Customer Master Data Management Services -introductionCustomer master data refers to a foundational set of information about individual customers or entities a business interacts with. It includes essential details that help identify, categorize, and understand customers better. This data is a central repository of information that various departments and systems with
Overview of Fraud Detection using Machine learningFraud detection using machine learning has emerged as a powerful and effective approach to identifying and preventing fraudulent activities across various domains. With the increasing complexity of fraudulent schemes and the sheer volume of data generated in today's digital world, traditional rule-based methods have be
Relational DatabasesThe relational database is a database management system (DBMS) that organizes and stores data in a tabular format consisting of rows and columns. In a relational database, data is structured into tables representing a specific entity or concept. Each row in the table represents a unique record, and each column represents a data attribute or field a
Snowflake Clustering - IntroductionSnowflake Clustering refers to a performance optimization feature in the Snowflake cloud-based data warehousing platform. Snowflake clustering improves query processing efficiency by organizing data on disk in a structured and optimized manner.In Snowflake, data is stored in virtual warehouses, which are scalable compute clusters. Cl
Data Analysis Vs. Data EngineeringData analysis and data engineering are distinct but interconnected fields in data science and analytics. Both play crucial roles in making sense of data and extracting valuable insights, but they have different focuses and responsibilities. Let's explore data analysis vs. data engineering:What is Data analysis?In Data analysis, we exa
Data Science in RetailData is an important factor in any business sector nowadays. Data plays a crucial role in the decision-making process of businesses to drive growth. We live in an age where data science is revolutionizing various industries—one of the main industries getting affected due to the application of data science in retail sector.Many e-commerce and r
What is Data Mesh?A data mesh is a new approach that evolves beyond traditional methods of data accessibility. It is a way of thinking about the data based on the decentralized architecture.It improves the organizational ability to empower data producers and consumers with accessibility and management without expert team intervention. It mainly focuses on distributing
Data Conversion ProcessThe digital era is not a future forecast. We are already in the middle of the digital age, where data is crucial. Data management has become an important part of business processes. Businesses use different business tools and systems to use gathered data for analysis. The collected data don't need to be ready for use. Very firstly, data enginee
dbt (Data Build Tool) DBT (Data Build Tool) - an open-source tool for orchestrating data transformations in your data warehouse. It allows you to define and manage your data transformation workflows, making building and maintaining reliable data pipelines easier. Let us learn the general steps of data transformation with dbt. Data Transformation wi
How to build a data pipeline? Building a data pipeline involves extracting, transforming, & loading (ETL) data from various sources into a target destination. Let us learn how to build a data pipeline? Here's a general framework for building a data pipeline:Define Objectives:Clearly define the objectives and requirements to build a data pipeline. Ident
