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big data, forever.

BIG DATA BLOCK (BDB) Makes Big Data Computational Analysis Accessible, Affordable, And Secure, For Everyone.

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Big Data & Blockchain

Two great things, better together

Big Data Block is changing the future of big data processing by combining open source software that connects massive networks of computers to orchestrate large tasks, and the decentralized nodes of a global blockchain network. Two great things, even better together.

Blockchain & Big Data need each other

Big data analysis is currently only available to large organizations capable of building massive large scale data computing environments which are prohibitively expensive to build, run, and maintain. BDB removes all of the headaches associated with big data processing by using blockchain technology to spread the computing burden across computers within BDB’s ecosystem.

Understanding Big Data

Big data is a term used for data sets that are very large or complex where traditional data processing application software is inadequate to handle processing the scale of information quickly and cost-effectively. Big data challenges include capturing data, data storage, data analysis, search, sharing, transfer, visualization, querying, updating and information privacy.

What value does Big Data bring to companies?

Organizations both large and small are recognizing that they can make smarter decisions by processing and analyzing all the data they have. In today’s information economy data has evolved into a minable asset. These assets need to be analyzed in real time because small changes in the data have to be understood very quickly. By leveraging the power of big data companies can now look at much larger datasets with greater speed providing insights that deliver value and a competitive advantage.

Understanding how Big Data Block will use
the blockchain and tokens

The BDB token utilizes Ethereum which will manage the entire job creation, job metadata (detail about the job), payment for assisting in the job processing, and the full auditability of the end to end transaction. Ethereum provides the framework for all of this with its smart contract and distributed ledger capabilities.

The tracking mechanism to make this all happen is a token. This token is used and allows for final payment of the job to the nodes that assisted in the data processing. A user will get BDB’s through the token sale or via purchase on exchanges and these tokens are the mechanism to track the end to end job and the detail about each job. This will also be the mechanism used to compensate those that made their nodes available to process the data.

How Does Big Data Block Work?

While big data is very popular now it still requires a fair amount of technical expertise and expense to implement. Hiring or contracting big data experts is expensive. Scaling a big data environment also requires significant technical capabilities. Large companies with deep pockets can do this, but not everyone can. That’s the problem we are solving. We are democratizing big data analysis.


What is big data?

Big data is a term used for data sets that are very large or complex where traditional data processing application software is inadequate to handle processing the scale of information quickly and cost-effectively. Big data challenges include capturing data, data storage, data analysis, search, sharing, transfer, visualization, querying, updating and information privacy.

Here are some examples:

Facebook – Uses big data to process all the posts, likes, pictures and more for many years. How do they know who to connect you to? Targeted Ads? Who’s most likely to be single soon? These are all answered with big data.

World Health Organization – Uses big data to pull information from all over the world to help prevent diseases and understand where to allocate resources and drive impact.

Capital One – Leverages big data to understand their customer’s spending habits so they can better tailor their products to real needs.

City of Long Beach – Uses big data to find people illegally watering their lawns during non-sanctioned times which provides compliance and saves water.

What technology is behind big data?

The most common technology solution to solve big data processing is Hadoop; which takes the classic data processing paradigm but looks at it from a more standard software development mindset.  The classic way people manage data is utilizing large database systems that centralize the processing of this data into large monolithic systems like Oracle or SQL Server or Teradata.  The issue is running a large monolithic database application to manage and process data requires meticulous and time-consuming structuring can be difficult and expensive to scale at large sizes.  Hadoop moved away from structured data and created a distributed model to process data more horizontally, distributed to any number of computers or nodes.  The raw processing power is across a large number of nodes and the processing is broken up so the jobs can be run in smaller chunks across a truly distributed system.

What value does big data bring?

Organizations large and small are recognizing that they can make smarter decisions by processing and analyzing all the data they have. In today’s information economy data has evolved into a minable asset. These assets need to be analyzed in real time because small changes in the data have to be understood instantly. By leveraging the power of big data, companies can now look at much larger datasets with greater speed, providing insights that deliver value and competitive advantage.

Some examples would be:

– Determining operational efficiencies across large technology installations using log data.  

– Determining all customer interactions across many large websites.  

– Gathering disease data from all over the world.  

