intermix Blog

Best practices and lessons learned for cloud ETL and data engineering.

Announcing Query Insights - Helping customers with growing data & query volume

3 min READ
January 28th 2019
The number one driver of change for our customers is that they are experiencing huge growth in data and query volume.We observe three main drivers behind that growth:Growth in the number of data sources connected to a Redshift cluster and the volume of data coming from those sources. We observe […]
Paul Lappas Paul Lappas

14 Examples of Data Pipelines Built with Amazon Redshift

14 min READ
January 17th 2019
At, we work with companies that build data pipelines and data lakes in the cloud. Some start "cloud-native", others migrate from on-premise solutions like Oracle or Teradata. What they all have in common though is the one question they ask us at the very beginning:"How do other companies […]
Mike Pavloski Mike Pavloski

Are you paying too much for Amazon Redshift? 4 steps to reduce your costs.

7 min READ
September 18th 2018
Amazon Redshift’s pricing can be a bit confusing, since you can choose to pay hourly based on your node usage (on demand), by the number of bytes scanned (spectrum), by the time spent over your free daily credits (concurrency scaling), or by committing to an annual plan (reserved instance). And as you scal […]
Stefan Gromoll Stefan Gromoll

Product Update: An Easy Way To Find The Cause of Disk Usage Spikes in Amazon Redshift

1 min READ
September 12th 2018
In August we worked on a few new features in that make your life as a data engineer easier when working with Amazon Redshift.For example, "Disk full" errors can be one of the performance issues you may encounter. And so we've made it easier to find the cause of disk usage spikes in Amazo […]
Paul Lappas Paul Lappas

Top 14 Performance Tuning Techniques for Amazon Redshift

19 min READ
August 31st 2018
IntroductionAmazon Redshift is a data warehouse that makes it fast, simple and cost-effective to analyze petabytes of data across your data warehouse and data lake. Amazon Redshift can deliver 10x the performance of other data warehouses by using a combination of machine learning, massively parallel pro […]
Paul Lappas Paul Lappas
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