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Raghunath Nambiar

No Longer with Cisco

Raghu Nambiar helps define strategies for next generation architectures, systems, and datacenter solutions, as well as leads a team of engineers and product leaders focused on emerging technologies and solutions – big data, analytics, internet of things and artificial intelligence. He has played an instrumental role in accelerating the growth of the Cisco UCS to a top datacenter compute platform. Raghu was previously a Cisco distinguished engineer and chief architect of big data and analytics solution engineering responsible for incubating and growing it to a mainstream portfolio. He brings years of technical accomplishments with significant expertise in systems architecture, performance engineering, and creating disruptive technology solutions.

Raghu has served in leadership positions on industry standards committees for performance evaluation and leading academic conferences. He chaired industry’s first standards committee for benchmarking big data systems, industry’s first standards committee for benchmarking Internet of Things, and founding chair of TPC’s International Conference Series on Performance Evaluation and Benchmarking. He has published more than 50 peer-reviewed papers and book chapters, 10 books in Lecture Series in Computer Science (LNCS), and holds five patents with several pending. Prior to Cisco, Raghu was an architect at Hewlett-Packard responsible for several industry-first and disruptive technology solutions and a decade of performance benchmark leadership. He holds master’s degrees from University of Massachusetts and Goa University and completed an advanced management program from Stanford University.

Raghu’s recent book titled Transforming Industry Through Data Analytics examines the role of analytics in enabling digital transformation, how the explosion in internet connections affects key industries, and how applied analytics will impact our future.

Articles

August 10, 2014

DATA CENTER

A platform for Hadoop as a Service (HaaS): Cisco UCS and OpenStack

1 min read

As Hadoop is becoming the center of Data Management and OpenStack the platform for private clouds, many organizations have begun to think – When to virtualize Hadoop? – What is the role of OpenStack in Hadoop? When to virtualize Hadoop? While most of Hadoop deployments in the coming years are expected to be on bare-metal […]

July 24, 2014

DATA CENTER

Cisco UCS and SAS: A Platform for Fast Data Analytics

1 min read

Big Data Analytics is becoming an integral part of the enterprise IT ecosystem. In order to realize its full potential it must be integrated with traditional data management systems and analytics technologies (and in the near future with Internet of Everything). Today, Cisco and SAS is announcing joint solutions that deliver faster, more accurate insights […]

May 12, 2014

DATA CENTER

Hortonworks Data Platform with Cisco UCS; and a note on incredible performance of Hive 13

2 min read

Undoubtedly Big Data is becoming an integral part of enterprise IT ecosystem across major industry verticals, and Apache Hadoop is emerging almost synonymous with it as the as the foundation of the next generation data management platform. Sometimes referred to as Data Lake this platform serves as the primary landing zone for data from across a wide […]

April 2, 2014

DATA CENTER

Announcing Cisco Solution for Cloudera Enterprise 5

1 min read

Built upon our vision of shared infrastructure and unified management, the Cisco UCS Common Platform Architecture (CPA) for Big Data has become a leading platform for Big Data deployments. Today we are announcing support for Cloudera Enterprise 5 – an industry leading data management platform that combines Apache Hadoop with a number of other open […]

January 18, 2014

DATA CENTER

TPC forms Big Data Benchmark Standards Committee

1 min read

The designation “Big Data” has become a mainstream buzz phrase across many industries as well as research circles. However, today many vendors are making performance claims that are not easily verifiable in the absence of a neutral industry-wide benchmark. [The situation is not a lot different from what motivated the creation of TPC and SPEC […]

December 31, 2013

DATA CENTER

New Reference Book: Big Data Management, Technologies, and Applications

1 min read

Due to the tremendous amount of data generated daily from fields such as business, research, and sciences, big data is everywhere and represents huge opportunities to those who can use it effectively. In the past, this information was simply ignored and opportunities were missed. Realizing the great importance of big data, organizations scramble to find […]

October 28, 2013

DATA CENTER

Announcing Cisco UCS Common Platform Architecture v2 (CPA v2) for Big Data

2 min read

Also launches, Industry’s first reference architecture for Hadoop with advanced access control and encryption with IDH, first flash-enhanced reference architecture for Hadoop demonstrated using YCSB with MapR, industry’s first validated and certified solution for real-time Big Data analytics with SAP HANA, and Unleashing IT big data special edition Built up on our vision of shared […]

October 27, 2013

DATA CENTER

Unleashing IT Big Data Launch

1 min read

Unleash and Unlock There’s value in your Big Data Organizations are rethinking the realm of possibility that exists with the vast amount of data they gather and store with each IT transaction. The value of this data can unleash and unlock priceless opportunities for your business. Together with Intel, Cisco has released a special edition […]

October 21, 2013

DATA CENTER

5th ACM/SPEC International Conference on Performance Engineering (ICPE 2014)

1 min read

The International Conference on Performance Engineering (ICPE) is a leading forum focusing on the integration of theory and experience in various disciplines of performance engineering. The conference has been bringing together experts from industry, academia and research to share and discuss ideas, challenges and solutions – work-in-progress and state-of-the-art – in performance analysis, measurement  and […]