Towards Data Science

NOVEMBER 4, 2023

") Apache Airflow , for example, is not an ETL tool per se but it helps to organize our ETL pipelines into a nice visualization of dependency graphs (DAGs) to describe the relationships between tasks. Typical Airflow architecture includes a schduler based on metadata, executors, workers and tasks. Image by author.

Data Engineering 83

Data Engineering Data Engineer Engineering BI 83

AltexSoft

OCTOBER 21, 2022

After trying all options existing on the market — from messaging systems to ETL tools — in-house data engineers decided to design a totally new solution for metrics monitoring and user activity tracking which would handle billions of messages a day. cloud data warehouses — for example, Snowflake , Google BigQuery, and Amazon Redshift.

Kafka 93

Kafka Hadoop ETL Tools Big Data 93

AltexSoft

MARCH 30, 2023

Shell, Adobe, Burberry, Columbia, Bayer — you definitely know the names. 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

ProjectPro

NOVEMBER 30, 2021

If you are into Data Science or Big Data, you must be familiar with an ETL pipeline. 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 AWS Glue Data Catalog automatically loads your data and the associated metadata.

Process 52

Process Data Pipeline Data Warehouse AWS 52