In-Memory Computing Blogs and Events
Join GridGain technical evangelist Akmal Chaudhri Jan. 31 at 11 a.m.
Today, an organization has to be both customer-centric and agile, able to respond rapidly to changing market and customer demands. Realizing this vision requires intelligent processes, intelligent experiences, and intelligent analysis.
As I’ve explained in a previous blog, real-time data is one of the central components of the Intelligent Enterprise. Data is the currency of the digital transformation and data-driven applications are the future of application development. These next-generation solutions are proactive, based on events that trigger certain actions and built on technology that allows them to not only be more efficient, but also more intelligent. An end-to-end process that, for example, collects sensor data to provide…
Modern computing has brought significant benefits that help businesses develop new markets and innovative new products. But organizations are also experiencing an increasing number of security vulnerabilities as hackers become more sophisticated. Updating lower-level drivers and firmware, and accelerating the response to known issues can help mitigate these security risks. Driver and firmware dependencies are more intricate than ever, and OEMs are not able to test every scenario in every environment.
At Intel, we manage over 300 individual drivers across more than 30 platforms. Simply updating drivers and firmware, without fully understanding application dependencies, can sometimes create additional problems and degrade the user experience. Intel IT has established a Gold Standard configuration and a process for driver and firmware maintenance to help keep our environment up-to-date and secure. When we encounter critical vulnerabilities, we can now accelerate our existing…
In the previous article in this series, we looked at the two-phase commit protocol and how this worked with various types of cluster nodes in Apache Ignite. Here are topics we will cover in the rest of this series:
GridGain’s sales in 2017 spiked 84 percent year-over-year, driven by a combination of new and repeat orders from leading companies in industries including financial services, fintech, online travel services, telecommunications, web-scale online business services, and healthcare.
In April 2010, Intel defined a multi-year data center transformation strategy: to run Intel data center services like a factory, affecting change in a disciplined manner and applying breakthrough technologies, solutions, and processes. Our strategy has enabled us to achieve world-recognized leadership in data center asset utilization efficiency while delivering quality of service and the lowest possible cost. From 2010 to 2016, our data center strategy has delivered USD 1.5 billion in cost savings.
Metrics for Data Center Transformation
We use three key metrics to measure data center transformation success. Each metric is associated with a specific goal:
- Quality of service (QoS) – do…
Last time we talked about the SAP Web IDE and the editors that you use for Data Warehousing scenarios. But we did not handle two important aspects, which are the main drivers for what is “agile” about this data warehouse approach: the GIT repository, and containers. Containers allow a developer to work in isolation, unobstructed by others. And that is supported by a repository called Git.
Classic DW challenges with one workspace…
In the previous article, we reviewed and summarized pitfalls of the query-driven data modeling methodology (a.k.a. denormalized data modeling) utilized in Apache Cassandra. Turns out that the methodology prevents us from developing efficient applications without insight into what our queries will be like.
Happy New Year, everyone! The folks here at GridGain are ready for a fantastic 2018. Here’s an update on what’s happening on the community front over the month or so.
The concise answer to the question posed in the title is: not exactly. Blockchain is certainly not a panacea or silver bullet that will magically address all interoperability woes. However, blockchains will provide opportunities to significantly move the needle in a positive way in terms of improving healthcare interoperability. Consider the Healthcare Blockchain Overview diagram below:
Blockchain is a new type of B2B middleware. By its nature, it sits between healthcare organizations in a B2B network. This is precisely where interoperability is required, so the success of blockchains in healthcare is critically dependent on healthcare organizations participating in blockchain networks achieving interoperability.
McKinsey recently issued another must-read paper for retail technologists.
I urge you to spend time with the chart on slide two. Serious, what-do-we-do-now time.
Seven core value propositions are listed for the store. These are the value propositions through which brands differentiate themselves, that win and lose retail shoppers.
In McKinsey’s opinion, Amazon has conquered the first four of the value propositions and is fast making in-roads on the fifth.
As we enter 2018, here’s what it means – and what we must remember:
- Amazon (and fellow market-shapers Alibaba and JD.com) now define the operational benchmarks of retail, including the operational benchmarks for the store.
That entails pricing, assortment, ease of transaction (especially ease of transaction), fulfillment and…
Whenever industries transform, businesses have to redefine themselves. We’ve seen plenty of this in the retail industry recently, with many retailers turning to new retail technologies to help them keep up with customer demands and market shifts. This new tech is not only helping retailers please customers, it’s also changing the way supply chains function. Businesses are experiencing more efficient processes, fewer stockouts, and in general, they’re more easily able to see both the details and the big picture. They know what’s going on throughout their business at all times.
So what technologies are they choosing to make this happen? Quite a few. At Intel, we’re investing in and working toward real solutions to transform the industry. Today, we’ll take a look a few of these technologies that are making a big difference for retailers. If you’re at Retail’s…
Intel’s Chief Data Scientist, Bob Rogers, outlines the common misconceptions held about advanced analytics by business users and decision makers and explains why they are untrue.
I spend a lot of time speaking to Intel customers and others in the IT industry about analytics, and I’m often surprised about some of the misapprehensions out there. Here are six of the most common ‘myths’ I come across.
MYTH #1: “To deploy advanced analytics like machine learning (ML), we have to invest a lot in exotic new hardware and dedicated infrastructure.”
TRUTH: Your first advanced analytics project is actually a lot closer than you think.
A lot of companies already have much of the infrastructure in place for advanced analytics. For example, it’s common to have thousands of sensors on a factory floor, but often not all of them are used as the data they generate is so noisy. A good…
“Being an entrepreneur, you need to imagine what is possible. … Lots of things transform the world. Look back five or six years ago; today, you can’t remember when [an innovation] wasn’t the case. The world will comparably change in the future.” — Ray Kurzweil at UIFFuturist, author, and inventor Ray Kurzweil spoke to the 350 fellows and faculty at the University Innovation Fellows (UIF) Silicon Valley Meetup on November 16–20, 2017 at Stanford University.
University Innovation Fellows/Tyler Winick | Ray Kurzweil — UIF Silicon Valley Meetup November 2017
The UIF attendees participated in experiential workshops and exercises focused on topics including movement building, innovation spaces, design of…