Databand.ai

JULY 19, 2023

What is ELT (Extract, Load, Transform)? A Beginner’s Guide [SQ] Niv Sluzki July 19, 2023 ELT is a data processing method that involves extracting data from its source, loading it into a database or data warehouse, and then later transforming it into a format that suits business needs.

Data Cleanse 52

Data Cleanse Raw Data Data Storage Data Warehouse 52

Hepta Analytics

FEBRUARY 14, 2022

DE Zoomcamp 2.2.1 – Introduction to Workflow Orchestration Following last weeks blog , we move to data ingestion. We already had a script that downloaded a csv file, processed the data and pushed the data to postgres database. This week, we got to think about our data ingestion design.

Data Ingestion 52

Data Ingestion Data Engineering Data Engineer Engineering 52

Databand.ai

JULY 28, 2022

What is Data Lineage? Niv Sluzki 2022-07-28 10:20:02 The term “data lineage” has been thrown around a lot over the last few years. And getting it right matters even more to data organizations. This article will unpack everything you need to know about data lineage, including: What is it? What is data lineage?

Metadata 52

Metadata Data Lake Datasets Data Warehouse 52

AltexSoft

JANUARY 26, 2022

As you may guess from the name, this role sits somewhere in the middle of a data analyst and data engineer, but it’s really neither one nor the other. Quoting a comment from the Reddit discussion , “Their [analytics engineers] job is to marry the technical requirements of the data stack with the business objectives”.

Engineering 59

Engineering Software Engineer Software Engineering Data Warehouse 59

ProjectPro

JUNE 16, 2022

An AWS data pipeline helps businesses move and unify their data to support several data-driven initiatives. It enables flow from a data lake to an analytics database or an application to a data warehouse. This blog will teach you about AWS Data Pipeline, its architecture, components, and benefits.

Data Pipeline 59

Data Pipeline AWS Amazon Web Services Data Consolidation 59

Snowflake

MARCH 30, 2023

A 2016 data science report from data enrichment platform CrowdFlower found that data scientists spend around 80% of their time in data preparation (collecting, cleaning, and organizing of data) before they can even begin to build machine learning (ML) models to deliver business value.

Engineering 79

Engineering Raw Data Data Science Scala 79

AltexSoft

FEBRUARY 11, 2023

Data is now one of the most valuable assets for any kind of business. The 11th annual survey of Chief Data Officers (CDOs) and Chief Data and Analytics Officers reveals 82 percent of organizations are planning to increase their investments in data modernization in 2023. What is a data architect?

Data Architect 87

Data Architect Certification Generalist Big Data 87