– Understanding who is invested in blockchain technology.  Analyzing worldwide patent data to determine innovation trends.  

Understanding why we have a worldwide obesity epidemic.

– Sharing and understanding scientific research data.

– Understanding customer buying patterns.

What is blockchain?

Blockchain and big data share many similarities.  Blockchain at its core is simply a distributed ledger.  Any transaction needs to be validated and verified.  When you make a credit card purchase the card issuer validates that you have enough available credit and eventually transfer these funds to the seller.  This is an example of a centralized ledger.  The bank controls this information and controls the decision-making process.  This is fine if the market always wants to rely on large expensive organizations to do this.  What if I am just a small website selling goods and I want to transact in a very cheap way that cuts out these people in the middle all taking a fee.  I could earn more for myself and get paid instantly.  This is what something like bitcoin can provide.  The bitcoin network consists of individual nodes or miners processing these transactions for a very small fee paid to them in bitcoin.  The distributed nature also makes this very secure as no one node has all the transaction data.  They each process a block of the info and then when all blocks are processed the transaction is approved and money is transferred.  There is no settlement process either so people get their money immediately.  This allows for global scale transaction processing at low cost that’s also highly secure.

Is Ethereum a kind of blockchain?

Ethereum takes the distributed ledger concept a step further and allows true business logic to sit on top of the distributed ledger allowing for intelligence to be added into the process.  Using the website example above let’s pretend the website sells software development work and the payout structure depends on meeting certain milestones.  If you were using a standard transaction processing distributed ledger like bitcoin, you would have to take on the task of building all this logic into your website to manage and track all the work and the milestones and potentially manually manage the payments.  Using Ethereum you could build all of this logic into what’s called a smart contract.  This smart contract has the logic needed to manage all of this so you don’t have to.  You have to do the development to manage the smart contract but once that’s done the whole process is now automated.  This ability has taken the whole blockchain concept to a new level.

Why big data and blockchain?

While big data is very popular now it still requires a fair amount of technical expertise and expense to implement.  Big data is one of the hottest skills right now and hiring or contracting is expensive.  Running Big data at scale also requires significant technical capabilities.  Large companies with deep pockets can do this, but not everyone can.  That’s the problem we are solving. We are democratizing big data.

It’s  possible to create a very small managed big data instance that can run on nodes on computers globally.  The ability to send a big data job into a decentralized big data environment creates infinite scale and lowers the cost to run these jobs dramatically.  The benefit for those running these nodes is payment in BDB tokens.  Our intuitive interface allows jobs to be submitted with just a few clicks.  Very little technical knowledge is needed to run these previously complex and expensive jobs and you only pay when you need a job run.  All that is needed is the data, the metadata about this data, and the rules for analyzing the data.  The job is run on as many nodes as are available and returned to the requestor.

Another significant advantage BDB is overall data security as data is spread across many nodes and all the data is destroyed after each job is run leaving no trail and no data to be hacked.

What is a real world example of how a typical job would work?

Sara runs a company that owns and operates a small solar farm to provide energy to her local area.  This farm collects a lot of log data from all the solar panels.  She is a small energy producer so every dollar counts and she wants to be sure her solar panels are as optimized as possible.  She is collecting all this log data but doesn’t have a large tech staff nor does she have the experience to parse it all and gain any real insight from it. Here’s where BDB comes in.   With BDB Sara can now take all the data and create performance ranges from highest to lowest of the energy output of each of her solar panels.  This will immediately tell her which panels are the best and worst performing.  From this data she can then look into the individual logs for the worst performing and see if there are obvious indications of any issue with those panels.  

Sara simply logs into the BDB portal and defines her BDB job.   Once the job is set up the system will determine the size and complexity and provide a cost in BDB’s and Sara can decide if she would like to execute the job.  She executes this job at a cost of $38 USD.  The data is then uploaded to the BDB system which processes and sends the output file back to our secure landing zone for Sara to let her know her job is done!  Sara decides to run this job weekly and pays less than $155 per month!


The Big Data Block team has the perfect talent mix, with over a century of cumulative experience. Our team is great, and growing. We manage a team of developers, designers, and office staff who all support our exciting vision.

