Amazon Web Services (AWS) analytics News
August 31, 2016
Technology consultants and vendor executives share their predictions on likely developments in BI, analytics and big data technologies, and user deployments of them over the next 12 months.
June 29, 2015
Spark Summit 2015 brought announcements that data scientists and other users will soon have two cloud-hosted options to run the big data framework. This podcast takes a deeper look.
March 24, 2015
Technologies that support real-time data streaming and analytics aren't for everyone, but they can aid organizations that need to quickly assess large volumes of incoming information.
November 14, 2014
Cazena, a stealth-mode startup founded by former Netezza executives, is looking to solve the pain points that many enterprises have with managing and analyzing big data in the cloud.
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Data architecture and cloud were strangers at first, as security concerned IT. That will change, say reporters in the latest Talking Data podcast. Continue Reading
MapR is a software company based out of San Jose, California that was founded in 2009. Continue Reading
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To help companies target ads to website users, Sellpoints Inc. relies on the Spark processing engine -- including its Spark SQL module -- to prepare online activity data for analysis. Continue Reading
Like other cloud services, cloud data warehouse platforms can offer potential savings, faster rollouts and the ability to scale up or down easily -- but there are challenges, too. Continue Reading
Databricks Cloud is a big data platform that's based on the Apache Spark processing engine, with added features designed to simplify big data management and analytics for users. Continue Reading
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Is a cloud BI and analytics strategy the right choice for your organization? That may depend on whether your data is on-premises or already in the cloud. Continue Reading
Online advertising platform providers Altitude Digital and Sharethrough are both tapping Apache Spark's stream processing capabilities to support more real-time analysis of ad data. Continue Reading
Cloud business intelligence platforms offer companies a faster, easier way to analyze data, thanks to reduced capital costs and streamlined system design. Continue Reading
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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
Business intelligence gained from mining big data sources and cloud data analytics can present huge gains for companies that know what they're doing. Continue Reading
A data analytics project often includes a high price tag and a long implementation cycle. Adopting Analytics as a Service can help with both. Continue Reading