In-Memory Computing Blogs and Events

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Feb
22
2018
Posted by SAP HANA on Thursday 22 February 2018, 10:58

 

 
Best demos to check out at the Gartner Data and Analytics Conference
It’s only 2 weeks away, the Gartner Data and Analytics Conference in Grapevine!  Hopefully by now you have your pass and you’re staying at the Gaylord or some near-by hotel.  For those who are not Texans, we consider near-by within a 20-minute drive – so you may need to rent a car or a pick-up truck.
Now that you are starting to think about your agenda, there are so many good sessions with analysts, be sure to also see how the data and analytics concepts discussed work in action – be sure to check out some demos going on!
Here are some demos from SAP you won’t want…

Feb
22
2018
Posted by GridGain Systems Blog on Thursday 22 February 2018, 09:00
Feb
22
2018
Posted by SAP HANA on Thursday 22 February 2018, 06:16

SAP, for the sixth consecutive year, is positioned as a Leader in Gartner’s Magic Quadrant for Data Management Solutions for Analytics for SAP HANA. In the report, Gartner identified SAP as a leader for its “ability to execute” and “completeness of vision.” We deliver value in all industry verticals for customers of all sizes.
Since SAP first shipped SAP HANA in late November 2010, the in-memory, relational database management system has amassed more than 21,000 customers. Every day we are learning more about how our customers use SAP HANA to run their businesses, and we have gained a unique perspective of the advantages that SAP HANA provides customers and its positive influences on the market. What stands out is that our customer successes tell the real story of SAP HANA.
France — Lavender and sunflower — Image by © Ocean/Corbis
SAP HANA Delivers…

Feb
20
2018
Posted by SAP HANA on Tuesday 20 February 2018, 00:59

We are proud to say that we are running the company based on a highly integrated landscape, with reporting that is really coming from the transactional system. This allows for a truly 360° view of the company for real-time decision making. Ultimately, SAP has greatly benefitted from implementing HANA and S/4HANA in three key ways.
Flexibility
A big improvement is flexibility within the system. This flexibility provides a single source of truth that is reliable and useful. S/4HANA Finance as our real-time finance platform serves as our global single source of truth at SAP. It helps us to keep financial and managerial accounting automatically in sync without the need for time-consuming reconciliations, and enables seamless drill-down and drill-through between both worlds. Financial steering with integrated planning, predictive forecasting and simulation helps us to move from data sheet-centric to business-centric planning and forecasting. The ‘reporting on the…

Feb
20
2018
Posted by SAP HANA on Tuesday 20 February 2018, 00:58

SAP HANA’s benefits are compelling as Christian elaborated concisely. SAP with SAP HANA just recently being named a leader in The Forrester Wave™ for Translytical Data Platforms is yet additional prove. However, the question arises as to whether SAP HANA can be operated economically also for large business critical systems.
The key challenge certainly is about managing the data footprint. Balancing the need for accessible data history for real-time analytics use cases and keeping a lid on hardware cost surely is not an easy puzzle to solve.
At SAP, we cracked this nut with a carefully reasoned data management strategy and its diligent implementation. We run our single-instance global corporate S/4HANA Finance with a 4TB appliance at an in-memory data footprint…

Feb
20
2018
Posted by SAP HANA on Tuesday 20 February 2018, 00:58

Today, companies are faced with the challenge of supporting ever increasing data growth to enable innovation while at the same time trying to keep technology infrastructure costs under control. However, managing these amounts of data can be costly for organizations. One way companies can keep costs down is by reducing the data storage footprint.
And indeed, our customers not only ask us for support in becoming more innovative, they are also looking for ways to manage their IT landscapes more efficiently, thereby reducing the costs of running their solutions. Innovation for us at SAP is about solving real customer challenges, so we came up with solutions to do precisely that, both at the software and the hardware level.
Take for example SAP HANA, our in-memory data platform that lets companies accelerate business processes,…

Feb
16
2018
Posted by GridGain Systems Blog on Friday 16 February 2018, 14:03

Happy Presidents Day! Next Monday is a federal holiday here in the United States and many folks have the day off – me included.

Feb
15
2018
Posted by GridGain Systems Blog on Thursday 15 February 2018, 06:00

NoSQL databases, such as Apache Cassandra, are the best-known example of eventually consistent systems. A contract of such systems is simple -- if an application triggered a data change on one machine, then the update will be propagated to all the replicas at some point in time -- in other words, eventually.

Feb
14
2018
Posted by GridGain Systems Blog on Wednesday 14 February 2018, 08:02

My colleague, GridGain’s Lead Architect Valentin "Val" Kulichenko, is hosting a free webinar today at 11 p.m. Pacific time that will give you the tools and blueprint to build your very own distributed database using the open-source Apache® Ignite™

Feb
14
2018
Posted by E3zine – E-3 Magazine International on Wednesday 14 February 2018, 08:00
Feb
14
2018

Computational Biologists Find Inspiration for Machine Learning Cell Cycle Sorting Method in an Unlikely Place

Posted by IBM Blog Research - Feed - Research on Wednesday 14 February 2018, 01:46

The lifespan of cells in the human body varies greatly, from as short as a few days, such as those in our stomach lining, to the cells in our bones, which live for 25-30 years. And for each healthy cell, no matter how long it lives, there is a tightly coordinated series of events that […]

Feb
13
2018
Posted by IT Peer Network on Tuesday 13 February 2018, 15:30

The phrase, “the more things change, the more they stay the same” is a loose translation of comments by Jean-Baptiste Alphonse Karr, a 19th-century French writer and critic. If that sentiment was ever true in technology, it is certainly a glaring anachronism in today’s environment. Change is the only constant these days. We are experiencing a significant convergence of technology and cultural megatrends, such as cloud computing, artificial intelligence (AI), high-speed connectivity and immersive experiences, that will forever change how we live, work, play and learn.
As leaders of this digital transformation, Intel and Alibaba Cloud, the cloud computing arm of Alibaba Group, collaborated to modernize the cloud infrastructure and deliver differentiated cloud services to markets around the world. The two companies work closely to optimize hardware and software technologies across Alibaba Cloud’s data centers.
As leaders in cloud, 5G and network technology, Intel and…

Feb
13
2018
Posted by GridGain Systems Blog on Tuesday 13 February 2018, 06:16

Back in the day, when today’s parents were software engineers, whenever you built large-scale systems you had to size everything.

Feb
12
2018
Posted by IT Peer Network on Monday 12 February 2018, 09:27

Apache Spark* has emerged as a game-changer for big data processing in recent years. According to Wikibon, the adoption of Apache Spark is gaining momentum and will reach a growth rate of 72% by 20191. With its open-source, in-memory architecture, Spark can process and analyze not only batch data but massive volumes of streaming data in real-time. Another key benefit of Spark is its ability to train machine and deep learning models at scale as well as handle an entire analytics pipeline.
Intel has made significant technical contributions to the Apache Spark community including an Intel-led open source initiative called BigDL. BigDL is a distributed library for deep learning applications. Unlike a number of other libraries for building deep learning applications, BigDL is native to Apache Spark. With BigDL, you can write deep learning…