Welcome!

@CloudExpo Authors: Elizabeth White, Liz McMillan, Pat Romanski, Steven Lamb, Dan Potter

Related Topics: @CloudExpo, @BigDataExpo

@CloudExpo: Article

Hadoop Moving More Toward Real-Time

Interview with Continuent CEO Robert Hodges

No discussion of the Red Hat Summit 2014 would be complete without some discussion of Apache Hadoop. The happy elephant has now been pushing data for close to a decade, its distributed file system (HDFS) setting the tone for support of modern-day, highly distributed and very large databases in the cloud.

So I was pleased to have Robert Hodges, CEO of Hadoop-focused Continuent Tungsten, answer a few questions about his company's world.

Roger: What's the scope of the challenge you face in addressing big Hadoop deployments?

Robert: Hadoop is really very powerful as the way to concentrate and analyze information, so the key issue is how the information from existing transactional data stores gets added to Hadoop without implying additional load, application changes, or repetitive dump processes.

From our existing customer deployments, we know that the biggest challenge is getting the information into Hadoop as quickly and timely as possible from multiple different hosts simultaneously. Our customers often have many more transactional hosts running MySQL than they have Hadoop hosts, just because the scale-out and sharding required to support their transactional needs is so high.

Roger: What are the key pain points?

Robert: The key pain points are therefore the extraction of data from the transactional stores without implying additional load on these servers which are running their live customer facing website, while simultaneously loading large quantities of data that needs to be merged and analysed on the Hadoop side.

The replication solution based on Tungsten Replicator provides this very simply by placing a very low-level of load required for extraction of data, while continually streaming the changes over into Hadoop. Because this can be done on a server or cluster basis, it is easy to scale up the replication of data into Hadoop by adding more streams of replication data.

Roger: How critical is the real-time aspect of modern IT? How quickly is it growing?

Robert: It's growing very quickly, and in some cases quicker than some company IT departments and the technology they support are able to cope. Replication has for a long time been the solution for this scale-out process, but the flows of this replication data are changing.

One of the key drivers behind the adoption of Hadoop and Cassandra and similar databases is the ability to parallel process the data to get numbers in real-time. You can see this in a wide range of different markets, from banking, through to social networking and online stores.

As we get access to more information, the services supporting them need to support that an ever faster rate. We all want the lowest rate on my plane ticket purchase, while receiving the absolute best benefits and service, and all those different elements rely on real-time analysis.

Roger: What does IT think of this?

Robert: Of course, this also presents a completely different problem for the IT departments. They must deal with how to get the data into a system so that it can be analyzed quickly. The location for your active transactional dataset is not the same as your analysis tools, and may be based on completely different quantities of raw data.

Transactional databases might be conveniently sharded into 50 or 100 different RDBMS of 100GB each, but analysis needs to process all 10,000GB of data collectively to get meaningful information. That means that the IT infrastructure needs an effective way to combine and transfer this active data.

It's also clear from recent advancements in querying and processing techniques built on top of Hadoop that Hadoop itself is moving into a more real-time tool. Spark, Storm and other query engines provide very fast query and analysis on very large datasets, taking advantage of the distributed nature of Hadoop, and the increasing RAM and CPU power in evolutions of new hardware. Compatibility with Spark and similar live query mechanisms in Hadoop will form a key part of the next evolution of all Hadoop deployments.

Roger: How key is the role of Big Data in developing your solutions? How important is the term Big Data to you?

Robert: Big Data has been a significant requirement for our customers and their needs for some time, but we have definitely seen a shift recently from the scale-out, sharded nature of the typical RDBMS towards concentrating that information for analysis in Big Data stores. As that movement of data moves into the real-time it will be critical to the tools we develop to help make the transfer and management of data replication as easy as possible for our customers.

To us as the provider of the tools that enable our customers to easily share and transfer data, Big Data is therefore as important to us as it is to our customers. Of course, transactional databases are not going away, and we certainly don't expect that to change, but Hadoop and other Big Data solutions are being brought to work alongside these active data stores. Continuent will certainly be looking to expand our different solutions and techniques to bridge the gap between RDBMS and Big Data.

