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How ETL Became Outdated The ETL process (extract, transform, and load) is a data consolidation technique in which data is extracted from one source, transformed, and then loaded into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. Optimized for Decision-Making Modern warehouses are columnar and designed for storing and analyzing big datasets.

Data Integration 52

Data Integration Raw Data Data Consolidation Data Warehouse 52

Monte Carlo

FEBRUARY 15, 2023

Finally, where and how the data pipeline broke isn’t always obvious. Monte Carlo solves these problems with our our data observability platform that uses machine learning to help detect, resolve and prevent bad data. Data Loading This is one of the key functions of any data warehouse.

Data Warehouse 52

Data Warehouse Unstructured Data AWS Business Intelligence 52

ProjectPro

DECEMBER 7, 2021

A pipeline may include filtering, normalizing, and data consolidation to provide desired data. It can also consist of simple or advanced processes like ETL (Extract, Transform and Load) or handle training datasets in machine learning applications. Using this data pipeline, you will analyze the 2021 Olympics dataset.

Data Pipeline 52

Data Pipeline Architecture Kafka AWS 52