WhereOS

Create Powerful Analytics Solutions

WhereOS is a new cloud based operating system for distributed, data driven applications, that’s built on top of Apache Spark. WhereOS makes it easier to build, host, distribute and share applications built using (big) data.   

WhereOS lives in the cloud, which means no local data center installations are required – with WhereOS you just focus on working with your data and delivering insightful applications on top of it.

WhereOS provides all the required tools to create analytics apps out-of-the-box: ingesting data, cleaning & transforming the data, creating models out of the data, exposing the data and models through APIs, and developing visualizations and apps on top of the APIs.

Deploy Your First Application in 15 Minutes

It only takes 15 minutes to get started with WhereOS. In 15 minutes you have your first application installed and up and running, and ready to do further development.

SQL, R and Java Programming Languages

WhereOS can be programmed through SQL programming language including built-in functions for ETL (extract, transform, load) operations, statistical analysis, geographical and spatial analysis, data visualization etc.  Programs written in WhereOS applications are always executed as distributed processes, without developers explicitly design their applications for parallel processing and scalability.

WhereOS uses Apache Spark as the execution engine for the applications. WhereOS can be extended through two types of drivers: function and data asset drivers. Function drivers can introduce any new Hive/SparkSQL functions, to implement new features for the SQL language. The function drivers can be developed with R or Java. Data asset drivers provide new ways of integrating data formats and/or data transmission protocols into the system and are written with Java.

Speed Up Development with WhereOS Store

Our mission is to speed up development of analytics solutions and data driven applications – make developers and data scientists superstars. WhereOS Store is a key element to this: It is a place where developers can share applications, data and drivers with each other. It’s a place where you can find software and components, so that you don’t need to start new projects from scratch, but you pick and choose the right elements that hopefully get 90% done already for your new project.

Machine Learning, AI, Visualizations, Analytics, Geospacial Applications …

You might ask ‘What can I do with WhereOS?’ You can do a lot. Actually, I can’t imagine a thing that couldn’t be done 🙂 Take a look at some sample apps in apps.whereos.com. WhereOS provides to foundation for data intake, parallel computing, turning your data into models, exposing the models through APIs and developing apps on top of the APIs. What you actually decide to implement is up to you, only the sky is the limit. When you use WhereOS, you don’t need to think about data formats, protocols, parallelization, hosting, scheduling, dependencies, APIs – you just work on your data using WhereOS and all of the above mentioned are provided by the platform out-of-the box.

DataOps

WhereOS is the operating system for future hyperconnected world and data operations. It enables business to gather data, turn it into valuable insights and deliver to right channels at the right time.

Businesses are getting more and more connected to online, cloud based information systems as a part of their business processes. Customers are accessing companies’ online services 24/7 through different interfaces: sensors, products and services. Customers are generating more and more information about their behavior – location, movement, social interactions, purchases and so forth – all tied to geographical locations. Businesses, on the other hand, are still running on legacy systems, where data is collected in different silos, and just-in-time delivery of data to the right interfaces becomes the key to success for future enterprises.

With WhereOS it’s easy to collect data from any file formats, from any APIs and through any protocols, transform it into value adding data objects and models, and delivering it to the right channels (customer products, management systems such as ERP and CRM, developer APIs, internal reports, customer reports, consumer applications and so forth) at the right time.

Superstar Developers

Our goal is to make developers, designers and data scientists superstars: help them do create and host applications that are based on data – whether the applications are artificial intelligence, machine learning, visualisation, analytics, geographical data or other applications. And all of this should happen in minutes, days or weeks, rather than in months or years.

How do I get started?

Read the articles in the Getting Started category in WhereOS Community. It takes only 15 minutes to register and start your first WhereOS installation and run the “Hello World” application on it.

-JP

Be Faster

How Can WhereOS Make Me Faster?

WhereOS is about productivity and speed of development – with WhereOS, you can get started in 15 minutes to deploy your first data driven application in the cloud.

The story behind WhereOS is following: before I started developing WhereOS, I was working on many different big data projects, and saw the same pattern repeating over and over.

  1. First, you put together a software stack from a mixture of open source and/or commercial products
  2. You gather and normalise the data that resides in different systems across the corporate and 3rd party systems and in different formats and protocols
  3. You apply the selected data processing/machine learning/artificial intelligence algorithms into your data
  4. You create an application UI or visualization out of the data for people to use

WhereOS cuts the time for the above process from weeks or months to hours or days: Installation takes 15 minutes, data integration and normalisation takes a few minutes to set up, there’s a plenty of existing applications and algorithms in the WhereOS Store you can re-use to create your app.

-JP

Who We Are

Data Scientists, Developers & Designers

That’s a good question really. Let me put it this way: We are developers, data scientists and designers. We are a movement and we are revolutionary. We are people who love data and all those beautiful things we create out of it.

WhereOS is a product, a start-up, a community and an ecosystem. So, WhereOS is all of us: it’s me, it’s you and it’s everyone helping each other to create better experiences out of data every day.

Me

If you wish to contact me, send me a message over Linkedin

-JP

Community

Rendering GRIB2 Data, 54 Hour Weather Forecast

Temperature forecast, -20°C=green, 0°C=yellow, +20°C=red Maximum hourly wind gust, logarithmic scale, 0m/s=blue, 40m/s=yellow An example of timeseries data rendered to a video, using WhereOS. The data is provided by Finnish Meteorological Institute: “HIRLAM (High Resolution Limited Area Model) is an operational synoptic and mesoscale weather prediction model.” See article: FMI Hirlam Weather Model on Amazon AWS …

Most Extensive Visualization of US Income: Over 33000 Zip Codes Visualized

This application visualizes mean income of households in United States, for each zip code (ZCTA, zip code tabulation area): Click here to open the application Background: Urban Decay The visualization shows clearly, how large cities in US are surrounded by wealthy zip code areas (red rings). Inner cities, however are areas with less income (green …

Finland: 58 Interesting Indicators Visualized

This is an app, through which you can visualize demographic data from Finland. Try also clicking for example “Relative” and “Higher level university degree”, or “Employed”. Click here to open the application The data used in this visualization: Paavo – Open data by postal code area, Statistics Finland. The material was downloaded from Statistics Finland’s …