Agile
Data Operations + Agile
Data Operations ‘DataOps’ has been inspired by the Agile-premised ‘Development Operations’ model. The ‘DevOps’ model which usually includes security (DevSecOps…
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Cloud ModelsApache Iceberg: an overview
The icebergth is hereth. Apache Iceberg is an open-source table format for large-scale data systems, designed to provide efficient and reliable management of s…
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DataDatabricks Lakeflow (replaces Airflow)
Databricks LakeFlow is built on top of Databricks Workflows and Delta Live Tables. It is an implementation of Apache Airflow built into the Databricks eco syst…
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DataAutomating S3 to Redshift with Glue
A straightfoward method to automate data ingestion from S3 buckets (data lake) to a Redshift (data warehouse) cluster; by using Glue. Create a Redshift cluster…
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AWS TechnologyAWS and Data Pipeline Ingestion
[Data engineering lifecycle from “Fundamentals of Data Engineering” by Matt Housley] Data Ingestion Challenges Data ingestion can be complicated. There are usu…
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AWS TechnologyAWS Glue introduction
AWS Glue is a meta data catalogue service with Extract-Transform-Load logic. The Glue catalogue is based on Hive and is a MySQL DB and a Java front end. Glue &…
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DataData Lake Design and Change Data Capture
Data flowing into the Data Lake obviously changes. Data table changes are captured by CDC or change data capture. Changes in the source database are delivered …
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DataRedshift vs Redshift Spectrum
Amazon Redshift is a petabyte scalable columnar data warehouse that is very efficient in storing raw data and collecting data from various sources. Redshift su…
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Cloud Design GoalsData products – a summary
Data products are the end result of file or data movements to the cloud; ETL; processing; de-duplication; curation and storage in a consumable layer. There is …
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