Jason Cohen


Jason has worked as a technology leader for over 20 years. His experience ranges from leading small teams as CTO to leading large scale development organizations of over 100 people. His focus has been on software and big data development technologies. He is a passionate technologist with a heavy focus on open source development utilizing the most current tools. Managing large scale data environments has been a particular focus area going all the way back to his software company consulting days. His more recent focus on blockchain has allowed him to rethink how Big Data is managed leading to his current role as CEO/CTO of Big Data Block.

Jason believes in bringing smart people together to solve real world problems. He is comfortable sitting in a room full of developers reviewing code or presenting in front of a board room full of executives. He feels strongly that technology should be available to everyone not just those that can afford it. This belief was pivotal in his decision to leave his technology leadership position at TransUnion to create a blockchain based big data platform for the masses.

Simeon Schnapper

VP Business Development

A creative and international team player, who has led several successful teams in the forefront of trending new industries. C-Suite level responsibilities included raising capital, building teams, market analysis, strategic planning and sustaining a culture to support the business mission and objectives. Practical experience includes executive management in technology, entertainment and nonprofits. An accomplished entrepreneur, who can lead teams to profitability and innovation. Simeon has been involved in blockchain and cryptocurrencies since 2011 and has led enterprise and data initiatives since the mid 90s across several large fortune brands.

Jim Falvey

General Counsel

Jim is a specialist in commodities, derivatives, securities and FinTech/Reg Tech, including all of the changes resulting from the Dodd-Frank Act of 2010 and the JOBS Act of 2012. He works with financial exchanges and various market participants including, for example, futures commission merchants/broker dealers, commodity trading advisors, commodity pool operators, swap dealers, and investment advisers. Over the past 5 years, Jim has been very active in work on cryptocurrencies, Initial Coin Offerings and Blockchain. He has spoken at numerous conferences, participated as a guest on the world’s largest public radio station (out of the U.K.), written several articles and has been quoted in various media all on the “crypto-world.” He is currently working on three ICOs, as well as helping to establish a media company devoted to the crypto-world, FinTech and RegTech.

Jim worked with Jason Cohen at Ocean Tomo (“OT”) approximately 10 years ago. Jim served as General Counsel for OT. Jim has also served as General Counsel at the Intercontinental Exchange (“ICE”)(which currently owns the New York Stock Exchange), EurexUS, RJ O’Brien and Green Key Technologies. He also previously was Chief Administrative Officer for the U.S. Futures Exchange. Jim has worked in a number of government positions, including as a Legislative Assistant for U.S. Rep. Fred Upton, Law Clerk for U.S. District Court Judge Richard Enslen, and appointed member of the Technology Advisory Committee for the Commodity Futures Trading Commission.

Jim has taught courses on derivatives and FinTech at the Chicago Kent School of Law and a Commodity Market course at Penn State University. He graduated from the University of Notre Dame with a BA/Government; Georgetown University Law Center with a JD; and Northwestern/Kellogg School of Management with an MBA.

brett Singer

VP Marketing

Brett has worked at the highest levels of creativity across several industries during his career. His experience in design, film, video production and marketing goes back over 25 years. His experience brings a wide range of skills to his clients; Design, Writing, Production, Director, Editorial, Marketing or as a Creative Consultant. Brett knows that orchestrating creativity is more effective than ordering results, and that the best idea always wins. The single greatest professional thrill he enjoys is finding the right people, for the right job and making sure they have everything they need (time, resources, creative inspiration) to do what they love, and to do it better than they've ever done it before.

Dan Fisher

Creative Director

Communicating ideas, big and small, has been Dan's primary mission for over twenty years, with earned experience in the broadcast television, internal communications, and business to business sectors. The one constant throughout it all has been Dan's love for story. Today Dan happily finds himself wrapped up inside the incredible story of a technical revolution which ultimately has lead to Big Data Block's big data revolution. A graduate of NYU's Tisch School of the Arts, Dan hopped from coast to coast for nearly a decade, working in New York City and Hollywood, before joining The Oprah Show and receiving an Emmy award for his Editorial work with Ms. Winfrey.


Big Data Block is honored to call a number of distinguished technologists, data scientists, and executives our advisors. Our Advisory Board is growing daily.

Atif Farid Mohammad

Atif Farid Mohammad, Ph.D.

