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Big Data: Enterprise Class Machine Learning with Spark and MLbase
New Infrastructure Aims at Economical, In-memory, Large Scale Machine Learning

Machine Learning is a critical part of extracting value from Big Data. Choosing proper model, preparing data and getting usable results on large scale data is non-trivial exercise. Typically process consists of model prototyping using higher level, (mostly) single machine based tool like R, Matlab, Weka, then coding in Java or some other language for large scale deployment. This process is fairly involved, error prone, slow and inefficient.

Existing tools aiming at automating and improving this process are still somewhat immature and wide scale Machine Learning enterprise adoption is still low. Efforts are under way to address this gap i.e. to make enterprise class Machine Learning more accessible and easier.

Spark is new, purpose-built, distributed, in-memory engine that makes it possible to perform compute intensive jobs on commodity hardware clusters. One of applications Spark is targeted and especially suitable for is Machine Learning, key part in getting actionable insights from Big Data.

Machine Learning is compute intensive application, characterized by many iterative passes through data until optimal solution is found, and Spark is natural fit for such workloads.

MLbase (open source project) is ML platform  implemented on top of Spark which aims at easier and more productive implementation of ML algorithms.

Arguably most interesting part of MLbase will be ML Optimizer ( not released yet ), which will automate the task of choosing models.

Choosing proper model is difficult task and there are quite a few attempts to automate this process (one of the most interesting available products is Google Prediction API, a Cloud service which automatically evaluates, picks and executes model on submitted data).

About Ranko Mosic
Ranko Mosic, BScEng, is specializing in Big Data/Data Architecture consulting services ( database/data architecture, machine learning ). His clients are in finance, retail, telecommunications industries. Ranko is welcoming inquiries about his availability for consulting engagements and can be reached at 408-757-0053 or [email protected]

Silicon Valley Faculty Highlight
"At the keynote this morning we spoke about the value proposition of Nutanix, of having a DevOps culture and a mindset, and the business outcomes of achieving agility and scale, which everybody here is trying to accomplish," noted Mark Lavi, DevOps Solution Architect at Nutanix, in this SYS-CON.tv interview at @DevOpsSummit at 20th Cloud Expo, held June 6-8, 2017, at the Javits Center in New York City, NY.
The Software Defined Data Center (SDDC), which enables organizations to seamlessly run in a hybrid cloud model (public + private cloud), is here to stay. IDC estimates that the software-defined networking market will be valued at $3.7 billion by 2016. Security is a key component and benefit of the SDDC, and offers an opportunity to build security 'from the ground up' and weave it into the environment from day one. In his session at 16th Cloud Expo, Reuven Harrison, CTO and Co-Founder of Tufin, will discuss the main security considerations enterprises face when rolling out SDDCs and how they can harness key functionality of a virtual environment to achieve more granular security controls across hybrid environments.
CloudEXPO.TV
"We were founded in 2003 and the way we were founded was about good backup and good disaster recovery for our clients, and for the last 20 years we've been pret...
"Cloud computing is certainly changing how people consume storage, how they use it, and what they use it for. It's also making people rethink how they architect...
CloudEXPO TV Power Panels
New competitors, disruptive technologies, and growing expectations are pushing every business to both adopt and deliver new digital services. This ‘Digital Tran...
Discussions of cloud computing have evolved in recent years from a focus on specific types of cloud, to a world of hybrid cloud, and to a world dominated by the...
Testimonials
This week I had the pleasure of delivering the opening keynote at Cloud Expo New York. It was amazing to be back in the great city of New York with thousands of cloud enthusiasts eager to learn about the next step on their journey to embracing a cloud-first worldl."
@SteveMar_Msft
 
How does Cloud Expo do it every year? Another INCREDIBLE show - our heads are spinning - so fun and informative."
@SOASoftwareInc
 
Thank you @ThingsExpo for such a great event. All of the people we met over the past three days makes us confident IoT has a bright future."
@Cnnct2me
 
One of the best conferences we have attended in a while. Great job, Cloud Expo team! Keep it going."

@Flexential


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