|By Jnan Dash||
|August 20, 2014 08:45 AM EDT||
Back when we were doing DB2 at IBM, there was an important older product called IMS which brought significant revenue. With another database product coming (based on relational technology), IBM did not want any cannibalization of the existing revenue stream. Hence we coined the phrase “dual database strategy” to justify the need for both DBMS products. In a similar vain, several vendors are concocting all kinds of terms and strategies to justify newer products under the banner of Big Data.
One such phrase is Fast Data. We all know the 3Vs associated with the term Big Data – volume, velocity and variety. It is the middle V (velocity) that says data is not static, but is changing fast, like stock market data, satellite feeds, even sensor data coming from smart meters or an aircraft engine. The question always has been how to deal with such type of changing data (as opposed to static data typical in most enterprise systems of record).
Recently I was listening to a talk by IBM and VoltDB where VoltDB tried to justify the world of “Fast Data” as co-existing with “Big Data” which is narrowed to static data warehouse or “data lake” as IBM calls it. Again, they have chosen to pigeonhole Big Data into the world of HDFS, Netezza, Impala, and batch Map-Reduce. This way, they justify the phrase Fast Data as representing operational data that is changing fast. They call VoltDB as “the fast, operational database” implying every other database solution as slow. Incumbents like IBM, Oracle, and SAP have introduced in-memory options for speed and even NoSQL databases can process very fast reads on distributed clusters.
VoltDB folks also tried to show how the two worlds (Fast Data and their version of Big Data) will coexist. The Fast Data side will ingest and interact on streams of inbound data, do real time data analysis and export to the data warehouse. They bragged about the performance benchmark of 1m tps on a 3-node cluster scaling to 2.4m on a 12-node system running in the SoftLayer cloud (owned by IBM). They also said that this solution is much faster than Amazon’s AWS cloud. The comparison is not apple-to-apple as the SoftLayer deployment is on bare metal compared to the AWS stack of software.
I wish they call this simply – real-time data analytics, as it is mostly read type transactions and not confuse with update-heavy workloads. We will wait and see how enterprises adopt this VoltDB-SoftLayer solution in addition to their existing OLTP solutions.
Big Data Expo's giant Silicon View billboard is viewed by more than 1.3 million motorists per week.
Approved this February by the Internet Engineering Task Force (IETF), HTTP/2 is the first major update to HTTP since 1999, when HTTP/1.1 was standardized. Designed with performance in mind, one of the biggest goals of HTTP/2 implementation is to decrease latency while maintaining a high-level compatibility with HTTP/1.1. Though not all testing activities will be impacted by the new protocol, it's important for testers to be aware of any changes moving forward.
Jul. 31, 2015 12:30 PM EDT Reads: 162
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Jul. 31, 2015 11:45 AM EDT Reads: 187
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Jul. 31, 2015 11:00 AM EDT Reads: 113
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Jul. 30, 2015 05:45 PM EDT Reads: 380
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Jul. 30, 2015 05:00 PM EDT Reads: 1,090
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Jul. 30, 2015 04:00 PM EDT Reads: 2,205
SYS-CON Events announced today that HPM Networks will exhibit at the 17th International Cloud Expo®, which will take place on November 3–5, 2015, at the Santa Clara Convention Center in Santa Clara, CA. For 20 years, HPM Networks has been integrating technology solutions that solve complex business challenges. HPM Networks has designed solutions for both SMB and enterprise customers throughout the San Francisco Bay Area.
Jul. 30, 2015 03:45 PM EDT Reads: 452
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Jul. 30, 2015 03:00 PM EDT Reads: 488
MuleSoft has announced the findings of its 2015 Connectivity Benchmark Report on the adoption and business impact of APIs. The findings suggest traditional businesses are quickly evolving into "composable enterprises" built out of hundreds of connected software services, applications and devices. Most are embracing the Internet of Things (IoT) and microservices technologies like Docker. A majority are integrating wearables, like smart watches, and more than half plan to generate revenue with ...
Jul. 30, 2015 02:30 PM EDT Reads: 101
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[session] DevOps State of Mind By @RedHatNews | @DevOpsSummit #DevOps #PaaS #Jenkins #Kubernetes #Docker
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Growth hacking is common for startups to make unheard-of progress in building their business. Career Hacks can help Geek Girls and those who support them (yes, that's you too, Dad!) to excel in this typically male-dominated world. Get ready to learn the facts: Is there a bias against women in the tech / developer communities? Why are women 50% of the workforce, but hold only 24% of the STEM or IT positions? Some beginnings of what to do about it! In her Opening Keynote at 16th Cloud Expo, S...
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Jul. 30, 2015 12:00 PM EDT Reads: 1,310
[video] An Interview with @ProfitBricksUSA CEO @AchimWeiss | @CloudExpo #DevOps #Docker #Containers #Microservices
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Jul. 30, 2015 11:15 AM EDT Reads: 1,126
You often hear the two titles of "DevOps" and "Immutable Infrastructure" used independently. In his session at DevOps Summit, John Willis, Technical Evangelist for Docker, covered the union between the two topics and why this is important. He provided an overview of Immutable Infrastructure then showed how an Immutable Continuous Delivery pipeline can be applied as a best practice for "DevOps." He ended the session with some interesting case study examples.
Jul. 30, 2015 10:15 AM EDT Reads: 187