BIG DATA

“Real-time Fraud Detection” This is part of a series of interviews on how companies are building data products. In these interviews, we’re sharing how data teams use data, with a...

At intermix.io, we run a fleet of over ten Amazon Redshift clusters. In this post, I’ll describe how we use AWS IAM authentication for our database users. AWS access is...

Many of our customers have a variety of data sets with different data types coming from different sources. Here at Integrate.io, we replicate your data from Amazon RDS to Amazon...

We dive into what an MPP Database is, how it works, and the strengths and weaknesses of Massively Parallel Processing.

This blog is to help guide some early teams with tight engineering resources. If you have growing data, you need to view it in one place, analyze it effortlessly and...

At intermix.io, Elasticsearch is a final destination for data that is processed through our data pipeline. Data gets loaded from Amazon Redshift into Elasticsearch via an indexing job.

What is API automation, and how can it benefit your organization? We answer that and more in this all-in-one guide to API automation.

What are the expectations of a data team within an organization? Today we’d like to share some of our reflections on this question.

Here, we break down the basics of data warehouses and discuss the important criteria that companies must keep in mind when considering a data warehouse for their business.