Amazon S3 News
December 02, 2016
Amazon's Athena data engine brings interactive SQL queries to S3. It's based on an open source framework called Presto that Teradata and others also employ.
November 23, 2016
Amazon cut prices on its cold storage service Glacier, a move that also gives customers faster access to data -- if they're willing to pay for it.
October 27, 2016
Cloudian today closed a $41 million in a Series D funding round that it will use to help increase its sales footprint in Europe and Asia in the second half of 2017. New Cloudian investors in the ...
October 26, 2016
Tying Amazon Aurora to S3 and Lambda simplifies the connections between services, and opens the door to a range of new capabilities.
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We have restrictions imposed on in-house IT staff with AWS Identity and Access Management. How do IAM roles protect access to services, applications and end users? Continue Reading
How IT teams store data in the cloud can affect performance, costs and security. Identify your needs to choose the right AWS storage service. Continue Reading
Developers must choose among a wealth of big data storage and processing options. The effort is worth the time spent, as the tool makes all the difference in effective BI management. Continue Reading
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Data replication ensures resources are consistently available; replicating data to a separate repository further accelerates recovery. AWS provides these data repository options. Continue Reading
Object storage is rapidly replacing proprietary SAN filers as the go-to choice for storage in the modern data center. But is it right for your virtual environment? Continue Reading
It's easy to migrate data to the cloud, but not as easy to get data out. AWS has eased some lock-in concerns with data export and transfer techniques. Continue Reading
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Not all storage needs to be about super speedy SSDs and the lowest latency or retrieval times. Cold storage is an inexpensive way to handle data archiving. Continue Reading
IT teams must take a layered approach to AWS security, and encryption is no different. Each Amazon service has different security characteristics, requiring the right security tool. Continue Reading
A fire is catching in the world of big data processing. Since it was first introduced by The Apache Software Foundation a few years ago, the Spark processing engine has been moving throughout the big data ecosystem, latching onto users ripe for change the way a wildfire takes to some vegetation better than others.
A major appeal of Spark -- which is often paired with the Hadoop framework -- is its speed, especially compared to MapReduce, another Hadoop partner. Of course, the processing engine's youth also means it has areas in need of improvement. Some users struggle to stay on top of Spark updates because the other tools they pair it with don't have the latest version. But the benefits of Spark outweigh the inefficiencies for many users. "It's a stable [technology], and I have no hesitation at all about deploying it," said Peter Crossley, director of product architecture and technology at Webtrends Inc., one of the many users profiled in this e-book chapter written by Executive Editor Craig Stedman.
Webtrends was an early adopter of Spark and recently expanded the processing engine's role in its big data operations. Other users, like cloud software vendor Xactly Corp., are newer to the technology but are already seeing its benefits. One thing is for sure: Spark has caught the attention of companies that want to process information fast.Continue Reading
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Using Amazon Cognito in conjunction with an "authenticate" function in AWS Lambda can help secure vulnerable back-end information and infrastructure. Continue Reading
Given their knowledge of an organization's new and legacy apps, DevOps teams can streamline an application's move to the cloud. Continue Reading
Object stores offer scalability that traditional storage systems cannot match. The challenge is making them work in a block- and file-based world. Continue Reading