Amazon Web Services (AWS) analytics
New & Notable
Amazon Web Services (AWS) analytics News
-
December 03, 2020
03
Dec'20
Enabled by AWS, Vyaire ramps up production of ventilators
When demand for ventilators increased exponentially due to COVID-19, a developer of respirators turned to analytics tools from AWS to help determine how to meet the sudden need.
-
December 02, 2020
02
Dec'20
Price differentiates Amazon QuickSight, but capabilities lag
New embedded analytics capabilities highlight the latest additions to the QuickSight platform, but despite improving capabilities, its low cost remains its key attraction.
-
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.
Amazon Web Services (AWS) analytics Get Started
Bring yourself up to speed with our introductory content
-
Big data streaming platforms empower real-time analytics
Data streaming processes are becoming more popular across businesses and industries. Read on to see how streaming platform adoptions are benefiting enterprises. Continue Reading
-
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
Evaluate Amazon Web Services (AWS) analytics Vendors & Products
Weigh the pros and cons of technologies, products and projects you are considering.
-
Event streaming technologies a remedy for big data's onslaught
Event streaming is emerging as a viable method to quickly analyze in real time the torrents of information pouring into collection systems from multiple data sources. Continue Reading
-
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
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