All Things Distributed

OCTOBER 7, 2015

Today, I am excited to share with you a brand new service called Amazon QuickSight that aims to simplify the process of deriving insights from a wide variety of data sources in a fast and affordable manner. Big data challenges. Enter Amazon QuickSight.

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All Things Distributed

SEPTEMBER 6, 2013

Shell leverages AWS for big data analytics to help achieve these goals. When Tom Tom launched the LBS platform they wanted the ability to reach millions of developers all around the world without having them invest a lot of capital upfront in hardware and building expensive data centers so turned to the cloud.

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All Things Distributed

NOVEMBER 15, 2010

This lead to the birth of the Graphics Processing Unit (GPU) which was focused on providing a very fine grained parallel model, with processing organized in multiple stages, where the data would flow through. Driving down the cost of Big-Data analytics. General Purpose GPU programming.

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All Things Distributed

JULY 13, 2010

Additionally, many high-end HPC applications take advantage of knowing their in-house hardware platforms to achieve major speedup by exploiting the specific processor architecture. Given the specialized nature of these platforms, they require dedicated resources to maintain and operate and put a big burden on the IT organization.

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Cloud AWS Automotive Latency 96

Abhishek Tiwari

DECEMBER 27, 2017

In 2018, we will see new data integration patterns those rely either on a shared high-performance distributed storage interface ( Alluxio ) or a common data format ( Apache Arrow ) sitting between compute and storage. For instance, Alluxio, originally known as Tachyon, can potentially use Arrow as its in-memory data structure.

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All Things Distributed

DECEMBER 20, 2017

Marketers use big data and artificial intelligence to find out more about the future needs of their customers. If data take center stage then companies must learn how to create added value out of it – namely by combining the data they own with external data sources and by using modern, automated analytics processes.

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Artificial Intelligence Social Media Logistics AWS 70

The Morning Paper

SEPTEMBER 19, 2019

Could it be Analyzing efficient stream processing on modern hardware ? Hyper Dimension Shuffle describes how Microsoft improved the cost of data shuffling, one of the most costly operations, in their petabyte-scale internal big data analytics platform, SCOPE. What’s their secret???

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Blockchain Hardware Google Speed 46

All Things Distributed

NOVEMBER 15, 2016

They require companies to provision and maintain complex hardware infrastructure and invest in expensive software licenses, maintenance fees, and support fees that cost upwards of thousands of dollars per user per year. Data is automatically replicated across multiple Availability Zones for redundancy and also backed up to S3 for durability.

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All Things Distributed

NOVEMBER 30, 2016

Yong Huang, Director of Big Data & Analytics, Redfin, tell us that Redfin users love to browse images of properties on their site and mobile apps and they want to make it easier for their users to sift through hundreds of millions of listing and images.

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Adrian Cockcroft

NOVEMBER 18, 2024

uses big data to reduce methane emissions Trace gases including methane and carbon dioxide contribute to climate change and impact the health of millions of people across the globe. It’s possible to get energy data in real time from NVIDIA GPUs (because NVIDIA provides it) but not from AWS hardware.

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