Customer 360 (C360) provides a complete and unified view of a customer’s interactions and behavior across all touchpoints and channels. This view is used...
Image by Editor
SQL, pronounced s-q-l or sequel, stands for Structured Query Language. It is a programming language used to access and manipulate databases....
Data integration tools are used to collect data from external (and internal) sources, and to reformat, cleanse, and organize the collected data. The ultimate...
The work of data engineers is extremely technical. They are responsible for designing and maintaining the architecture of data systems, which incorporates concepts ranging from...
The acronym ETL—Extract, Transform, Load—has long been the linchpin of modern data management, orchestrating the movement and manipulation of data across systems and databases....
Introduction
As internet usage grows, companies leverage data for innovation and competitive advantage. With 66.2% of the global population connected to the internet as of...
Financial services customers are using data from different sources that originate at different frequencies, which includes real time, batch, and archived datasets. Additionally, they...
Table of contents
Data Science is a combination of mathematics, statistics, machine learning, and computer science. Data Science is collecting, analyzing and interpreting data to...
With Amazon EMR 6.15, we launched AWS Lake Formation based fine-grained access controls (FGAC) on Open Table Formats (OTFs), including Apache Hudi, Apache Iceberg,...
Funding for insurtech startups worldwide has gone through rapid changes, and another shift is underway, as insurance companies rush to take advantage of artificial...