The DataWeave Blog

Posts on Data Engineering

 

Flaunt Your Deep-Tech Prowess at Bootstrap Paradox Hackathon Hosted by Blume Ventures

When DataWeave was founded in 2011, we set out to democratize data by enabling businesses to leverage public Web data to solve mission-criti...

Vikranth Ramanolla | 1st Aug, 2019,  

 

CherryPy vs Sanic: Which Python API Framework is Faster?

Rest APIs play a crucial role in the exchange of data between internal systems of an enterprise, or when connecting with external services. ...

Rahul Ramesh | 24th Jan, 2018,  

 

Using Probabilistic Data Structures to Build Real-Time Monitoring Dashboards

As a provider of Competitive Intelligence as a Service to retailers and consumer brands, DataWeave aggregates and analyses hundreds of milli...

Rahul Ramesh | 7th Jul, 2017,  

 

Implementing a Machine-Learning Based eCommerce Product Classification System

For online retailers, price competitiveness and a broad assortment of products are key to acquiring new customers, and driving customer rete...

Ankush Bhalotia | 22nd Jun, 2017,  

 

PriceWeave

Social media can be defined as virtual communities and networks, where social interaction takes place among people and a wide variety of co...

DataWeave Marketing | 31st May, 2016,  

 

Smartphones vs Tablets: Does size matter?

Smartphones vs Tablets: Does size matter? We have seen a steady increase in the number of smartphones and tablets since the last five years...

DataWeave Marketing | 4th Aug, 2015,  

 

Why is product matching hard?

Product Matching is a combination of algorithmic and manual techniques to recognize and match identical products from different sources. Pro...

DataWeave Marketing | 4th Aug, 2015,  

 

A Peek into GNU Parallel

GNU Parallel is a tool that can be deployed from a shell to parallelize job execution. A job can be anything from simple shell scripts to c...

DataWeave Marketing | 4th Aug, 2015,  

 

Conquering the Data Mountain API by API

Let’s revisit our raison d’être: DataWeave is a platform on which we do large-scale data aggregation and serve this data in forms that...

DataWeave Marketing | 4th Aug, 2015,  

 

json vs simplejson vs ujson

Without argument, one of the most common used data model is JSON. There are two popular packages used for handling json — first is the sto...

DataWeave Marketing | 4th Aug, 2015,  

 

Web Scraping at Scale: Python vs Go

Scaling is a common challenge when you have to deal with a lot of data everyday. This is one thing we face at DataWeave a lot and have man...

DataWeave Marketing | 4th Aug, 2015,  

 

Mining Twitter: Analyzing Social Reactions to Products and Brands

[This post was written by Dipanjan. Dipanjan works in the Engineering Team with Mandar, addressing some of the problems related to Data Sema...

DataWeave Marketing | 9th Dec, 2014,  

 

Mining Twitter in Depth to Understand and Analyze Product Trends

Social media can be defined as virtual communities and networks, where social interaction takes place among people and a wide variety of co...

DataWeave Marketing | 5th Dec, 2014,  

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