Transaction Categorization Using ML in BFSI Domain
reference Transaction classification is the process of categorizing transactions based on their underlying nature and purpose. It is an important task
Data Fabric: Heart of Data centric Enterprise
Over the past decade, we have been hearing a lot of terminologies like Cloud Enterprise Data Warehouse(Cloud EDW), Data Lakes,
NLP: Topic Modelling
Topic modeling is recognizing the words from topics present in documents or corpus of domain relevant data. This is useful
Data Analytics Architecture on Azure using Delta Lake
In this blog post, we will understand how we can leverage Delta Lake and create a generalized Data Analytics Architecture
Deep-Dive into DATADOG and how to use it for your System and with Python(Flask) Application
A brief history of Datadog Datadog is an infrastructure monitoring service that helps users or developers(especially DevOps) monitor the different services.
Omnicloud: A reluctant vendor race to commonality, interoperability, and the future of the internet.
What is Omnicloud? The most detested word in the tech lexicon for cloud vendors is easily by far "omnicloud". What is
Distribution in Data Science
Discrete 1. Binomial
Remove duplicates in tabular data having high cardinality and degree | Optimized Approach
If you're into IT or related business, then at least once in a lifetime you come across a situation where
Building a Customer Data Platform using Databricks in AWS
What is CDP? In Customer Data Platform all the customer data are brought into one place, stitched together to give a