Gridgain PowerPoint PPT Presentations

Like JBoss, Spring Source, Mule Source... GridGain Java Grid Computing Made Simple ... Mule. JMS. ActiveMQ. SunMQ. Jgroups. Email. TCP, IP-Multicast. Others ...

Like JBoss, Spring Source, Mule Source... GridGain Java Grid Computing Made Simple ... Mule. JMS. ActiveMQ. SunMQ. Jgroups. Email. TCP, IP-Multicast. Others ...

This presentation gives an overview of the Apache Ignite project. It explains Ignite in relation to its architecture, scaleability, caching, datagrid and machine learning abilities. Links for further information and connecting http://www.amazon.com/Michael-Frampton/e/B00NIQDOOM/ https://nz.linkedin.com/pub/mike-frampton/20/630/385 https://open-source-systems.blogspot.com/

This presentation gives an overview of the Apache AsterixDB project. It explains the AsterixDB database in terms of its functionality and capabilities. Links for further information and connecting http://www.amazon.com/Michael-Frampton/e/B00NIQDOOM/ https://nz.linkedin.com/pub/mike-frampton/20/630/385 https://open-source-systems.blogspot.com/

The Hadoop Distributed File System (HDFS) is designed to store very large data sets reliably, and to stream those data sets at high bandwidth to user applications.In a large cluster, thousands of servers both host directly attached storage and execute user application tasks. http://www.thinkittraining

Who we are: global leader in scalability engineering ... Users of scalable applications: eBay, Bank of America, web start-ups ...

Vancouver Island Technology Park, Conference Room- 4464 Markham Street, Victoria ... About VIJUG: The Vancouver Island Java User Group is a volunteer organization ...

According to the latest research report by IMARC Group, The global in-memory computing market size reached US$ 16.3 Billion in 2022. Looking forward, IMARC Group expects the market to reach US$ 41.3 Billion by 2028, exhibiting a growth rate (CAGR) of 16.6% during 2023-2028. More Info:- https://www.imarcgroup.com/in-memory-computing-market

As the industry is witnessing a sharp rise in transactional and analytical requirements for voluminous big data, In-Memory Computing solutions are fast finding a place in almost every database warehousing and analytics application. Traditional disk-based systems do have storage capabilities, but when it comes to faster analysis of data, traditional disk-based systems lag behind. Apart from processing speed, disk-based systems require a lot of physical space to store massive volume of data.