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New managed Incremental Extract Pattern
[et_pb_section admin_label=”section”][et_pb_row admin_label=”row”][et_pb_column type=”4_4″][et_pb_text admin_label=”Text” background_layout=”light” text_orientation=”left” text_font_size=”14″ use_border_color=”off” border_color=”#ffffff” border_style=”solid”] Dimodelo Data Warehouse Studio now allows you to extract only changed data from your source system, reducing load on your source systems and overall ETL duration. I.e. To do change data capture (CDC) at the source. Dimodelo Data Warehouse Studio now includes a managed…
A Dimodelo Data Warehouse Automation Case Study Podcast
Talking Analytics Platform Services with Ashley Furniture’s Data Architect Phil Haddad, and Microsoft’s Principal Program Manager in the Azure SQL Data Warehouse team, Matt Usher. In this podcast we discuss: Refractoring an exising data warehouse Automating data warehouse development in an enterprise environment with 700 applications Migrating to Azure Data Warehouse from PDW/APS The role Microsoft Partners…
Conversations with Data Warehouse Experts – James Serra
In this episode, it is my pleasure to speak with James Serra, Data Platform Solution Architect and Data Warehouse Evangelist at Microsoft. He is a thought leader in data warehousing and data management with over 25 years of experience in data modeling, data governance, and development methodologies. James is also a popular and prolific blogger…
Conversations with Data Warehouse Experts – Hans Michiels
Join me for an informative discussion with Hans Michiels, founder and moderator of the Data Warehouse Automation Guide – DataWarehouseAutomation.Guide. Hans is an independent Business Intelligence and Data Warehouse consultant using Microsoft technology, working in the Netherlands. He has a special interest in Data Warehouse Automation and Metadata solutions. You can connect with Hans…
Creating and Using a Derived Staging Table
What is a derived staging table? It’s a table created in your Staging database that derives its data from other already existing Staging tables. Its useful for creating aggregations, or allocations of data prior to the transform and load process into your Data Warehouse. It can also be useful for tables that don’t have any…