We’re excited to make our first appearance at Oracle OpenWorld! As one of the world’s largest tech conferences, OpenWorld is the place to be next week if you’re interested in analytics, data, cloud, and more from September 16-19 in …
In-Memory Computing Planet® Blogs and Events
Sep
13
2019
Millions of data centers and telecom towers strategically placed across the planet, over 885,000 kilometers of undersea cable, billions of devices, and nearly all of it in service of one thing: online video. According to Cisco, IP video traffic will be 82 percent of all IP traffic in the world by 2022, increasing by four-fold ...continue reading Global Video Demand Requires New Hardware and Software Solutions
The post Global Video Demand Requires New Hardware and Software Solutions appeared first on IT Peer Network.
Sep
12
2019
Declarative recursive computation on an RDBMS… or, why you should use a database for distributed machine learing Jankov et al., VLDB’19 If you think about a system like Procella that’s combining transactional and analytic workloads on top of a cloud-native architecture, extensions to SQL for streaming, dataflow based materialized views (see e.g. Naiad, Noria, Multiverses, … Continue reading Declarative recursive computation on an RDBMS
Sep
12
2019
The Fourth Industrial Revolution is data-driven. And a primary reason for this is the rise of the internet of things (IoT). Connected devices from the consumer level to the industrial are creating—and consuming—more data than ever before. Last year, IoT …
Sep
12
2019
The Open Banking initiative, also referred to as PSD2 (Payment Services Directive), is a textbook example of streaming technology applied to modern banking requirements. In this model, banks (primarily in Europe) are required to make their back-end systems for customer accounts and payment services available to other members of the financial payment ecosystem. While this […]
The post Open Banking and the Application of In-Memory Technologies appeared first on Hazelcast.
Sep
10
2019
Procella: unifying serving and analytical data at YouTube Chattopadhyay et al., VLDB’19 Academic papers aren’t usually set to music, but if they were the chorus of Queen’s “I want it all (and I want it now…)” seems appropriate here. Anchored in the primary use case of supporting Google’s YouTube business, what we’re looking at here … Continue reading Procella: unifying serving and analytical data at YouTube
Sep
10
2019
The next revolution in storage--well it’s like déjà vu all over again. In my 20+ years in data center technologies, and in storage in particular, it can feel like a constant game of chasing the data bottleneck. We solve one challenge, just to move to the next bottleneck in line, and then repeat that process ...continue reading Intel® Optane™ Technology and Dell EMC PowerMax: The Revolution in Enterprise Storage
The post Intel® Optane™ Technology and Dell EMC PowerMax: The Revolution in Enterprise Storage appeared first on IT Peer Network.
Sep
10
2019
Sep
10
2019
At last year’s International Broadcasting Convention, Intel announced efforts to improve widely used codecs. Our initial work focused on Scalable Video Technology (SVT) architecture, an encoder core library that enables multiple codec generations (HEVC, AV1, and VP9). We began work on an SVT-AV1 open source encoder core library, an alternative implementation to the AV1 reference ...continue reading Mozilla Shows How Intel-backed Open Source Codecs are Transforming Online Video
The post Mozilla Shows How Intel-backed Open Source Codecs are Transforming Online Video appeared first on IT Peer Network.
Sep
10
2019
IBC in Amsterdam is the one of the most, if not the most, influential conferences for global media. The new technologies unveiled at the event shape the future of entertainment for years to come. This year, Intel and several partners are coming together to showcase what that future will look like by presenting the first ...continue reading IBC2019 Will Be Livestreamed in 8k 360° VR
The post IBC2019 Will Be Livestreamed in 8k 360° VR appeared first on IT Peer Network.
Sep
10
2019
I’m sure you use caching somewhere in your system. This can be either to improve performance, reduce backend load, or to decrease downtime. Everybody uses caching. Caching is everywhere. However, in which part of your system should it be placed? If you look at the following diagram representing a simple microservice architecture, where would you […]
The post Where Is My Cache? Architectural Patterns for Caching Microservices appeared first on Hazelcast.
Sep
09
2019
In this webinar, which you can view here, Manish Pandey tells us about the transformative effect real-time data, machine learning, and artificial intelligence will make in helping financial services institutions meet increasing demands from consumers. (You can also see the slides.) Pandey, who is Sr. Director of Business Development and Digital Strategy at MemSQL partner Fiserv, highlights the power of MemSQL, and the smarts that Fiserv can bring to helping companies make the most out if it. – Editor As you know, financial services has always been an exciting world. And to add to it, it’s an interesting time as …
The post Fiserv on Machine Learning & Real-Time Analytics at Financial Institutions appeared first on MemSQL Blog.
Sep
08
2019
Experiences with approximating queries in Microsoft’s production big-data clusters Kandula et al., VLDB’19 I’ve been excited about the potential for approximate query processing in analytic clusters for some time, and this paper describes its use at scale in production. Microsoft’s big data clusters have 10s of thousands of machines, and are used by thousands of … Continue reading Experiences with approximating queries in Microsoft’s production big-data clusters
Sep
06
2019
“Cameras are now everywhere. Large-scale video processing is a grand challenge representing an important frontier for analytics, what with videos from factory floors, traffic intersections, police vehicles, and retail shops. It’s the golden era for computer vision, AI, and machine learning – it’s a great time now to extract value from videos to impact science, society, and […]
Sep
05
2019
DDSketch: a fast and fully-mergeable quantile sketch with relative-error guarantees Masson et al., VLDB’19 Datadog handles a ton of metrics – some customers have endpoints generating over 10M points per second! For response times (latencies) reporting a simple metric such as ‘average’ is next to useless. Instead we want to understand what’s happening at different … Continue reading DDSketch: a fast and fully-mergeable quantile sketch with relative-error guarantees