Orlando’s Big Data Expert



April 10 , 2015 | Posted by Robert Urban |

Orlando’s Big Data Expert

At PaperBoat Media, one of the things we have always tried to be great at is in knowing “What’s Next?”. What’s next in technology, in marketing, in analytics, job trend, etc. we want to not only considered experts in current trends, but be advisers on helping bring in that new wave.

We are ambassadors of tomorrow.

We were early adopters for LinkedIn, on of the first to use FB as a marketing tool for companies, used qr codes before they became (and left) mainstream, talked mobile, built responsive,  talked about the cloud and were working, talking, consulting and staffing Big Data and Business Intelligence Roles before it became big.

(a common joke in the office is that we were working with it when it was still little data… Crickets…)

Orlando’s Big Data Expert | Big Data Consulting

Since we were early adopters, we know many of the intricacies and challenges companies had in implementing it. We understand the learning curve that it took data scientist to think of unstructured data in a whole new way. We also began building a rolodex of some of the power players in the game- Hadoop experts, data architects, nosql developers and many more.

We can provide insights on what Big Data can do for you and have the right people in our pipeline for any work that needs to be done. As the herald of tomorrow, here are five companies that are doing things right in the Big Data field that we think you should keep your eyes on. Almost all of the following have a cloud element to their offerings, reinforcing the mobile- (in the literal sense moving and also device agnostic and in the definition of mobile technology usage-smart devices) In alphabetical order, here are my favorite players in the Big Data game.

Big Data Consulting

Arcadia Data

Overview: Visual analytics and business intelligence for business users who need access to big data in enterprise Hadoop clusters without involving data scientists and other such experts. While optimized for Hadoop, customers can also use Arcadia’s technology for building browser-based apps across other data sources, including MySQL. A free download of the front-end visualization tool, Arcadia Instant, is available for Macs and Windows.


Overview: Encrypted cloud-based business intelligence and analytics for end users, regardless of technical expertise. Self-service offering works with many popular services, including Salesforce.com, Dropbox, HubSpot and Google Analytics.

Enigma ( this is my favorite-)

Overview: Data discovery and analytics, both for enterprises that want better insight into their information and for the public, which can tap into a huge collection of public records.Enigma offers enterprises the Abstract data discovery platform and Signals analytics engine, which can be used to craft customized applications


Overview: Interactive analytics to answer business questions about how customers behave and products are used. A proprietary database enables its offering to deal with billions of events.


Overview: “Revolutionizing the Machine-Learning-as-a-Service space” that you probably didn’t even realize existed. This company exploits its expertise in artificial intelligence for CRM, security analytics and data science tools, the latter of which can be used to make sense of unstructured data via self-learning algorithms.


Overview: Crafting the commercial version of the SlamData open-source project in an effort to help customers visualize semi-structured NoSQL data in a secure and manageable way. A key strength for SlamData is that it works natively with NoSQL databases like MongoDB.

Honorable Mention For Best Name- JethroData

Overview: Index-based SQL engine for big data on Hadoop that enables speedy transactions with business intelligence offerings such as those from Qlik, Tableau and MicroStrategy.

Here are the titans in the industry and an overview of what they do.

Whether your data resides on an open source framework such as Apache Hadoop or a proprietary database system, the following list — presented in alphabetical order — offers a snapshot of the types of big data storage and analytical technology available today.


What IT does: CommVault’s Simpana Platform lets users analyze, back up, recover, replicate, archive and search data across their enterprise and across any storage device, according to the company. The platform includes Simpana OnePass, which integrates archiving, backup and reporting into a single process to eliminate operational complexity and reduce cost. The products are designed to work on large-scale petabyte-level file systems and Microsoft Exchange messaging environments.

Using Simpana 9 software from CommVault, the corporation can now recover backed-up data within 75 minutes, and has an improved e-discovery system that integrates with Microsoft’s Windows Azure cloud platform.


What it does: EMC bills its Isilon platform as highly scalable storage for the big data era. Isilon is a storage and management solution for file-based, unstructured data such as audio content, video footage, large home directories, massive log files and analytical data in general. Capacity can expand from a few terabytes to 20 petabytes depending on need, the company says.


What it does: IBM’s Smarter Planet initiative offers an array of big data solutions for public safety, transportation, social services programs, tax and revenue, and education. These products often include advanced case management and predictive analytics modeling capabilities.


What it does: Informatica says its PowerCenter Enterprise product provides a platform for data integration initiatives like data governance, data migration and enterprise data warehousing. It scales to support large volumes of disparate data sources, the company says, turning raw data into actionable information.



What it does: Oracle’s Big Data Appliance is an integrated hardware and software solution for managing and analyzing large-scale data sets.



What it does: Platfora Big Data Analytics is software that processes data in Hadoop and gives a visual overview of analytics from events, actions and behaviors.


What it does: SAS offers a range of big data capabilities, but fraud detection is a big emphasis for the company. The SAS Fraud Framework helps agencies detect fraud, waste and abuse. And the company’s Visual Analytics solution is used by agencies to forecast demand for government services like Medicaid.



What it does: The company specializes in capturing and analyzing machine data — information generated by systems themselves. Splunk Enterprise software monitors and evaluates this data, giving agencies new insight into user behavior, system performance and cyberattacks.



What it does: Teradata provides cyberdefense analytic solutions; prevents fraud, waste and abuse; and improves government/citizen interactions.


What it does: Unisys offers what it calls “Big Data Analytics as a Service,” providing data scientists and data analytics environments on public and private clouds.

To learn more about Big Data from the Big Data Expert, contact PaperBoat Media’s Big data expert, Robert Urban