Ascend.io

AUGUST 31, 2023

The Data Warehouse Pattern The heart of a data warehouse lies in its schema, capturing intricate details of business operations. This unchanging schema forms the foundation for all queries and business intelligence. Modern platforms like Redshift , Snowflake , and BigQuery have elevated the data warehouse model.

Data Lake 52

Data Lake ETL Tools Data Warehouse Data Pipeline 52

AltexSoft

AUGUST 29, 2023

In 2010, a transformative concept took root in the realm of data storage and analytics — a data lake. The term was coined by James Dixon , Back-End Java, Data, and Business Intelligence Engineer, and it started a new era in how organizations could store, manage, and analyze their data.

Data Lake 52

Data Lake Architecture IT Amazon Web Services 52

AltexSoft

JANUARY 26, 2022

Below we list the core duties that this data specialist may undertake. Data modeling. One of the core responsibilities of an analytics engineer is to model raw data into clean, tested, and reusable datasets. That’s where the business-oriented side of analytics engineers should show up at its best.

Engineering 59

Engineering Software Engineer Software Engineering Data Warehouse 59

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