Welcome!

Server Monitoring Authors: Yeshim Deniz, Liz McMillan, Pat Romanski, Carmen Gonzalez, Ken Schwaber

Blog Feed Post

Deep Insights Into The Future of #Hadoop By @Cutting of @Cloudera

By

DougCutting

Cloudera’s Doug Cutting delivered a presentation at Hadoop World that outlined key forces driving the data world forward which shed some important insights on where enterprise technology is going. This presentation is summarized and embedded below:

Doug starts with a review of his models for predicting the future and this is important, since every model has strengths and weaknesses. His model for predicting the future of data is to take a linear approach. We know what has happened in the past and can know what is happening now so can make linear predictions on the near term future.

hardwaregetscheaper

 

For example, with hardware the past has always been that hardware gets cheaper and transistor counts go up so this cheaper hardware gets more powerful. This power and drop in price applies not just to processors but storage. The prediction this leads us to is a simple one, we will be able to store and process more data in the future and will do so more economically. Why do we care? Turns out that in parallel with this growth in capabilities in hardware is the adoption of technology. We have seen technology invade every element of industry and our personal lives and all this generates data. They leave tracks of what we are doing, what our institutions are succeeding and failing at and give us an image of ourselves and our businesses and if we look at the growth in industries they are greatest when they are automated.

Regarding software, in the past decade we have seen remarkable transition towards open source software as platform technologies. Linux and Android are obvious examples of this. The benefits and drivers for individuals and business are becoming very clear. Consider, for example, the fact that business are now built around technology. It is bad to have your business overly dependent on others in ways that increase risk and this translates to strong pushes for open source technologies. You don’t want your business to be hostage to someone else’s business. Open source avoids this lock-in and does so economically. You pay for the value you receive. So what prediction can we make from this? In the future, platforms for data must be open source. It is a basic requirement.

A key prediction can be made about open source in general and Hadoop specifically. A decade ago Doug Cutting began work on the project that became Hadoop. The community came together and made it reliable. The community enhanced its security. High availability was introduced. Improvements continued and continued. So we can generalize and predict from this. The Hadoop platform, already very capable, will continue to improve.

What has been happening around Hadoop? We have seen innovation around this platform. It started as a background component and with frameworks around it became easier to use, then new capabilities like HBase, Impala and Search. It is now very capable. The prediction to make: more and more types of workloads will be supported.

What does this mean for us all? The fact is that Hadoop now dominates in the Big Data space. It is no longer the place you come to to process data, it is the locus of your enterprise data. It lets data be shared and hardware resources be shared. People are taking workloads out of silos and bringing them into Hadoop.  We are seeing this used as an enterprise data hub.

On the topic of transactions on data: Transactions have long been thought to be out of scope for Hadoop. Doug believes this is clearly an important class of workload that is not served by the current Hadoop platform. A year ago Google published another paper describing their internal system they built for internal use that does this, demonstrating this is possible. In the past when we have seen this is possible, in two years it happens. The prediction: it is inevitable. It will come to this platform.

In Conclusion: Hadoop is playing its role as the center of an enterprise data hub. We are in the middle of a revolution in data. Revolutions can be scary times. But Hadoop provides a clear path that will endure, supporting a wide variety of workloads. Have no fear. Be comfortable adopting Hadoop.

 

Read the original blog entry...

More Stories By Bob Gourley

Bob Gourley writes on enterprise IT. He is a founder of Crucial Point and publisher of CTOvision.com

IoT & Smart Cities Stories
Nicolas Fierro is CEO of MIMIR Blockchain Solutions. He is a programmer, technologist, and operations dev who has worked with Ethereum and blockchain since 2014. His knowledge in blockchain dates to when he performed dev ops services to the Ethereum Foundation as one the privileged few developers to work with the original core team in Switzerland.
René Bostic is the Technical VP of the IBM Cloud Unit in North America. Enjoying her career with IBM during the modern millennial technological era, she is an expert in cloud computing, DevOps and emerging cloud technologies such as Blockchain. Her strengths and core competencies include a proven record of accomplishments in consensus building at all levels to assess, plan, and implement enterprise and cloud computing solutions. René is a member of the Society of Women Engineers (SWE) and a m...
Andrew Keys is Co-Founder of ConsenSys Enterprise. He comes to ConsenSys Enterprise with capital markets, technology and entrepreneurial experience. Previously, he worked for UBS investment bank in equities analysis. Later, he was responsible for the creation and distribution of life settlement products to hedge funds and investment banks. After, he co-founded a revenue cycle management company where he learned about Bitcoin and eventually Ethereal. Andrew's role at ConsenSys Enterprise is a mul...
In his general session at 19th Cloud Expo, Manish Dixit, VP of Product and Engineering at Dice, discussed how Dice leverages data insights and tools to help both tech professionals and recruiters better understand how skills relate to each other and which skills are in high demand using interactive visualizations and salary indicator tools to maximize earning potential. Manish Dixit is VP of Product and Engineering at Dice. As the leader of the Product, Engineering and Data Sciences team at D...
Dynatrace is an application performance management software company with products for the information technology departments and digital business owners of medium and large businesses. Building the Future of Monitoring with Artificial Intelligence. Today we can collect lots and lots of performance data. We build beautiful dashboards and even have fancy query languages to access and transform the data. Still performance data is a secret language only a couple of people understand. The more busine...
Whenever a new technology hits the high points of hype, everyone starts talking about it like it will solve all their business problems. Blockchain is one of those technologies. According to Gartner's latest report on the hype cycle of emerging technologies, blockchain has just passed the peak of their hype cycle curve. If you read the news articles about it, one would think it has taken over the technology world. No disruptive technology is without its challenges and potential impediments t...
If a machine can invent, does this mean the end of the patent system as we know it? The patent system, both in the US and Europe, allows companies to protect their inventions and helps foster innovation. However, Artificial Intelligence (AI) could be set to disrupt the patent system as we know it. This talk will examine how AI may change the patent landscape in the years to come. Furthermore, ways in which companies can best protect their AI related inventions will be examined from both a US and...
Bill Schmarzo, Tech Chair of "Big Data | Analytics" of upcoming CloudEXPO | DXWorldEXPO New York (November 12-13, 2018, New York City) today announced the outline and schedule of the track. "The track has been designed in experience/degree order," said Schmarzo. "So, that folks who attend the entire track can leave the conference with some of the skills necessary to get their work done when they get back to their offices. It actually ties back to some work that I'm doing at the University of San...
When talking IoT we often focus on the devices, the sensors, the hardware itself. The new smart appliances, the new smart or self-driving cars (which are amalgamations of many ‘things'). When we are looking at the world of IoT, we should take a step back, look at the big picture. What value are these devices providing. IoT is not about the devices, its about the data consumed and generated. The devices are tools, mechanisms, conduits. This paper discusses the considerations when dealing with the...
Bill Schmarzo, author of "Big Data: Understanding How Data Powers Big Business" and "Big Data MBA: Driving Business Strategies with Data Science," is responsible for setting the strategy and defining the Big Data service offerings and capabilities for EMC Global Services Big Data Practice. As the CTO for the Big Data Practice, he is responsible for working with organizations to help them identify where and how to start their big data journeys. He's written several white papers, is an avid blogge...