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Frequency Table

Frequency is the number of times a specific data value occurs in your dataset. A frequency table lists a set of values and how often each one appears. They help you understand which data values are common and which are rare. These tables organize your data and are an effective way to present the results […]
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Data Pipelines with Apache Beam

Big Data Implementation with BeamHow to implement Data Pipelines with the help of BeamSourceApache Beam is one of the latest projects from Apache, a consolidated programming model for expressing efficient data processing pipelines as highlighted on Beam’s main website [1]. Throughout this article, we will provide a deeper look into this specific data processing model and explore its data pipeline structures and how to process them. In addition, we will also example.What is…… Read more...

Big Data Analytics: A Viable Solution To All Healthcare Problems

Data AnalyticsImage by Cogito Tech LLCThe term “Big Data” is extremely popular across the globe. It is the new key raw material for the healthcare industry, which is helping Artificial Intelligence (AI) and machine learning algorithms to properly utilize the important information and progressively improve the overall services.In this exclusive article, we will inform you about big data and big data analytics, why would you genuinely need them, and how they can correctly solve your…… Read more...

What helped us build strong self-service analytics in a Fintech startup

Photo by City Church Christchurch on UnsplashOne of the proudest work I have done in my previous job is that we have built strong self-service analytics inside our organization.To get around all the buzz around self-service analytics, a very simple yet powerful argument is that, for quite a long time a BI team of only two (me and another BI analyst) was the data “brain” of an organization of 300+, i.e., literally all numbers for both internal decision-making and external investor…… Read more...

Learning to hash

Mapping books to different slots on the shelf. Photo by Sigmund on UnsplashHow to design data representation techniques with applications to fast retrieval tasksHashing is one of the most fundamental operations in data management. It allows fast retrieval of data items using a small amount of memory. Hashing is also a fundamental algorithmic operation with rigorously understood theoretical properties. Virtually all advanced programming languages provide libraries for adding and retrieving…… Read more...

RetailZoom Uses Sisense to Help Beer Lovers Find the Perfect Brew

Beer drinkers today are more spoiled for choice than ever before. From suburban supermarkets to big city bodegas, cooler cases are filled to bursting: IPAs, pilsners, stouts, lagers, goses, and countless other varieties and variations. 
Beer culture is ascendant around the world and in the US, totalling over a half-trillion (USD) in sales globally. While COVID-related restaurant closures dealt a blow to the beer industry, 2021 saw a 2.5% bump in beer sales and strong international growth…… Read more...

Demystifying Bicycle Theft Cases In Toronto: Which Neighborhoods Should Get More Attention?

Demystify Bicycle Theft Cases In Toronto: Which Neighborhoods Should Get More Attention?Discover which neighborhoods should the Toronto Police Service keep an eye on for potential bicycle thefts based on historical data.SummaryThis study aims to figure out which neighborhoods in Toronto should get attention in terms of bicycle thefts, based on the list of reported bicycle theft cases published by the Toronto Police Service from 2014–2020. This study suggests that the Toronto Police Service…… Read more...

A Free And Powerful Labelling Tool Every Data Scientist Should Know

One of the best labelling tools I have ever usedPhoto by Markus Spiske from PexelsNotification: You have a new job request!As a data scientist, you will definitely need to train models to meet your organization’s needs. Most of the time, you require labelled data from within your company in order to build a customized solution.You’re approached by a product manager one day who wants you to build a named entity recognition model to improve the quality of the downstream data science…… Read more...