2012 - The year that was
We at DataWeave had a fast-paced 2012 with a large, at times, mind-bogglingly so ,number of threads running in parallel. As we draw close to the New Year, we want to pause a moment and look back at the year that was. We launched DataWeave and PriceWeave in February 2012. The number of data points that we served as on 28th December is 44,64,310. This approximates to about 14,000 data points every...
How we created Lowprice Android app - Part 2
]]> [Guest post from Pranay Airan who’s an early adopter of DataWeave. Pranay is enthusiastic about app development. Below he shares his experiences of developing LowPrice, an Android app powered by DataWeave’s pricing API. This is the second and final part of his post.] In part-1 of this post, I discussed about the BookSearch API provided by DataWeave. In this part, I will discuss the Scan &...
How we created Lowprice Android app
// ]]]]>]]> [Guest post from Pranay Airan who’s an early adopter of DataWeave. Pranay is enthusiastic about app development. Below he shares his experiences of developing LowPrice, an Android app powered by DataWeave’s pricing API.] In this two part blog post, I will discuss how I created LowPrice using DataWeave’s APIs and a custom backend. LowPrice...
Story of a Data API
Data is ubiquitous on the web. Data is available to anybody who wants to make use of it. Businesses and developers can greatly benefit from data. All the above are given. But the problem is that data is spread across a large number of sources; it is not clean; there exists duplicate data; and it keeps getting updated all the time. There is no one solution that exists today, that can make this data...
Our worldview of data
We talked about our Data APIs at the startup saturday held recently in Bangalore, India. You can find the slides here. We presented our worldview of data and the unique challenges in dealing with different “kinds” of data. The image above signifies the two fundamental axes that helps us in classifying data. The horizontal axis signifies temporality while the vertical axis represents...
Data driven Journalism and DataWeave
Wikipedia states: data-driven journalism as a journalistic process based on analyzing and filtering large data sets for the purpose of creating a news story. Data driven journalism enables reporters to tell meaningful stories with insights gleaned from data using various tools. We are observing a growing trend in which Governments and other institutions are making their data publicly available. In...
DataWeave at Open DataCamp Bangalore
Slides from our presentation at the Open DataCamp held in Bangalore on March 24th, 2012. Open Data and APIs - DataWeave View more presentations from DataWeave
What can you do with data APIs?
Adhering to our core philosophy, “make open data on the web easily accessible and consumable”, we have launched a few APIs around open data we have been monitoring for about an year now. How can these APIs help you? APIs reduce the development time of data-dependent apps considerably, as you can focus on more relevant aspects of your application, such as algorithm design, visualizations,...
Meet DataWeave ...
A month has passed by since the launch of DataWeave’s new website. We have a seen a steady increase in usage and a few paying customers. DataWeave is about making data on the Web easily accessible and consumable. Be it in creating applications or gaining insights in data, the first step any user goes through is: “Get the right data in the right form”. Though a lot of data sources...
Welcome to DataWeave
DataWeave is a data marketplace that enables data-driven businesses to access, search and visualize vast repositories of curated data from the Web in a form they can derive value from. Our offerings include: Curated datasets across various domains Example datasets: commodity pricing data, government census data, location data, election data, scientific/academic datasets, weather data etc....