Welcome!

@CloudExpo Authors: Pat Romanski, Yeshim Deniz, Zakia Bouachraoui, Liz McMillan, Elizabeth White

Related Topics: @CloudExpo, @DXWorldExpo

@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
Digital Transformation: Preparing Cloud & IoT Security for the Age of Artificial Intelligence. As automation and artificial intelligence (AI) power solution development and delivery, many businesses need to build backend cloud capabilities. Well-poised organizations, marketing smart devices with AI and BlockChain capabilities prepare to refine compliance and regulatory capabilities in 2018. Volumes of health, financial, technical and privacy data, along with tightening compliance requirements by FTC, CUI/DFARS, EU-GDPR and the underlying National Cybersecurity Framework suggest the need for a ground-up re-thinking of security strategies and compliance actions. This session offers actionable advice based on case studies to demonstrate the impact of security and privacy attributes for the cloud-backed IoT and AI ecosystem.
Everyone wants the rainbow - reduced IT costs, scalability, continuity, flexibility, manageability, and innovation. But in order to get to that collaboration rainbow, you need the cloud! In this presentation, we'll cover three areas: First - the rainbow of benefits from cloud collaboration. There are many different reasons why more and more companies and institutions are moving to the cloud. Benefits include: cost savings (reducing on-prem infrastructure, reducing data center foot print, reducing IT support costs), enabling growth (ensuring a highly available, highly scalable infrastructure), increasing employee access & engagement (by having collaboration tools that are usable and available globally regardless of location there will be an increased connectedness amongst teams and individuals that will help increase both efficiency and productivity.)
Excitement and interest in APIs has skyrocketed in recent years. However, if you ask a room full of IT professionals "What is an API", you will get a wide array of answers. There exists a wide knowledge gap between API experts and those that have a general idea of what they are, but are unsure of what they have been for in the past, what they look like now, and how they can be used to expand your business in the future. In this session John will cover what the history of APIs, what an API looks like now, how APIs are used today, and why they are important to your entire organization and digital transformation. John will also cover how you can use APIs to lead your digital transformation and uncover new business opportunities within your organization.
@DevOpsSummit at Cloud Expo, taking place November 12-13 in New York City, NY, is co-located with 22nd international CloudEXPO | first international DXWorldEXPO and will feature technical sessions from a rock star conference faculty and the leading industry players in the world. The widespread success of cloud computing is driving the DevOps revolution in enterprise IT. Now as never before, development teams must communicate and collaborate in a dynamic, 24/7/365 environment. There is no time to wait for long development cycles that produce software that is obsolete at launch. DevOps may be disruptive, but it is essential.
DevOps with IBMz? You heard right. Maybe you're wondering what a developer can do to speed up the entire development cycle--coding, testing, source code management, and deployment-? In this session you will learn about how to integrate z application assets into a DevOps pipeline using familiar tools like Jenkins and UrbanCode Deploy, plus z/OSMF workflows, all of which can increase deployment speeds while simultaneously improving reliability. You will also learn how to provision mainframe system as cloud-like service.