One - Data is king!
Five attributes of data - Velocity, Volume, Variety, Veracity and Value.
Loss of essence happens in Natural (Data) to Digital (Data) transformation. If there is no loss of essence in mapping(transformation) natural things to digital then it may be termed as Godly Transformation. The main actor here is data, that's why we call it King! Data is King! As human civilization is advancing, value, variety, velocity, veracity and volume of the data is changing, let us call it Big Data. “The King has many incarnations”! If we are talking about The King! Then where is the Queen? No, we should say, where are the queens? The King got married to Computing! If Data Processing is Computing then Big Data Processing may be called Cloud computing. Processed Data may be called Information. Processed information may be called Knowledge! Processed knowledge may be called Intelligence! Human civilization is further advancing therefore more disruptions are expected. Are we ready for those disruptions? I guess, NO! We need to go beyond the intelligence, so what is beyond the intelligence? Making machines intelligent is definitely a step beyond intelligence. How do we make machines intelligent? By making the machines learn by itself or Machine Learning. As we said that Data is Changing. Why is data changing? How data is changing? Who is changing the data? These sorts of questions every now and then comes to mind? Let us talk about one very important thing about Data and that is Stakeholder of the data. If a Data is getting changed without its stakeholders knowledge then that change may be termed as illegitimate. If data changes are time stamped with its all stakeholders permission then those changes may be termed as legitimate changes. Public and private data may be the two categories of data a well established human system may have. Bringing transparency in data transformation has been the desire of humankind from the day one of the data. Blockchain as of now brings that transparency to data transformation.
On top of the following { 1 (Data), 2 (Data Extraction and Usage), 3 (Infrastructure, Platform and Software), 4(Public, private, hybrid and community deployment), 5(On Demand, Broad Network Access, Shared Resources Pool, Elastic and Metered Services), 6(Variable and Capital Expenses, Economies of Scale, Increased Agility and Speed, Focus on Business Differentiators, Stop Guessing Capacity, Global in Minutes) } lies - Modularity, Abstraction, Orchestration and Distribution.
However, underneath of the following { 1 (Data), 2 (Data Extraction and Usage), 3 (Infrastructure, Platform and Software), 4(Public, private, hybrid and community deployment), 5(On Demand, Broad Network Access, Shared Resources Pool, Elastic and Metered Services), 6(Variable and Capital Expenses, Economies of Scale, Increased Agility and Speed, Focus on Business Differentiators, Stop Guessing Capacity, Global in Minutes) } lies-Compute, Storage and Network for processing, storing and communication of DATA THE KING!
Five attributes of data - Velocity, Volume, Variety, Veracity and Value.
Extraction and Visualization of Data.
Infrastructure, Platform and Software as Services.
Public, Private, Hybrid and Community Deployments.
On Demand, Broad Network Access, Shared Resources Pool, Elastic and Metered Services.
Variable and Capital Expenses, Economies of Scale, Increased Agility and Speed, Focus on Business Differentiators, Stop Guessing Capacity, Global in Minutes.
Tachyon Knowledge was founded in 2010 by a team of particle physicists, IP analysts, technology evangelists, and software architects, with the goal of pursuing the highest level of independent research in service sectors. Our mission at Tachyon is to help people build better things, faster, by bridging the gaps between a company's project needs and resource skill sets.
This is an iterative work, used for demonstrating the concepts for hosting an application/website - from Legacy ways to the current state of the art!
Problem Statement: One makes many spontaneous decisions, takes time to decide what career she/he should start with, starts with a job (service/research/business)! Things could be much better if she/he analyses the decision, she/he could take quicker career decisions:-)
Solution:Tachyon Knowledge with an Idea of “Hear the Unheard and Know the Unknown”. Only ideas with a good intent where DATA would be the key actor! The modern jobs are infrastructure/DATA intensive, how we access the infrastructure to process our DATA is one of the key differentiators!
Following is the simple use case!!!
Infrastructure: In a VM on VMWare infrastructure at Co-Located Center! S/W: VMWare/Linux/Apache/Mysql/php/Drupal LMS!
2011: As it was only a research workload so there was no external traffic and no earning hence we started exploring OpenStack for Tachyon Knowledge as a private cloud but realised early that there may be better available options.
2012: To make the LMS up and running 24*7, we migrated to shared hosting! Cost and security were two reasons we started exploring something better!
2018: Finally after evaluating Azure, GCP and AWS we decided to migrate to Multi-Cloud-hybrid mode.
2022: Serverless and Serverless Containers would be key contributors towards better user experience, we started investing in that direction!
2023: Data Warehouse for Analysing structured data, (Operational) DynamoDB and (Analytical) Redshift!
2024: Data Lake for structured and unstructured data with centralized governance!
2025: Data Mesh for Decentralized governance!
With supporters ranging from industries, universities and start-ups, Tachyon Knowledge has shown a different approach towards technology research and learning. Best way to learn is by doing!.