This is a guest post by Preetish Panda. Twitter has always been a rich source of social data that allows us to perform analysis on wide range of topics. Considering more than 6,000 tweets are posted per second and the open API gives real-time access, twitter data mining has compelling use cases in trend analysis, brand sentiment measurement, and feedback aggregation of new products and services. In this study, we’re going to extract tweets posted by twitter handle of Bill Gates and perform exploratory analysis along with text mining using `R`. Extracting data First off all, we need to create a twitter app that would allow us to fetch required data via Twitter API. Perform the activities given below to […] Continue Reading
Guest post by Finnegan Pierson. Big data entails large volumes of data that are analyzed computationally to show trends and pattern. It comprises 3Vs; enormous volumes of data, the velocity of processing data, and the broad variety of data categories. Big data originates from scientific experiments or business sale records. Big data has primarily transformed the business world in 2017. Dialogue with customers Big data allows you to engage with customers regarding your products. Consumers take time in purchasing products by shopping around and comparing with other brands. Big data enables you to profile the behavior of customers. As a result, you will have a real-time conversation with the consumers to gain their loyalty. Keeping data safe Big data tools are […] Continue Reading
Make no mistake: the world is based on data, we’re just living in it. According to Forbes, data volumes are absolutely exploding – in the past two years alone, more data was created than in all of the previous years that make up human history combined. As soon as 2020, there will be roughly 1.7 megabytes of new data created for every single person living on Earth every second! This is due largely to the fact that nearly everything you buy is now connected to the Internet – from that big new smart TV to your toaster to your thermostat and everything in between. Everything is connected, creating and sharing data between them, in an effort to make your life […] Continue Reading
Leeds, the capital of the North, is joining London, Chicago, Barcelona, Madrid, Kuala Lumpur, Ho Chi Minh, Jakarta and Rio de Janeiro as a host city for Big Data Week 2016 – the Global Festival of Data. Since they do things differently up north, they’re giving it a personal touch, hosting events across the city, working with academics, businesses, associations, and others to offer new ways to explore data and the power it has to bring about transformation. They do not rely on fame, nor formalize when it comes to holding a presentation. Big Data Week Leeds focuses on the improvements to our lives that smart data analysis and analysts can bring. They want everyone to join in and they […] Continue Reading
The cloud has transformed big data analytics with its agility, elasticity, transparency and simplicity. Keyur shares tips to leverage the power of the cloud for Big Data Analytics based on his real-life experiences at Betfair.
Working on the first Data-Lake-as-a-Service in the world gave us the perspective of how Data Lakes enable companies to understand correlations between existing and new external data in ways traditional BI tools cannot. The rise of Docker & containerized microservices has paved the way for significantly faster deployment, less overhead, easier migration & faster performance for big data apps.
Honest Café, an unmanned café chain, is a perfect example of how young new businesses are leveraging predictive analytics for the first time to make better, more strategic business decisions.
Publishers’ content can be a rich source of data on users’ interests, brand affinity and purchase intent. When users interact with articles about products and brands, they generate click, page impression and conversion data. Analyzed correctly, such behavioural signals can help us to predict their future shopping behavior.
Big Data is now the mainstay for many industries. We are seeing typical patterns of use evolving to a point where the gap between vendor and use-case is so repeatable that turn-key solutions are viable.