Tableau Software (NYSE: DATA) announced that it has delivered new APIs that make it possible for developers to build new experiences for its customers and extend the possibilities of Tableau.
Tableau Delivers APIs for Developers to Create New Experiences with Data Analytics
October 25, 2016 by Leave a Comment
What Does the Future Hold for Big Data Analytics?
October 22, 2016 by Leave a Comment
In this contributed article, tech writer Linda Gimmeson take a close look at the potential growth of big data analytics and the top 4 industries that may benefit from it.
Big Data Analytics Meets Big Data
September 1, 2016 by Leave a Comment
Wal-Mart handles more than a million customer transactions each hour and imports those into databases estimated to contain more than 2.5 petabytes of data. The explosion of data isn’t new. It continues a trend that started in the 1970s . What has changed is the velocity of growth, the diversity of the data and the imperative to make better use of information to transform the business. The hopeful vision of big data is that organizations will be able to harvest and harness every byte of relevant data and use it to make the best decisions. Learn more from this while paper.
Big Data Analytics: Ericsson
September 1, 2016 by Leave a Comment
Analytics-generated insights are increasingly driving successful decision-making for communication service providers (CSPs). From network enablers to business support systems, there are opportunities to utilize insights gathered from careful analysis of network data.
Big data is at the core of this opportunity. But the traditional technology view of big data is not enough. Rather than focusing on big data technology, CSPs should start from the business value they want to create and apply extensive telecom competence to understand how the relevant insights can be extracted from raw data before applying big data techniques as needed.
Government Change Through Data Analytics
September 1, 2016 by Leave a Comment
When used effectively, data analytics can help to save lives, improve efficiencies, reduce costs, and help government deliver better citizen services. This special GovLoop report explores how data analytics is changing Government.
Business Analytics-as-a-Service
September 1, 2016 by Leave a Comment
This white paper examines how EMC solved these challenges by transforming IT and the business with analytics as a service, a new approach that unlocks the value of Big Data.
Teradata Cloud: Analytics in Action
September 1, 2016 by Leave a Comment
This paper documents the experiences of nine Teradata Cloud customers based on anonymous interviews with knowledgeable persons. The table below lists the companies, along with their specific challenges.
Spectrum Scale Solution: IBM vs EMC
September 1, 2016 by Leave a Comment
When considering enterprise storage software options, IT managers constantly strive to find the most efficient, scalable, and high performance solutions that solve today’s storage performance and scalability challenges, while future-proofing their investment to handle new workloads and data types. Enterprise backup solutions can be particularly vulnerable to issues stemming from poor network performance to the storage array(s), and are often not designed with the scalability demanded by rapidly changing enterprise environments.
Big Data Analytics: IBM
September 1, 2016 by Leave a Comment
Businesses are discovering the huge potential of big data analytics across all dimensions of the business, from defining corporate strategy to managing customer relationships, and from improving operations to gaining competitive edge. The open source Apache Hadoop project, a software framework that enables high-performance analytics on unstructured data sets, is the centerpiece of big data solutions. Hadoop is designed to process data-intensive computational tasks, in parallel and at a scale, that previously were possible only in high-performance computing (HPC) environments.
Analytical Strength Using Aster Analytics
September 1, 2016 by Leave a Comment
The biggest challenge for most organizations is to increase their analytical strength. This analytical strength can help the organizations to uncover new business insights. To make data science affordable for every organization and to deploy data science across the entire organization and not only by the high priests of data science, other disciplines must be involved.