AI/Data Science Advisor

Dr. Atif is a Senior Data Scientist with AI Blockchain and Big Data Architect with diversified experience in the areas of traditional and non-traditional technology stacks, such as Data Science, Machine Learning, Threat Intelligence, Big Data and NoSQL (Cloudera, Hortonworks, MapR, Apache Spark & SparkR).

Atif is a Big Data Architect and Data Science Evangelist with diversified experience as individual Software Engineering and Big Data SME experience in the areas of traditional and non-traditional technology stacks, such as Database Management Systems, Threat Intelligence, Big Data and Data Science. He has been an invited speaker at South Sound Technology Conference at University of Washington at Tacoma, WA on the topic of Health Informatics Security, and an invited panel speaker about "Emerging Technologies and Big Data" at Washington Technology Forum. Atif has more than twenty (20) years experience of Software Engineering, professional Business Systems Analysis, Design & application development and staff management for diversified business and educational organizations. These constitute commercial and academic institutions, oil, automobile distribution, couriers and garments manufacturing establishments. He has built systems using various application development tools and relational database management systems (RDBMS). Applications designed, developed, tested and deployed by him ranged from Personnel & Payroll, Sales, Purchase, Daily Courier Operations management, Quality Assurance & Inventory control of various types. Atif's 10 year goal from 2013 to 2023 is to become a Level 5 Leader to lead by example.

Mark van Rijmenam


Mark van Rijmenam is the founder of Datafloq. He is an expert on AI, Blockchain and Big Data, a highly sought-after speaker and author of the book Think Bigger and co-author of the book 'Blockchain: Transforming Your Business and Our World'. He is named a global top 10 Big Data influencer and one of the most influential Blockchain people. He is pursuing a PhD at the University of Technology, Sydney on how organizations should deal with Big Data, Blockchain and AI and he is a faculty member of the Blockchain Research Institute.

Gino Yu


Dr. Gino Yu received his BS and PhD at the University of California at Berkeley in 1987 and 1993 respectively. After receiving his PhD, he taught at the University of Southern California and worked to establish multimedia initiatives including the Integrated Media Systems Center. From 1995 to 1997, he taught at the Hong Kong University of Science and Technology where he helped to establish the Center for Enhanced Learning Technologies. In 1999, he established the Multimedia Innovation Centre at the Hong Kong Polytechnic University (PolyU), a leading edge think tank and research centre on digital entertainment. He is currently an Associate Professor and Director of Digital Entertainment and Game Development in the School of Design at PolyU where he founded M-Lab, a commercial digital entertainment entity that provides consulting, research, instruction and new ideas for the industry. His main area research interests involve the application of media technologies to cultivate creativity and promote enlightened consciousness. Dr. Yu also founded the Hong Kong Digital Entertainment Association, the annual Consciousness, Science, Technology Conference, and Society and Asia Consciousness Festival. He hosted many events including TEDxHongKong, Wikimania, Toward a Science of Consciousness, and Meaningful Media. Additionally, Gino is a sought-after speaker on Blockchain and other emergent technologies and serves as an advisor to several leading-edge endeavors including SingularityNET, the Global Blockchain Foundation and Hanson Robotics.

Enzo Villani


Enzo has over 25 years of high-impact strategy, brand, financial communications and merger and acquisition experience. He is Managing Director at Transform Group, where he oversees strategy, corporate development, ICO/STO consulting. Enzo is currently advising SwarmFund, IDEX, AlphaNetworks, Aikon, Fluid Capital, CG Blockchain, Millennium Blockchain, and Zed Networks. He has raised over $500 million to develop and build strategic companies and business lines that are innovative and sector-leading. Previously, Enzo was CEO of, the world’s largest middle-market and emerging growth company content publisher. Enzo was Managing Director for the NASDAQ stock exchange, where he co-founded NASDAQ Global Corporate Solutions Group, which now has more than18,000 corporate clients today. He also co-founded and became Chief Strategy Officer for the communications investment fund SAGE Holdings, where he completed a $200 million strategic M&A roll-up of five Tier-1 communications firms, including DF King & Co. Enzo has spoken on financial communications, marketing and the capital markets across the world. He has lectured at Clarkson University and the State University of New York on Entrepreneurship, Finance, and Marketing. He holds an MBA from Cornell University.

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