BizAcuity

APRIL 14, 2022

They tell you how big data helped them create a mark in today’s world. Currently in the market, organizations look at on-premises, cloud storage, hybrid and multi-cloud storage options based on the kind of data they have and decide between data lakes, data warehouses or both depending on the kind of data they have and their long term goals.

Big Data 130

Big Data Data Analytics Data Analytics Data Management 130

Astera

JANUARY 25, 2024

Reverse ETL (Extract, Transform, Load) is the process of moving data from central data warehouse to operational and analytic tools. How Does Reverse ETL Fit in Your Data Infrastructure Reverse ETL helps bridge the gap between central data warehouse and operational applications and systems.

E-Commerce 52

E-Commerce Data Warehouse Retail Customer Experience 52

Astera

FEBRUARY 7, 2024

PostgreSQL is an open-source relational database management system (RDBMS). Its versatility allows for its usage both as a database and as a data warehouse when needed. Data Warehousing : A database works well for transactional data operations but not for analysis, and the opposite is true for a data warehouse.

E-Commerce 52

E-Commerce Data Warehouse Monitoring Data Management 52

Inflexion Analytics

JUNE 17, 2024

What is a Data Pipeline and How Can Google CDF Help? A data pipeline serves as a data engineering solution transporting data from its sources to cloud-based or on-premise systems, data warehouses, or data lakes, refining and cleansing it as necessary. And so far it’s shaping up very well.

Digital 52

Digital E-Commerce Real-time Data Data Warehouse 52