Welcome!

Machine Learning Authors: Elizabeth White, Pat Romanski, Yeshim Deniz, Liz McMillan, Zakia Bouachraoui

Related Topics: @CloudExpo, Machine Learning , @DXWorldExpo

@CloudExpo: Blog Feed Post

The Data Storage Explosion | @CloudExpo #Cloud #BigData #Storage

Cloud computing innovation will power enterprise transformation in 2018

Cloud computing innovation will power enterprise transformation in 2018. Cloud growth is also driving a rapid rise in the storage market, exacerbating the enterprise challenge around storage cost and complexity. The business reason behind this marketplace reality is the proliferation of real-time data from the web, mobile devices, social media, sensors, log files, and transactional applications. Big Data has also found a home on the operational side of many market verticals in applications ranging from fraud detection to the processing of video evidence.

Originally coined to describe datasets whose size stretched beyond the ability of traditional databases to manage, the term's scope has significantly expanded to include technology and services that capture, store, manage and analyze extensive collections of data, to solve complex problems. Despite concerns regarding privacy and organizational resistance, Big Data investments continue to gain momentum globally. Researchers estimate that these investments will exceed $57 Billion in 2017 alone and are expected to continue growing at a CAGR of 10% over the next three years.

In the past, this type of unexpected enterprise business investment would have led to very costly and time-consuming storage technology refresh projects. These projects also brought with them the risk of accidentally leaving data on now obsolete equipment, negatively impacting application availability or disrupting data backups. Luckily the maturation of cloud computing has delivered new options to the marketplace. Public cloud services have, in fact, wholly changed how companies consume technology. Advanced analytics, machine learning, Internet of Things, edge computing services and new database services are making these storage modernization decisions even more critical.

In meeting this storage challenge, enterprises are increasing their use of hybrid IT solution models. By shifting investments from capital acquisition to more manageable operational expenditures, these options combine the flexibility of public cloud storagewith security and permanence of traditional data center storage. Forecast shows that operational expenditures for storage services will soon start to exceed capital expenditures. For many organizations, this path has been the key to minimizing risk, boosting efficiencies and modernizing at the speed of business.

While these new hybrid storage options help your IT team shift from a reactive tactical model towards being much more strategic business partners, the selection of the right storage service provider is crucial. For Big Data applications that means the consumption of cloud object storage. The elasticity and virtually unlimited capacity of this option make it ideal for solving corporate big data storage challenges. While cloud storage is seen by many as the ideal solution, cloud service responsiveness, price and additional charges for things like API calls can make partner selection tricky. The longer you wait to shift to cloud storage, the harder it is to keep pace with rapidly increasing storage demands. If business success is your goal, start now to find a storage partner that can help bridge storage gaps, boost efficiencies, and stay ahead of your chosen market.

(This content is being syndicated through multiple channels. The opinions expressed are solely those of the author and do not represent the views of GovCloud Network, GovCloud Network Partners or any other corporation or organization.)

Cloud Musings

(Thank you. If you enjoyed this article, get free updates by email or RSS - © Copyright Kevin L. Jackson 2016)

Follow me at http://Twitter.com/Kevin_Jackson

Read the original blog entry...

More Stories By Kevin Jackson

Kevin Jackson, founder of the GovCloud Network, is an independent technology and business consultant specializing in mission critical solutions. He has served in various senior management positions including VP & GM Cloud Services NJVC, Worldwide Sales Executive for IBM and VP Program Management Office at JP Morgan Chase. His formal education includes MSEE (Computer Engineering), MA National Security & Strategic Studies and a BS Aerospace Engineering. Jackson graduated from the United States Naval Academy in 1979 and retired from the US Navy earning specialties in Space Systems Engineering, Airborne Logistics and Airborne Command and Control. He also served with the National Reconnaissance Office, Operational Support Office, providing tactical support to Navy and Marine Corps forces worldwide. Kevin is the founder and author of “Cloud Musings”, a widely followed blog that focuses on the use of cloud computing by the Federal government. He is also the editor and founder of “Government Cloud Computing” electronic magazine, published at Ulitzer.com. To set up an appointment CLICK HERE

CloudEXPO Stories
The revocation of Safe Harbor has radically affected data sovereignty strategy in the cloud. In his session at 17th Cloud Expo, Jeff Miller, Product Management at Cavirin Systems, discussed how to assess these changes across your own cloud strategy, and how you can mitigate risks previously covered under the agreement.
In his session at 21st Cloud Expo, Raju Shreewastava, founder of Big Data Trunk, provided a fun and simple way to introduce Machine Leaning to anyone and everyone. He solved a machine learning problem and demonstrated an easy way to be able to do machine learning without even coding. Raju Shreewastava is the founder of Big Data Trunk (www.BigDataTrunk.com), a Big Data Training and consulting firm with offices in the United States. He previously led the data warehouse/business intelligence and Big Data teams at Autodesk. He is a contributing author of book on Azure and Big Data published by SAMS.
Digital Initiatives create new ways of conducting business, which drive the need for increasingly advanced security and regulatory compliance challenges with exponentially more damaging consequences. In the BMC and Forbes Insights Survey in 2016, 97% of executives said they expect a rise in data breach attempts in the next 12 months. Sixty percent said operations and security teams have only a general understanding of each other’s requirements, resulting in a “SecOps gap” leaving organizations unable to mobilize to protect themselves. The result: many enterprises face unnecessary risks to data loss and production downtime.
While some developers care passionately about how data centers and clouds are architected, for most, it is only the end result that matters. To the majority of companies, technology exists to solve a business problem, and only delivers value when it is solving that problem. 2017 brings the mainstream adoption of containers for production workloads. In his session at 21st Cloud Expo, Ben McCormack, VP of Operations at Evernote, discussed how data centers of the future will be managed, how the public cloud best suits your organization, and what the future holds for operations and infrastructure engineers in a post-container world. Is a serverless world inevitable?
Extreme Computing is the ability to leverage highly performant infrastructure and software to accelerate Big Data, machine learning, HPC, and Enterprise applications. High IOPS Storage, low-latency networks, in-memory databases, GPUs and other parallel accelerators are being used to achieve faster results and help businesses make better decisions. In his session at 18th Cloud Expo, Michael O'Neill, Strategic Business Development at NVIDIA, focused on some of the unique ways extreme computing is being used on IBM Cloud, Amazon, and Microsoft Azure and how to gain access to these resources in the cloud... for FREE!