Towards Data Science

NOVEMBER 4, 2023

I’d like to discuss some popular Data engineering questions: Modern data engineering (DE). Does your DE work well enough to fuel advanced data pipelines and Business intelligence (BI)? Are your data pipelines efficient? PETL is great for aggregation and row-level ETL. What is it? Image by author.

Data Engineering 82

Data Engineering Data Engineer Engineering BI 82

Ascend.io

AUGUST 31, 2023

In this article, we assess: The role of the data warehouse on one hand, and the data lake on the other; The features of ETL and ELT in these two architectures; The evolution to EtLT; The emerging role of data pipelines. However , to reduce the impact on the business, a data warehouse remains in use.

Data Lake 52

Data Lake ETL Tools Data Warehouse Data Pipeline 52

AltexSoft

OCTOBER 21, 2022

The technology was written in Java and Scala in LinkedIn to solve the internal problem of managing continuous data flows. cloud data warehouses — for example, Snowflake , Google BigQuery, and Amazon Redshift. Kafka is complex in terms of cluster setup and configuration, maintenance, and data pipeline design.

Kafka 93

Kafka Hadoop ETL Tools Big Data 93

ProjectPro

NOVEMBER 30, 2021

This guide provides definitions, a step-by-step tutorial, and a few best practices to help you understand ETL pipelines and how they differ from data pipelines. The crux of all data-driven solutions or business decision-making lies in how well the respective businesses collect, transform, and store data.

Process 52

Process Data Pipeline Data Warehouse AWS 52

dbt Developer Hub

NOVEMBER 28, 2021

In my days as a data consultant and now as a member of the dbt Labs Solutions Architecture team, I’ve frequently seen Airflow, dbt Core & dbt Cloud ( via the official provider ) blended as needed, based on the needs of a specific data pipeline, or a team’s structure and skillset. In a Google Cloud Storage bucket.

Google Cloud 52

Google Cloud SQL Cloud Consulting 52

AltexSoft

MARCH 30, 2023

Source: Databricks Delta Lake is an open-source, file-based storage layer that adds reliability and functionality to existing data lakes built on Amazon S3, Google Cloud Storage, Azure Data Lake Storage, Alibaba Cloud, HDFS ( Hadoop distributed file system), and others.

Scala 64

Scala Data Lake BI Google Cloud 64