Rethinking Analytics Infrastructure

Richard Fichera

Last year I published a reasonably well-received research document on Hadoop infrastructure, “Building the Foundations for Customer Insight: Hadoop Infrastructure Architecture”. Now, less than a year later it’s looking obsolete, not so much because it was wrong for traditional (and yes, it does seem funny to use a word like “traditional” to describe a technology that itself is still rapidly evolving and only in mainstream use for a handful of years) Hadoop, but because the universe of analytics technology and tools has been evolving at light-speed.

If your analytics are anchored by Hadoop and its underlying map reduce processing, then the mainstream architecture described in the document, that of clusters of servers each with their own compute and storage, may still be appropriate. On the other hand, if, like many enterprises, you are adding additional analysis tools such as NoSQL databases, SQL on Hadoop (Impala, Stinger, Vertica) and particularly Spark, an in-memory-based analytics technology that is well suited for real-time and streaming data, it may be necessary to begin reassessing the supporting infrastructure in order to build something that can continue to support Hadoop as well as cater to the differing access patterns of other tools sets. This need to rethink the underlying analytics plumbing was brought home by a recent demonstration by HP of a reference architecture for analytics, publicly referred to as the HP Big Data Reference Architecture.

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Ignore Digital Experience Delivery Technologies At Your Own Peril

Stephen Powers
Ignore digital experience delivery platforms in 2015, and you’ll spend all of 2016 playing catch up.
 
Since 2013, no fewer than eight vendors announced enterprise-class solutions vying to offer integrated, business-centric tools to create, deliver, measure, and optimize digital experiences. Just this week, French advertising giant Publicis Groupe acquired Sapient for $3.7 billion, and the second bullet of its press release, announced Publicis.Sapient, a new platform “focused exclusively on digital transformation and the dynamics of an always-on world across marketing, omni-channel commerce, consulting and technology.”
 
In our new document, “Predictions 2015: Digital Experience Delivery Platforms Become Flexible Or Lose Momentum,”  we share why we think that 2015 is the year that application development and delivery (AD&D) and digital marketers’ worlds collide – shared platforms, customer data, budgets, and priorities will emerge within B2C and progressive B2B enterprises. Now is the time for progressive digital customer experience technology leadership — from all corners of the organization — to come together to end the patchwork strategies of the past.
 
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Embrace Open Source Software In A Balanced Way

Charlie Dai

Ten years ago, open source software (OSS) was more like a toy for independent software vendors (ISVs) in China: Only the geeks in R&D played around with it. However, the software industry has been developing quickly in China throughout the past decade, and technology trends such as service-oriented architecture (SOA), business process management (BPM), cloud computing, the mobile Internet, and big data are driving much broader adoption of OSS.

  • OSS has become a widely used element of firms’ enterprise architecture.  For front-end application architecture on the client side, various open source frameworks, such as jQuery and ExtJS, have been incorporated into many ISVs’ front-end frameworks.  On the server side, OSS like Node.js is becoming popular for ISVs in China for high Web throughput capabilities. From an infrastructure and information architecture perspective, open source offerings like Openstack, Cloudstack, and Eucalyptus have been piloted by major telecom carriers including China Telecom and China Unicom, as well as information and communication solution providers like Huawei and IT service providers like CIeNET. To round this out, many startup companies are developing solutions based on MongoDB, an open source NoSQL database.
  • Familiarity with OSS is becoming a necessary qualification for software developers and product strategy professionals. Because of the wide usage of OSS among both vendors and end users, working experience and extensive knowledge with OSS is becoming a necessary qualification not only for software engineers, but also an important factors for product strategy professionals to establish appropriate product road maps and support their business initiatives.
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