Bigdatablock 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. 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 Bigdatablock. 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. The city of Long Beach – Uses big data to find people illegally watering their lawns during non-sanctioned times which provides compliance and saves water. Bigdatablock (BDB™) combines Big Data solutions and blockchain technology utilizing Ethereum’s smart contract and token capabilities. BDB™ democratizes Big Data for everyone. Combining the best of Big Data and the best of blockchain they remove the deep technical skills and costs needed to leverage a Bigdatablock environment and becoming the first BDaaS on a blockchain.
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There are a multitude of issues currently with Big Data including but not limited to cost–it’s prohibitively expensive, accessibility–the vast majority of organizations in the world lack the capacity to implement any type of Bigdatablock solution, and security–even the largest multi-hundred million dollar Big Data environments are susceptible to being hacked. Every day, we create 2.5 quintillion bytes of data. To put that into perspective, 90 percent of the data in bthe world today has been created in the last two years alone – and with new devices, sensors and technologies emerging, the data growth rate will exponentially accelerate.
Bigdatablock make Big Data computational analysis accessible, inexpensive, and more secure. Accessible–via a simple and streamlined GUI. Inexpensive–via the simple pricing tiers with 1000% annual savings over traditional Big Data. Secure–via BDB™ encryption. By using blockchain technology they spread the computing burden across a multitude of computing devices in the BDB™ global blockchain ecosystem. BDB™ is built and optimized to focus solely on Big Data analysis and removes all the associated headaches. In addition, in order to foster the sharing of knowledge, they’ve created the BDB™ Knowledge Exchange (KE), a portal that allows people with technical and/or data science skills to offer their services to anyone that needs this help. The marketplace matches Bigdatablock customers with technical support experts.
Bigdatablock 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. Bigdatablock 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 analyze 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. 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 Bigdatablock has a worldwide obesity epidemic. Sharing and understanding scientific research data. Understanding customer buying patterns.
Bigdatablock is evolving to become the engine that drives large-scale data analysis globally. The adoption of
BDB creates an ecosystem around data and the creation of a truly democratized data economy. The users of BDB have the ability to share any component they have built with others either for free or in exchange for BDB tokens. Anything created on the system has the ability to be shared on the platform. The ability to share all creates new economic models for some as well as provides the ability to move much faster and team with others to gain a much richer view. This ecosystem supports our user-driven support model, which helps everyone reach their data goals. The BDB™ Knowledge Exchange (KE) allows people within the BDB™ ecosystem to offer their data components, data services, and/or raw data with anyone they choose to.
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Mike Kramlich – Development Lead
Bradley Townsend – Community
Bridget Groves – Project Manager
Bryan Maxwell – Art Director
Amy Davilla – Office Manager
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