Welcome!

@DXWorldExpo Authors: Liz McMillan, Rostyslav Demush, Pat Romanski, Elizabeth White, Corey Roth

Related Topics: @DXWorldExpo, Java IoT, Microservices Expo, @CloudExpo, SDN Journal

@DXWorldExpo: Article

CoolaData – Consumerization of Big Data and Online User Behavior

Last week CoolaData guys announced their platform general availability

Last week CoolaData guys announced their platform general availability. The following post is based on few discussions I had with the company founders.

In his 20 years of experience working in the field of data analysis, Guy Greenberg, a co-founder of CoolaData, came to realize that there is no simple way to work out a Big Data without turning to professional services and integrating several systems. For instance, one might need to incorporate Hadoop with ETL and visualization tools. However, these types of customized Big Data projects can take months to complete, and like all complicated IT projects, they will include a system maintenance team. CoolaData has been built as a result of these circumstances and customizes business needs as if they were developed in house.

The Case: Online Users' Behavioral Analytics
The company's CEO and other co-founder, Tomer Ben Moshe, explained that the company targets online sites that want to learn their users' behavior. Although there is a world of knowledge and numerous tools to support tracking online user usage, the area is still painfully lacking. From personal experience, I can say that these tools are far from generating the transparency one need.  Calculating users' habits and workflows can aid in the learning process of what generates customer satisfaction, ultimately leading to more business and higher revenues. Comprehensive online mega services such as gaming and ecommerce companies understand the significance here, and are still building their own solutions to the understanding consumer behavior.  While large numbers of users seem to complicate the situation, even as few as a couple hundred users constitute a big data challenge.

These tools provide a great start, however once an online service begins to grow, so does the pain. We found that web companies can launch these tools quickly, however once they start growing, the companies always seem to reach a point where they are forced to build their own in-house solution. Ben Moshe.

Multiple Data Sources
The Big Data challenge is generated from multiple sources of data. The use case of tracking online users' behavior is not limited to your online product usage. Users appear all over the web and tracking behavior begins with monitoring their social activities and most recent interactions with your company. In addition with the wide selection of technical devices used to consume software products and services, it is hard to keep track of it all. Each user interface (UI) implies different experiences and habits, all of which generate a great amount of data.

According to Greenberg, business intelligence (BI) traditional tools are including functionalities such as pivoting, aggregations and visualizations. However qualitative analysis of an online user's behavior is based on a sequence of events, each of which is individually delineated. For example, conclusions may be drawn from a user's profile, workflow, time spent at a specific event and latest tweet.

Another interesting feature of CoolaData is their innovative session tracking - Sessionization. What I have learned from working with Kiss Metrics is that it is pretty challenging to define what the session route is, or when it begins or ends since online services always change. In addition, each assumption about how a session should look will most likely be incorrect. Therefore, you might want the system to build automatically, presenting and analyzing users' behavior based on multiple sessions.

CoolaData's platform includes a custom semantic query engine (CQL) that understands the connections between various data sources. It presents the relationships on a CoolaData "analytic document" that can be saved on Google Drive, embedded on other sites and shared. The CoolaData engine can also receive third-party data via API. All these make it fairly a mature product.

CoolaData's platform is based on Google Cloud Platform (GCP), which is elaborated on in the Google Cloud Blog:

Google Cloud Platform as the foundation. Hadoop and Storm run on Compute Engine, and Google App Engine serves our Semantic Layer web API. Google BigQuery enables analysis of the huge datasets we collect from a variety of sources via Google Cloud Storage Learn more

When it comes to platform as a service (PaaS), the world is still underdeveloped. IMO CoolaData, however, is a nice example of how to leverage the advanced computational capabilities of Google's infrastructure and frameworks in order to eliminate development and operational efforts that are not specific to your product values.

Final Words
CoolaData is a great example of how BigData evolution is increasingly becoming a tool for business growth. While CoolaData users may not be the most tech savvy individuals, company analysts or higher-level managers are most definitely next in line. For mega online services this capability is a must. In addition, from my experience over the last few years I tend to believe that also small organizations such as new startups with a few hundred users are also likely to find great value in tools like this, ridding themselves of the hassle associated with lower level analytics (such as Kiss Metrics).

