Monte Carlo

FEBRUARY 15, 2023

Cloud data warehouses solve these problems. Belonging to the category of OLAP (online analytical processing) databases, popular data warehouses like Snowflake, Redshift and Big Query can query one billion rows in less than a minute. What is a data warehouse?

Data Warehouse 52

Data Warehouse Unstructured Data AWS Business Intelligence 52

Ascend.io

DECEMBER 14, 2022

How ETL Became Outdated The ETL process (extract, transform, and load) is a data consolidation technique in which data is extracted from one source, transformed, and then loaded into a target destination. But in a world that favors the here and now, ETL processes lack in the area of providing analysts with new, fresh data.

Data Integration 52

Data Integration Raw Data Data Consolidation Data Warehouse 52

AltexSoft

NOVEMBER 23, 2021

Before we get into more detail, let’s determine how data virtualization is different from another, more common data integration technique — data consolidation. Data virtualization vs data consolidation. Data virtualization platforms can link to different data sources including.

Process 69

Process Data Lake Metadata Data Warehouse 69

ProjectPro

DECEMBER 7, 2021

A pipeline may include filtering, normalizing, and data consolidation to provide desired data. In broader terms, two types of data -- structured and unstructured data -- flow through a data pipeline. The transformed data is then placed into the destination data warehouse or data lake.

Data Pipeline 52

Data Pipeline Architecture Kafka AWS 52