Contact Me on Twitter

More Stories By Roger Strukhoff

Roger Strukhoff (@IoT2040) is Executive Director of the Tau Institute for Global ICT Research, with offices in Illinois and Manila. He is Conference Chair of @CloudExpo & @ThingsExpo, and Editor of SYS-CON Media's CloudComputing BigData & IoT Journals. He holds a BA from Knox College & conducted MBA studies at CSU-East Bay.

Comments (0)

Share your thoughts on this story.

Add your comment
You must be signed in to add a comment. Sign-in | Register

In accordance with our Comment Policy, we encourage comments that are on topic, relevant and to-the-point. We will remove comments that include profanity, personal attacks, racial slurs, threats of violence, or other inappropriate material that violates our Terms and Conditions, and will block users who make repeated violations. We ask all readers to expect diversity of opinion and to treat one another with dignity and respect.


@CloudExpo Stories
With 15% of enterprises adopting a hybrid IT strategy, you need to set a plan to integrate hybrid cloud throughout your infrastructure. In his session at 18th Cloud Expo, Steven Dreher, Director of Solutions Architecture at Green House Data, discussed how to plan for shifting resource requirements, overcome challenges, and implement hybrid IT alongside your existing data center assets. Highlights included anticipating workload, cost and resource calculations, integrating services on both sides...
In his session at @DevOpsSummit at 19th Cloud Expo, Yoseph Reuveni, Director of Software Engineering at Jet.com, will discuss Jet.com's journey into containerizing Microsoft-based technologies like C# and F# into Docker. He will talk about lessons learned and challenges faced, the Mono framework tryout and how they deployed everything into Azure cloud. Yoseph Reuveni is a technology leader with unique experience developing and running high throughput (over 1M tps) distributed systems with extre...
Manufacturers are embracing the Industrial Internet the same way consumers are leveraging Fitbits – to improve overall health and wellness. Both can provide consistent measurement, visibility, and suggest performance improvements customized to help reach goals. Fitbit users can view real-time data and make adjustments to increase their activity. In his session at @ThingsExpo, Mark Bernardo Professional Services Leader, Americas, at GE Digital, discussed how leveraging the Industrial Internet a...
Big Data engines are powering a lot of service businesses right now. Data is collected from users from wearable technologies, web behaviors, purchase behavior as well as several arbitrary data points we’d never think of. The demand for faster and bigger engines to crunch and serve up the data to services is growing exponentially. You see a LOT of correlation between “Cloud” and “Big Data” but on Big Data and “Hybrid,” where hybrid hosting is the sanest approach to the Big Data Infrastructure pro...
In his session at 18th Cloud Expo, Sagi Brody, Chief Technology Officer at Webair Internet Development Inc., and Logan Best, Infrastructure & Network Engineer at Webair, focused on real world deployments of DDoS mitigation strategies in every layer of the network. He gave an overview of methods to prevent these attacks and best practices on how to provide protection in complex cloud platforms. He also outlined what we have found in our experience managing and running thousands of Linux and Unix ...
Cloud analytics is dramatically altering business intelligence. Some businesses will capitalize on these promising new technologies and gain key insights that’ll help them gain competitive advantage. And others won’t. Whether you’re a business leader, an IT manager, or an analyst, we want to help you and the people you need to influence with a free copy of “Cloud Analytics for Dummies,” the essential guide to this explosive new space for business intelligence.
"My role is working with customers, helping them go through this digital transformation. I spend a lot of time talking to banks, big industries, manufacturers working through how they are integrating and transforming their IT platforms and moving them forward," explained William Morrish, General Manager Product Sales at Interoute, in this SYS-CON.tv interview at 18th Cloud Expo, held June 7-9, 2016, at the Javits Center in New York City, NY.
A critical component of any IoT project is what to do with all the data being generated. This data needs to be captured, processed, structured, and stored in a way to facilitate different kinds of queries. Traditional data warehouse and analytical systems are mature technologies that can be used to handle certain kinds of queries, but they are not always well suited to many problems, particularly when there is a need for real-time insights.
Choosing the right cloud for your workloads is a balancing act that can cost your organization time, money and aggravation - unless you get it right the first time. Economics, speed, performance, accessibility, administrative needs and security all play a vital role in dictating your approach to the cloud. Without knowing the right questions to ask, you could wind up paying for capacity you'll never need or underestimating the resources required to run your applications.