Tracking user behavior is only one niche that companies like CoolaData can support. Big Data challenges occur with machine-generated data, leaving us at the very top of the long list to come when the cloud comes into play.

More Stories By Ofir Nachmani

Ofir Nachmani is a Cloud Computing Evangelist, Blogger and Lecturer at IAmOnDemand.com. He has extensive experience helping ISV companies with cloud adoption and management. Today, Ofir is a Senior Vice President and Chief Evangelist at Newvem Analytics Ltd. Prior to these he led ClickSoftware’s On-Demand initiative and established the company cloud offering. On his previous adventure, he led ClickSoftware’s On-Demand (SaaS) initiative and also held several positions at Zarathustra SaaS development VP of product and company CEO. In 2009, ClickSoftware acquired the AST group and Zarathustra as part of it. Twitter: @iamondemand

@BigDataExpo Stories
Agile has finally jumped the technology shark, expanding outside the software world. Enterprises are now increasingly adopting Agile practices across their organizations in order to successfully navigate the disruptive waters that threaten to drown them. In our quest for establishing change as a core competency in our organizations, this business-centric notion of Agile is an essential component of Agile Digital Transformation. In the years since the publication of the Agile Manifesto, the conn...
Business professionals no longer wonder if they'll migrate to the cloud; it's now a matter of when. The cloud environment has proved to be a major force in transitioning to an agile business model that enables quick decisions and fast implementation that solidify customer relationships. And when the cloud is combined with the power of cognitive computing, it drives innovation and transformation that achieves astounding competitive advantage.
"Software-defined storage is a big problem in this industry because so many people have different definitions as they see fit to use it," stated Peter McCallum, VP of Datacenter Solutions at FalconStor Software, in this SYS-CON.tv interview at 18th Cloud Expo, held June 7-9, 2016, at the Javits Center in New York City, NY.
Deep learning has been very successful in social sciences and specially areas where there is a lot of data. Trading is another field that can be viewed as social science with a lot of data. With the advent of Deep Learning and Big Data technologies for efficient computation, we are finally able to use the same methods in investment management as we would in face recognition or in making chat-bots. In his session at 20th Cloud Expo, Gaurav Chakravorty, co-founder and Head of Strategy Development ...
Data is the fuel that drives the machine learning algorithmic engines and ultimately provides the business value. In his session at Cloud Expo, Ed Featherston, a director and senior enterprise architect at Collaborative Consulting, discussed the key considerations around quality, volume, timeliness, and pedigree that must be dealt with in order to properly fuel that engine.
As organizations shift towards IT-as-a-service models, the need for managing and protecting data residing across physical, virtual, and now cloud environments grows with it. Commvault can ensure protection, access and E-Discovery of your data – whether in a private cloud, a Service Provider delivered public cloud, or a hybrid cloud environment – across the heterogeneous enterprise. In his general session at 18th Cloud Expo, Randy De Meno, Chief Technologist - Windows Products and Microsoft Part...
"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 their environment," stated Brad Winett, Senior Technologist for DDN Storage, in this SYS-CON.tv interview at 20th Cloud Expo, held June 6-8, 2017, at the Javits Center in New York City, NY.
Detecting internal user threats in the Big Data eco-system is challenging and cumbersome. Many organizations monitor internal usage of the Big Data eco-system using a set of alerts. This is not a scalable process given the increase in the number of alerts with the accelerating growth in data volume and user base. Organizations are increasingly leveraging machine learning to monitor only those data elements that are sensitive and critical, autonomously establish monitoring policies, and to detect...
In his keynote at 18th Cloud Expo, Andrew Keys, Co-Founder of ConsenSys Enterprise, provided an overview of the evolution of the Internet and the Database and the future of their combination – the Blockchain. 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 settl...
In his session at @ThingsExpo, Dr. Robert Cohen, an economist and senior fellow at the Economic Strategy Institute, presented the findings of a series of six detailed case studies of how large corporations are implementing IoT. The session explored how IoT has improved their economic performance, had major impacts on business models and resulted in impressive ROIs. The companies covered span manufacturing and services firms. He also explored servicification, how manufacturing firms shift from se...
