Community - Cloud Data Integration Software | Matillion
Meet Matillion's #TeamGreen

Meet Matillion’s #TeamGreen Going to AWS reInvent 2017

Matillion is sending some of its best and brightest to AWS re:Invent 2017 in Las Vegas. Find out who will be there and swing by our booth #504. If...

Using the OData Query component in Matilltion ETL for Google BigQuery

Using the OData Query component in Matillion ETL for Snowflake

Matillion uses the Extract-Load-Transform (ELT) approach to delivering quick results for a wide range of data processing purposes: everything from customer behaviour analytics, financial analysis, and even reducing the...

Top 5 AWS re:Invent 2017 Sessions for Pros

Top 5 AWS re:Invent 2017 Sessions for AWS Pros

re:Invent already has over 1,000 sessions (with more being added as we get closer to the event), over 5 days. It will be impossible to see it all. Instead...

Matillion Cloudex Awards

Matillion Picks Up Award at Clearwater International Cloudex 2017

Matillion is a leading force amongst the Top Twenty Cloud Companies in the UK having won Runner Up 2017 at the Clearwater International Cloudex awards on 9th November! Cloudwater...

Using the Excel Query component in Matillion ETL for BigQuery

Using the Excel Query component in Matillion ETL for BigQuery

Matillion uses the Extract-Load-Transform (ELT) approach to delivering quick results for a wide range of data processing purposes: everything from customer behaviour analytics, financial analysis, and even reducing the...

What to do with a Late Arriving Dimension or Early Arriving Facts

This blog article describes a commonly-encountered practical problem when you are creating a dimensional model. With a star schema, it’s a fixed rule of dimensional modeling that every foreign...

Top 5 AWS re:Invent 2017 Sessions for Pros

Top 10 AWS re:Invent 2017 Sessions for Beginners

re:Invent 2017 already has over 1,000 sessions (with more being added as we get closer to the event). It will be impossible to see it all. Instead of spending...

Marketo Query component in Matillion ETL for BigQuery

Using the Marketo Query component in Matillion ETL for Amazon Redshift

Matillion uses the Extract-Load-Transform (ELT) approach to delivering quick results for a wide range of data processing purposes: everything from customer behaviour analytics, financial analysis, and even reducing the...

S3 Load component in Matillion ETL for Snowflake

Using the S3 Load component in Matillion ETL for Snowflake

Matillion uses the Extract-Load-Transform (ELT) approach to delivering quick results for a wide range of data processing purposes: everything from customer behaviour analytics, financial analysis, and even reducing the...

Extract-Transform-Load-ETL-or-Extract-Load-Transform-ELT

Extract, Transform, Load (ETL) OR Extract, Load, Transform (ELT)

To Extract, Transform, Load (ETL), or Extract, Load, Transform (ELT), that is the question. What is the future of ETL/ELT? Is ETL really dead? Is ELT the new ETL?...