Databand.ai

AUGUST 30, 2023

These tools play a vital role in data preparation, which involves cleaning, transforming and enriching raw data before it can be used for analysis or machine learning models. There are several types of data testing tools. This is part of a series of articles about data quality.

Data Cleanse 52

Data Cleanse Data Pipeline Datasets Data Validation 52

Databand.ai

JULY 19, 2023

By loading the data before transforming it, ELT takes full advantage of the computational power of these systems. This approach allows for faster data processing and more flexible data management compared to traditional methods. The Transform Phase During this phase, the data is prepared for analysis.

Data Cleanse 52

Data Cleanse Raw Data Data Storage Data Warehouse 52

Ascend.io

SEPTEMBER 19, 2023

Automated ETL Before unraveling the nuances that set traditional and automated ETL apart, it’s paramount to ground ourselves in the basics of the traditional ETL process. ETL stands for: Extract: Retrieve raw data from various sources. The result?

ETL Tools 52

ETL Tools ETL Method Utilities Data Engineering 52

ProjectPro

NOVEMBER 30, 2021

Now that we have understood how much significant role data plays, it opens the way to a set of more questions like How do we acquire or extract raw data from the source? How do we transform this data to get valuable insights from it? Where do we finally store or load the transformed data?

Process 52

Process Data Pipeline Data Warehouse AWS 52