The Delta Method — for Estimating Expectations and Variance

Supply chain organizations have for the most part looked at optimizing decisions such as increasing revenue, minimizing costs and improving process by the use of internal data for quite some time now. However with the advent of Covid-19 in 2020 — the brittleness of the response to extraneous factors has…

Data Driven Decision Making for Commodity Management Although the share of primary commodities in global output and trade has declined over the past century, fluctuations in commodity prices continue to affect global economic activity. …

When considering the list for Open Source Identity and Access Management solutions out there Keycloak is an interesting option as it is the upstream open source project to RedHat’s commercial SSO (Single Sign On) product. …

Apache Superset is one of the neater data visualization and exploration tools that I have come across. Positioned as an open-source cloud-native application, Superset was created by Maxime Beauchemin (the creator of Apache Airflow — another open-source Python-based project for workflow management) while he was working at Airbnb.

The outcome that every organization expects to drive through the adoption of product analytics is about scaling customer empathy by understanding exactly how users interact with their product and use these insights for data-driven growth and innovation. …

If you are a Data Engineer or Data Scientist who uses the Azure Cloud to build your analytics pipeline or service, you would frequently come across the problem of controlling who gets access to the resources in your pipeline and what they can do once they have access, in the…

The “worth” or value of networks is often expounded upon across a wide variety of subjects from the world wide web to the value of digitally-related companies. The bone of contention that arises mainly is, how can this be quantified with a mathematical base. There are a few empirical laws…

Bloom Filters are quite simply put space-efficient, probabilistic data structures which help answer the question of set membership. From a mathematical lens say that you need to verify whether an element x belongs to a set A , if the Bloom Filter as a data structure returns true for x…

At it’s heart Azure Synapse Analytics, quite simply put is a Massively Parallel Processing (MPP) Service, which run on the Microsoft SQL Server engine, providing concurrency, elasticity and scalability. How Azure Synapse Analytics differs from other on-premises data warehouses lies purely in the manner that it has been architected for…