bnoy

About Becca Noy

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So far Becca Noy has created 16 blog entries.

How to Operationalize Machine Learning and Accelerate Business Value with Insight Platforms and In-Memory Computing

By |2018-05-17T03:02:40+00:00May 17, 2018|

Machine learning is much more than just a buzzword. In fact, it has become a part of our everyday lives – sometimes without even noticing. With 75% of executives believing that artificial intelligence (AI) will enable their companies to move into new businesses, and 85% believe AI will allow their companies to obtain or [...]

Make XAP Work for You: How to Use Remote Read Eval Print Loop (REPL) to Control XAP

By |2017-05-24T07:26:53+00:00May 24, 2017|

We’re excited to introduce a new blog series, covering all things XAP, including insider tips and tricks from our team of architects and developers working around the clock to make XAP work for you. The GigaSpaces blog has evolved substantially, and our goal is to ensure you are kept in [...]

Make XAP Work for You: Take the Strain off your Client-Server Relationship with XAP REST API

By |2017-05-16T07:08:41+00:00May 16, 2017|

We’re excited to introduce a new blog series, covering all things XAP, including insider tips and tricks from our team of architects and developers working around the clock to make XAP work for you. The GigaSpaces blog has evolved substantially, and our goal is to ensure you are kept in [...]

Fast Recovery for Fast Data: Three Preload Strategies with XAP 12.1

By |2017-04-02T08:00:12+00:00April 2, 2017|

As enterprises virtualize more business critical data for fast data workloads, business continuity and disaster recovery become an increasing concern. With fast data processing, real-time streaming data analytics, and just-in-time business decisions becoming the key value creators for the insight-driven business, the question of using in-memory computing technologies (in-memory data [...]

Washington DC Area Apache Spark Interactive Meetup

By |2017-01-22T02:30:46+00:00January 22, 2017|

GigaSpaces’ Vice President of Product and Strategy, Ali Hodroj, will be speaking about Hybrid Transactional/Analy­tical Processing with Spark & In-Memory Data Fabrics at Washington DC Area Apache Spark Interactive on February 16th, 2017. When and Where Date: February 16, 2017 Time: 6:00 pm - 8:30 pm Venue: WeWork Tysons, 5th floor [...]

The next big thing in big data: fast data

By |2014-06-26T03:10:00+00:00June 26, 2014|

The big data movement was pretty much driven by the demand for scale in velocity, volume, and variety of data. Those three vectors led to the emergence of a new generation of distributed data management platforms such as Hadoop for...

Lessons from Zynga & Sony on moving from Amazon AWS

By |2012-03-14T09:14:13+00:00March 14, 2012|

Earlier this month Zynga announced its move from Amazon AWS to its own private Z-Cloud. Sony also started to move increasing parts of its workload from Amazon to Rackspace OpenStack. There isn't so much in common between these different use...

Interop 2010 conference

By |2010-04-27T06:48:32+00:00April 27, 2010|

Hi all, We’ll be at the Interop 2010 conference in Vegas this week, showcasing the joint GigaSpaces and Cisco solution on top of Cisco UCS. You are welcome to visit us at the booth (#1719) to learn more about the solution and the joint Cisco-Intel-GigaSpaces PoC Program we are offering [...]

GigaSpaces XAP 7.1 being released tomorrow!

By |2010-04-13T11:59:08+00:00April 13, 2010|

This Wednesday, GigaSpaces is releasing XAP 7.1 GA. XAP stands for “eXtreme Application Platform,” and we included a lot of functionality based around earning that kind of name. Well, more than we already did – we’ve always been leaders in scalability. Probably the most visible aspects of the new release [...]

GigaSpaces 7.1 Early Access – worth it, totally

By |2010-04-06T19:35:04+00:00April 6, 2010|

I've been enjoying being back at GigaSpaces, but one of the coolest of the various bits and bobs is the access to future releases - including the one right around the corner. Hint, hint *cough* 7.1 *cough* Dudes: if you're interested in scalable cloud computing with distribution of both data and processing - you really, really want [...]