DevOpsSummit New York 2018, colocated with CloudEXPO | DXWorldEXPO New York 2018 will be held November 11-13, 2018, in New York City. Digital Transformation (DX) is a major focus with the introduction of DXWorldEXPO within the program. Successful transformation requires a laser focus on being data-driven and on using all the tools available that enable transformation if they plan to survive over the long term. A total of 88% of Fortune 500 companies from a generation ago are now out of bus...
IoT solutions exploit operational data generated by Internet-connected smart “things” for the purpose of gaining operational insight and producing “better outcomes” (for example, create new business models, eliminate unscheduled maintenance, etc.). The explosive proliferation of IoT solutions will result in an exponential growth in the volume of IoT data, precipitating significant Information Governance issues: who owns the IoT data, what are the rights/duties of IoT solutions adopters towards t...
Amazon started as an online bookseller 20 years ago. Since then, it has evolved into a technology juggernaut that has disrupted multiple markets and industries and touches many aspects of our lives. It is a relentless technology and business model innovator driving disruption throughout numerous ecosystems. Amazon’s AWS revenues alone are approaching $16B a year making it one of the largest IT companies in the world. With dominant offerings in Cloud, IoT, eCommerce, Big Data, AI, Digital Assista...
Organizations planning enterprise data center consolidation and modernization projects are faced with a challenging, costly reality. Requirements to deploy modern, cloud-native applications simultaneously with traditional client/server applications are almost impossible to achieve with hardware-centric enterprise infrastructure. Compute and network infrastructure are fast moving down a software-defined path, but storage has been a laggard. Until now.
The taxi industry never saw Uber coming. Startups are a threat to incumbents like never before, and a major enabler for startups is that they are instantly “cloud ready.” If innovation moves at the pace of IT, then your company is in trouble. Why? Because your data center will not keep up with frenetic pace AWS, Microsoft and Google are rolling out new capabilities. In his session at 20th Cloud Expo, Don Browning, VP of Cloud Architecture at Turner, posited that disruption is inevitable for comp...
High-velocity engineering teams are applying not only continuous delivery processes, but also lessons in experimentation from established leaders like Amazon, Netflix, and Facebook. These companies have made experimentation a foundation for their release processes, allowing them to try out major feature releases and redesigns within smaller groups before making them broadly available. In his session at 21st Cloud Expo, Brian Lucas, Senior Staff Engineer at Optimizely, discussed how by using ne...
Digital Transformation is much more than a buzzword. The radical shift to digital mechanisms for almost every process is evident across all industries and verticals. This is often especially true in financial services, where the legacy environment is many times unable to keep up with the rapidly shifting demands of the consumer. The constant pressure to provide complete, omnichannel delivery of customer-facing solutions to meet both regulatory and customer demands is putting enormous pressure on...
@DevOpsSummit New York 2018, colocated with CloudEXPO | DXWorldEXPO New York 2018 will be held November 11-13, 2018, in New York City. From showcase success stories from early adopters and web-scale businesses, DevOps is expanding to organizations of all sizes, including the world's largest enterprises - and delivering real results.
DXWorldEXPO LLC announced today that All in Mobile, a mobile app development company from Poland, will exhibit at the 22nd International CloudEXPO | DXWorldEXPO. All In Mobile is a mobile app development company from Poland. Since 2014, they maintain passion for developing mobile applications for enterprises and startups worldwide.
Both SaaS vendors and SaaS buyers are going “all-in” to hyperscale IaaS platforms such as AWS, which is disrupting the SaaS value proposition. Why should the enterprise SaaS consumer pay for the SaaS service if their data is resident in adjacent AWS S3 buckets? If both SaaS sellers and buyers are using the same cloud tools, automation and pay-per-transaction model offered by IaaS platforms, then why not host the “shrink-wrapped” software in the customers’ cloud? Further, serverless computing, cl...