The post 5 Ways to Be Successful with Open-Source Software: Hadoop Creator Doug Cutting’s Advice for 2017 appeared first on TECHSEEN.
]]>Over the past year, we’ve seen open source technology make strong inroads into the mainstream of enterprise technology. Who would have thought that my work on Hadoop ten years ago would impact so many industries – from manufacturing to telecom to finance. They have all taken hold of the powers of the open source ecosystem not only to improve the customer experience, become more innovative and grow the bottom line, but also to support work toward the greater good of society through genomic research, precision medicine and programs to stop human trafficking, as just a few examples.
Below I’ve listed five tips for folks who are curious about how to begin working with open source and what to expect from the ever-changing ecosystem.
Constant change, this is the first lesson anyone who is new to open source technology needs to learn and one of open source’s biggest differentiators from traditional software. The nature of open source is fluid and flexible with new projects regularly being invented for specific use cases. This dynamic cycle propels products to get better faster. So, in order for companies to reap the full benefits of open source, they must be open to this change. The Spark vs. MapReduce debate is a perfect illustration of why this is important:
It’s true that folks are building fewer new applications based on MapReduce and instead are using Spark as their default data-processing engine. MapReduce is gradually being replaced as the underlying engine in tools like Hive and Pig, but that doesn’t make MapReduce obsolete. It will continue to work well for existing applications for many years, and, for certain large-scale batch loads, may remain the superior tool. This trend follows the natural evolution of open source technology: MapReduce was the 1.0 engine for the open-source data ecosystem, Spark is its 2.0 engine, and someday there will be a 3.0 that will make Spark the legacy engine.
Rather than architecting and deploying point solutions, we now have general-purpose data platforms with many tools that can be combined flexibly for search, streaming, machine learning and more. Together these aspects require not just a different set of skills but a cultural shift around management style and organizational structure. For this reason, it’s important to gain high-level support within an organization and introduce data management as an important boardroom-level discussion. I’d also recommend gradually building a new culture around a few new applications rather than replacing everything all at once to help everyone acclimate and starting with one specific use case.
As more enterprise organizations and industries embrace the cloud, they should consider open-source software that’s not only becoming more robust, scalable and secure, but which can also help them avoid cloud vendor lock-in. By building on an open-source platform, organizations can employ cloud-vendor arbitrage to keep costs down, use different clouds in different regions, or use a combination of cloud-based and on-premises systems. In fact, open-source platforms have also proven technically superior and will likely gain more ground in 2017. It’s difficult for a single vendor to compete against a large number of institutions collaborating in open source. In addition, open-source data systems now lead in performance and flexibility, and they’re improving more rapidly.
Job hunters in the fields of IT, programming and data science shouldn’t fixate on mastering individual technologies, but focus instead on understanding the best use of each of the components of the open source data ecosystem and how they can be connected to solve problems. This high-level architectural understanding is the most valuable skill to companies innovating in technology. Because as new technologies arrive, it’s crucial to understand how they fit in, what they might replace and what they might enable.
The skills gap in big data will remain relatively constant in the next year, but this shouldn’t deter people from adopting Hadoop and other open-source technologies. As most of us know, when new technologies are created and vie for users, they are known by few. Only once a particular type of software is a mature standard part of the canon do we begin to have a substantial number of folks skilled in its use — but even then the skills gap can persist. It will disappear only when we stop seeing big improvements to the stack, which I doubt we want. In short, the skills gap is one of the primary factors gating the rate of platform change, but it’s also a sign innovation is at hand.
The open-source ecosystem and its implementation in meaningful projects will continue to expand over the coming years. As an impetus for collaboration, it brings together today’s brightest minds to move software development forward at a pace not possible ten years ago. If you have an idea for improving existing technologies or want to rally behind a notion for breaking the status quo, this is the place. I encourage everyone interested to get involved and for those open source veterans to keep committing to the cause. Click here more information on joining the ASF community.
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]]>Learn how customer input and feedback is being used to shape Windows 10 and how the service’s flexibility, iteration, and quick evolution helps manage and secure new and legacy applications.
Consider shifting from a traditional wipe and load deployment to an in-place upgrade, so Windows 10 can ease your workload, utilizing your existing tools and without new infrastructure.
Explore how Windows capabilities are now delivered faster than ever, to address new security threats, new employee scenarios, and the different ways people are using PCs.
When will the next version of MDT supporting Windows be released? Is it possible to manage Configuration Manager with SC 2012 R2? What are the acronyms CBCBB and LTSB and what’s the difference?
Take this opportunity to dive deeper into these topics, at your own pace.
Presnters: Simon May, Technical Evangelist, IT Pro; Bill Karagounis, Director of Program MGMT, OS Fundamentals; Michael Niehus, Senior Product marketing Manager, Windows
Source via: Channel9 – MVA
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]]>You may have many of the best security solutions…but the security landscape has changed. Learn more about the evolution of security breaches and how to start thinking about addressing the new challenges.
With the advent of social media, people are sharing more and more online. Unknowingly, this information can put your security (and the security of your company) at risk. Learn more in this informative and thought provoking video.
Mimicking staff, recording pin numbers, being up to date on patches, are all ways that hackers identify vulnerabilities. Learn how to overcome these and many other tactics to ensure you are ready for the modern thread landscape.
You may not be able to stop the hacker, but you can make their job hard. Learn how to keep your data and devices more secure through these detailed steps.
Learn more about software vulnerabilities and the evolution of the landscape. Find suggestions and data points on how to position the full impact to your organization, and then learn how to begin your own vulnerability management.
17 best practices, some obvious and some not, on how to protect your Enterprise. Also, learn about the innovations that Windows 10 Enterprise brings to ensure you are ready for all modern security threats.
Presenters: Simon May, Technical Evangelist; Erdal Ozkaya, Chief Information Security Officer
Shared under the Creative Commons Attribution License
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]]>Watch the short tutorial.
Source: Curt Cornum
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