Tag: Data Science

Data Engineering and Analytics

ETL-Digital-Transformation

Importance of ETL Process in Digital Transformation

An ETL (Extract, Transform, Load) process is an automated way to move data between different databases. This process allows for the extraction of data from one database into another, transforming the data, and then loading it into the destination database. In order to maintain quality control, organizations must perform regular…

Learn More  

Data Engineering and Analytics

Data Engineering

What is Data Engineering?

Data engineering is a set of processes of creating interfaces and mechanisms for how data should be created, captured, copied, stored, and consumed by data consumers. Dedicated specialists such as data engineers and data analysts handle the organization’s data and data infrastructure so that data remains available and usable by…

Learn More  

Data Engineering and Analytics

Benefit of Data Analytics

Top 10 Industries That Benefit Most From Data Analytics

Businesses that embrace data and analytics tools transform their business models faster, encounter new opportunities efficiently for customers, products, revenue streams, and services. Data analytics help companies in all aspects of the business, from sourcing materials to forecasting demand to accounting, human resource activities to all sides of marketing, and…

Learn More  

Cloud Security and DevSecOps

Data Security in the Cloud

Data Security: How To Keep Data Secure In The Cloud?

Data security is the amalgamation of best practices and the technology of protecting valuable and sensitive company and customer data, for instance, personal or financial information. Every business now collects, stores, and manages valuable data in the cloud. Hackers look for sensitive information in the cloud-based applications such as the…

Learn More  

Data Engineering and Analytics

Data warehouse

List of Top 7 Data Warehouse Best Practices

The success of a project such as building a data warehouse development depends on your understanding of the business, its IT needs and pain points. Comprehending all these aspects help give businesses the structure it needs to be successful in data warehousing efforts. If you are going to get into…

Learn More