|By Jnan Dash||
|October 10, 2012 05:16 PM EDT||
Hadoop traces its origins to Google where two early projects GFS (Google File System) and GMR (Google Map Reduce) were written besides Big Table, to manage large volumes of data. These systems are great at crunching large volumes of data in a distributed computing environment (with commodity servers) in batch mode. Any changes to the data requires streaming over the entire data-set and thus big latency. So it is good for “Data in Rest” or static data.
Now Google finds itself limited by its own invention of GFS/GMR/BigTable. Hence they have been working on the post-Hadoop set of data crunching tools – Percolator, Dremel, and Pregel. Here is a brief narration of each of these tools.
Percolator is a system for incrementally processing updates to a large data set. By replacing a batch-based indexing system with one on incremental processing with Percolator, you significantly speed up the process and reduce analysis time. Percolator’s architecture provides horizontal scalability and resilience. The best candidates for this is large indexes where the performance improvement factor can be 100. The big advantage of Percolator is that the indexing time is now proportional to the size of the page, not to the size of the index.
Dremel is for ad-hoc analytics. It is a scalable, interactive ad-hoc query system for analysis of read-only nested data. By combining multi-level execution trees and columnar data layout, it is capable of running aggregation queries over trillion-row tables in seconds. Dremel claims to be about 100 times faster than MapReduce. It’s architecture is similar to Pig and Hive, but instead of MapReduce, it’s engine is based on aggregator trees.
Pregel is a system for large-scale graph processing and graph data analysis. It is designed to execute graph algorithms faster and API is easy to use. As to be expected Pregel is architected for efficient, scalable, and fault-tolerant implementation on clusters of thousands of commodity computers. Graphs are everywhere – social networks, computer network topologies, games among soccer teams, citations among scientific papers, and the most pervasive graph is the web itself. Pregel is a scalable infrastructure to mine a wide range of graphs and programs are expressed as a sequence of iterations. Google has been using Pregel internally for some time now.
Besides Google, Facebook and Twitter are also working on new innovations. Recently Twitter released its Storm project to the Apache open source. One key trend is “Data in Motion”, or how to deal with data that is moving. This is the velocity aspect of Big Data.
The Internet of Things (IoT) is growing rapidly by extending current technologies, products and networks. By 2020, Cisco estimates there will be 50 billion connected devices. Gartner has forecast revenues of over $300 billion, just to IoT suppliers. Now is the time to figure out how you’ll make money – not just create innovative products. With hundreds of new products and companies jumping into the IoT fray every month, there’s no shortage of innovation. Despite this, McKinsey/VisionMobile data shows "less than 10 percent of IoT developers are making enough to support a reasonably sized team....
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Just over a week ago I received a long and loud sustained applause for a presentation I delivered at this year’s Cloud Expo in Santa Clara. I was extremely pleased with the turnout and had some very good conversations with many of the attendees. Over the next few days I had many more meaningful conversations and was not only happy with the results but also learned a few new things. Here is everything I learned in those three days distilled into three short points.
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With major technology companies and startups seriously embracing IoT strategies, now is the perfect time to attend @ThingsExpo 2016 in New York and Silicon Valley. Learn what is going on, contribute to the discussions, and ensure that your enterprise is as "IoT-Ready" as it can be! Internet of @ThingsExpo, taking place Nov 3-5, 2015, at the Santa Clara Convention Center in Santa Clara, CA, is co-located with 17th Cloud Expo and will feature technical sessions from a rock star conference faculty and the leading industry players in the world. The Internet of Things (IoT) is the most profound cha...
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Nov. 28, 2015 11:15 AM EST Reads: 411
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Nov. 28, 2015 08:45 AM EST Reads: 433
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Nov. 28, 2015 08:45 AM EST Reads: 331
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Nov. 28, 2015 05:30 AM EST Reads: 730
Too often with compelling new technologies market participants become overly enamored with that attractiveness of the technology and neglect underlying business drivers. This tendency, what some call the “newest shiny object syndrome” is understandable given that virtually all of us are heavily engaged in technology. But it is also mistaken. Without concrete business cases driving its deployment, IoT, like many other technologies before it, will fade into obscurity.
Nov. 28, 2015 05:00 AM EST Reads: 359
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Nov. 28, 2015 04:00 AM EST Reads: 538
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