Amazon Web Services (AWS) analytics

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Amazon Web Services (AWS) analytics News

November 12, 2019 12 Nov'19
Tableau partners with AWS to release Modern Cloud Analytics

Tableau revealed an expanded partnership with AWS on Tuesday to help the vendor's on-premises users migrate their analytics operations to the cloud.
October 08, 2019 08 Oct'19
GoodData BI customers now able to use data on Amazon Redshift

GoodData partners with Amazon Web Services to allow the vendor's users to store and manage their data in Amazon Redshift, a cloud data warehouse powered by AWS.
December 01, 2017 01 Dec'17
AWS graph database Amazon Neptune sets sail at re:Invent 2017

After Cyber Monday, Amazon Web Services techies headed for re:Invent 2017. There, among a deluge of cloud product announcements by AWS, the Amazon Neptune graph database surfaced.
June 29, 2017 29 Jun'17
Data analytics tool for data scientists goes beyond BI visualization

A new breed of data analytics tool for data scientists aims to deliver far more than BI software, including predictive analytics and exploratory analytics.

Amazon Web Services (AWS) analytics Get Started

Bring yourself up to speed with our introductory content

Avoid turbulence when shifting to data analytics in the cloud

When migrating BI and data analytics to the cloud, factor existing analytics processes, software evaluation, data protection and cost controls into a thoughtful plan of action. Continue Reading
Cloud big data clusters test users on migration, management

There are good reasons to move big data systems to the cloud, but doing so also poses challenges for IT teams on migrating workloads and then managing clusters and system instances. Continue Reading
Cloud-based BI and analytics systems start taking a firmer shape

As cloud computing becomes more common, there are signs that companies increasingly are looking at whether cloud BI and analytics applications should be part of their IT plans. Continue Reading

Evaluate Amazon Web Services (AWS) analytics Vendors & Products

Weigh the pros and cons of technologies, products and projects you are considering.

Upswing in cloud business intelligence spawns migration issues

More organizations are looking to run BI and analytics applications in the cloud. This handbook offers insights into moving on-premises BI systems to cloud environments. Continue Reading
Amazon Neptune database validates graph technology, rivals say

Amazon's Neptune database may change the status quo in the graph technology world. But it could also introduce a wider base of possible users to graph databases, existing vendors say. Continue Reading
Machine learning platforms comparison: Amazon, Azure, Google, IBM

The platform war over machine learning tools is heating up. Use our features comparison chart to see how four top vendors stack up and help you decide which is right for your enterprise. Continue Reading

Manage Amazon Web Services (AWS) analytics

Learn to apply best practices and optimize your operations.

Information Builders CEO on cloud-first approach, machine learning

Information Builders' new CEO, Frank Vella, said the company's focus on cloud and machine learning will help it solidify a firm position in today's BI and analytics market. Continue Reading
Rules change for self-service BI subscription pricing models

As self-service BI tools become commonplace, look for subscription pricing models to change according to the cloud, group data usage pricing and how people share their data. Continue Reading
Managing the big data ecosystem requires agility amid disruptions

In some regards, the term big data management can be viewed as an oxymoron. In fact, oxymorons abound in this industry and society -- virtual reality, artificial intelligence, science fiction and awfully good, the ... Continue Reading

Problem Solve Amazon Web Services (AWS) analytics Issues

We’ve gathered up expert advice and tips from professionals like you so that the answers you need are always available.

The pros and cons of Analytics as a Service

Analytics as a Service can reduce time and cost of data analysis for enterprises. However, relying on black-box analysis can be a risky proposition. Continue Reading