data

whitePaper | August 10, 2022

Connected Data, though used synonymously with Big Data, is carefully created and curated for storage and reference during the customer’s lifetime. As we already know, enterprises need to carefully build and store Big Data to avoid creating a data swamp. Connected Data goes a step ahead of Big Data. It is customer-specific data built in a context-sensitive framework to ensure a 360-degree view of the customer profile, purchasing habits, preferences, etc., at a glance.

Read More
news image

Implementing a Modern Data Catalog to Power Data Intelligence

whitePaper | August 9, 2022

This report shows you how a data catalog can help you easily find and then use the data you need.

Read More
news image

Be (More) Wrong Faster – Dumbing Down Artificial Intelligence with Bad Data

whitePaper | June 24, 2022

The reactive approach to discovering, analyzing, and correcting data quality issues in business applications has been marginally effective throughout the era of data consolidation for analytics (data warehousing, etc.) and the subsequent onset of “big data.”

Read More
news image

Data Management with Cloudera Data Platform on Dell Infrastructure

whitePaper | December 14, 2022

This white paper provides overview information for the Dell Technologies Validated Design for Data Management with Cloudera Data Platform (CDP) Private Cloud Base, for deployment on Dell PowerEdge servers, PowerSwitch networking, and PowerScale storage.

Read More
news image

BARC Score Enterprise BI & Analytics Platforms

whitePaper | August 12, 2021

This BARC Score report will evaluate BI & analytics platforms on a range of features, from data visualization capabilities to semantic modeling abilities, performance and speed to automation capabilities.

Read More

Spotlight

ELEKS

ELEKS is a trusted global organization that provides offshore, full-cycle, software product engineering services, from ideation to finished products. Since 1991, we’ve been helping businesses innovate and build advanced software products that matter, leveraging technologies such as Data Analytics, the Internet of Things, mobile applications and wearables.

Events