"Software-defined storage is a big problem in this industry because so many people have different definitions as they see fit to use it," stated Peter McCallum, VP of Datacenter Solutions at FalconStor Software, in this SYS-CON.tv interview at 18th Cloud Expo, held June 7-9, 2016, at the Javits Center in New York City, NY.
Enterprise networks are complex. Moreover, they were designed and deployed to meet a specific set of business requirements at a specific point in time. But, the adoption of cloud services, new business applications and intensifying security policies, among other factors, require IT organizations to continuously deploy configuration changes. Therefore, enterprises are looking for better ways to automate the management of their networks while still leveraging existing capabilities, optimizing perf...
The best-practices for building IoT applications with Go Code that attendees can use to build their own IoT applications. In his session at @ThingsExpo, Indraneel Mitra, Senior Solutions Architect & Technology Evangelist at Cognizant, provided valuable information and resources for both novice and experienced developers on how to get started with IoT and Golang in a day. He also provided information on how to use Intel Arduino Kit, Go Robotics API and AWS IoT stack to build an application tha...
IoT generates lots of temporal data. But how do you unlock its value? You need to discover patterns that are repeatable in vast quantities of data, understand their meaning, and implement scalable monitoring across multiple data streams in order to monetize the discoveries and insights. Motif discovery and deep learning platforms are emerging to visualize sensor data, to search for patterns and to build application that can monitor real time streams efficiently. In his session at @ThingsExpo, ...
You think you know what’s in your data. But do you? Most organizations are now aware of the business intelligence represented by their data. Data science stands to take this to a level you never thought of – literally. The techniques of data science, when used with the capabilities of Big Data technologies, can make connections you had not yet imagined, helping you discover new insights and ask new questions of your data. In his session at @ThingsExpo, Sarbjit Sarkaria, data science team lead ...
Extracting business value from Internet of Things (IoT) data doesn’t happen overnight. There are several requirements that must be satisfied, including IoT device enablement, data analysis, real-time detection of complex events and automated orchestration of actions. Unfortunately, too many companies fall short in achieving their business goals by implementing incomplete solutions or not focusing on tangible use cases. In his general session at @ThingsExpo, Dave McCarthy, Director of Products...
Amazon has gradually rolled out parts of its IoT offerings in the last year, but these are just the tip of the iceberg. In addition to optimizing their back-end AWS offerings, Amazon is laying the ground work to be a major force in IoT – especially in the connected home and office. Amazon is extending its reach by building on its dominant Cloud IoT platform, its Dash Button strategy, recently announced Replenishment Services, the Echo/Alexa voice recognition control platform, the 6-7 strategic...
Aspose.Total for .NET is the most complete package of all file format APIs for .NET as offered by Aspose. It empowers developers to create, edit, render, print and convert between a wide range of popular document formats within any .NET, C#, ASP.NET and VB.NET applications. Aspose compiles all .NET APIs on a daily basis to ensure that it contains the most up to date versions of each of Aspose .NET APIs. If a new .NET API or a new version of existing APIs is released during the subscription peri...
Verizon Communications Inc. (NYSE, Nasdaq: VZ) and Yahoo! Inc. (Nasdaq: YHOO) have entered into a definitive agreement under which Verizon will acquire Yahoo's operating business for approximately $4.83 billion in cash, subject to customary closing adjustments. Yahoo informs, connects and entertains a global audience of more than 1 billion monthly active users** -- including 600 million monthly active mobile users*** through its search, communications and digital content products. Yahoo also co...
Ixia (Nasdaq: XXIA) has announced that NoviFlow Inc.has deployed IxNetwork® to validate the company’s designs and accelerate the delivery of its proven, reliable products. Based in Montréal, NoviFlow Inc. supports network carriers, hyperscale data center operators, and enterprises seeking greater network control and flexibility, network scalability, and the capacity to handle extremely large numbers of flows, while maintaining maximum network performance. To meet these requirements, NoviFlow in...
As companies gain momentum, the need to maintain high quality products can outstrip their development team’s bandwidth for QA. Building out a large QA team (whether in-house or outsourced) can slow down development and significantly increases costs. This eBook takes QA profiles from 5 companies who successfully scaled up production without building a large QA team and includes: What to consider when choosing CI/CD tools How culture and communication can make or break implementation